PATENT DOCUMENT

Publication Number: US-9842105-B2
Application Number: US-201514838323-A
Country: US
Kind Code: B2

Title: Parsimonious continuous-space phrase representations for natural language processing

Abstract:
Systems and processes for natural language processing are provided. In accordance with one example, a method includes, at a first electronic device with one or more processors and memory, receiving a plurality of words, mapping each of the plurality of words to a word representation, and associating the mapped words to provide a plurality of phrases. In some examples, each of the plurality of phrases has a representation of a first type. The method further includes encoding each of the plurality of phrases to provide a respective plurality of encoded phrases. In some examples, each of the plurality of encoded phrases has a representation of a second type different than the first type. The method further includes determining a value of each of the plurality of encoded phrases and identifying one or more phrases of the plurality of encoded phrases having a value exceeding a threshold.

Claims:
What is claimed is: 
     
       1. A non-transitory computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors of an electronic device, cause the electronic device to:
 receive a plurality of words; 
 map each of the plurality of words; 
 associate the mapped words to provide a plurality of phrases, each of the plurality of phrases having a representation of a first type; 
 encode each of the plurality of phrases to provide a respective plurality of encoded phrases, each of the plurality of encoded phrases having a representation of a second type different than the first type; 
 determine a value of each of the plurality of encoded phrases; and 
 identify one or more phrases of the plurality of encoded phrases having a value exceeding a threshold. 
 
     
     
       2. The non-transitory computer-readable storage medium of  claim 1 , wherein mapping each of the plurality of words to a word representation includes mapping a character sequence of each of the plurality of words. 
     
     
       3. The non-transitory computer-readable storage medium of  claim 1 , wherein each of the plurality of phrases includes a same number of mapped words. 
     
     
       4. The non-transitory computer-readable storage medium of  claim 1 , wherein encoding each of the plurality of phrases to provide a respective plurality of encoded phrases comprises:
 for each phrase:
 adjusting a dimensionality of the phrase; and 
 reconstructing the phrase to provide an encoded phrase. 
 
 
     
     
       5. The non-transitory computer-readable storage medium of  claim 4 , wherein:
 adjusting a dimensionality of the phrase comprises applying a first weight matrix to the phrase; and 
 reconstructing the phrase to provide an encoded phrase comprises applying a second weight matrix to the phrase. 
 
     
     
       6. The non-transitory computer-readable storage medium of  claim 4 , wherein reconstructing the phrase to provide an encoded phrase comprises minimizing a reconstruction error. 
     
     
       7. The non-transitory computer-readable storage medium of  claim 1 , wherein determining a value of each of the plurality of encoded phrases comprises:
 providing a spatial representation of the plurality of phrases; 
 clustering the spatial representation with another spatial representation to provide a cluster; and 
 determining the value of a word of each of the plurality of phrases based on the cluster. 
 
     
     
       8. The non-transitory computer-readable storage medium of  claim 7 , wherein the instructions further cause the electronic device to:
 determine whether the value of the word of each of the plurality of phrases satisfies a threshold. 
 
     
     
       9. The non-transitory computer-readable storage medium of  claim 1 , wherein clustering the spatial representation with another spatial representation to provide a cluster comprises:
 clustering with a hierarchical k-nearest-neighbor clustering algorithm. 
 
     
     
       10. The non-transitory computer-readable storage medium of  claim 1 , wherein clustering the spatial representation with another spatial representation to provide a cluster comprises:
 clustering with at least one of a k-means clustering algorithm or a hierarchical clustering algorithm. 
 
     
     
       11. The non-transitory computer-readable storage medium of  claim 1 , wherein the plurality of encoded phrases and the spatial representation are associated with a same vector space. 
     
     
       12. The non-transitory computer-readable storage medium of  claim 1 , wherein a first word of the plurality of words and a second word of the plurality of words have a same character sequence. 
     
     
       13. An electronic device, comprising:
 one or more processors; 
 a memory; and 
 one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for:
 receiving a plurality of words; 
 mapping each of the plurality of words to a word representation; 
 associating the mapped words to provide a plurality of phrases, each of the plurality of phrases having a representation of a first type; 
 encoding each of the plurality of phrases to provide a respective plurality of encoded phrases, each of the plurality of encoded phrases having a representation of a second type different than the first type; 
 determining a value of each of the plurality of encoded phrases; and 
 identifying one or more phrases of the plurality of encoded phrases having a value exceeding a threshold. 
 
 
     
     
       14. A method, comprising:
 at an electronic device with one or more processors and memory:
 receiving a plurality of words; 
 mapping each of the plurality of words to a word representation; 
 associating the mapped words to provide a plurality of phrases, each of the plurality of phrases having a representation of a first type; 
 encoding each of the plurality of phrases to provide a respective plurality of encoded phrases, each of the plurality of encoded phrases having a representation of a second type different than the first type; 
 determining a value of each of the plurality of encoded phrases; and 
 
 identifying one or more phrases of the plurality of encoded phrases having a value exceeding a threshold.

Description:
CROSS-REFERENCE TO RELATED APPLICATIONS 
     This application claims priority from U.S. Provisional Patent Application Ser. No. 62/148,604, entitled “PARSIMONIOUS CONTINUOUS-SPACE PHRASE REPRESENTATIONS FOR NATURAL LANGUAGE PROCESSING,” filed Apr. 16, 2015, the content of which is hereby incorporated by reference in its entirety. 
    
    
     BACKGROUND 
     1. Field 
     The present disclosure relates generally to speech recognition, and more specifically to techniques for providing continuous-space phrase representations. 
     2. Description of Related Art 
     Current speech recognition systems make use of word embeddings to perform various natural language processing tasks. Relatively elementary word embeddings typically rely on 1-of-N encoding, where each word in an underlying vocabulary of size N is represented by a respective vector of dimension N. On the other hand, more sophisticated word embeddings map words of an underlying vocabulary into vectors of a lower-dimensional space, allowing for each vector to include local and/or global context of the word corresponding to the vector. 
     Such word embeddings, however, are not without weaknesses. For example, embeddings relying on local context poorly utilize corpus statistical information, and embeddings relying on global context present challenges when used to parse particular semantic mechanisms, such as analogies. Moreover, in many cases homonymous and/or polysemous words must be disambiguated prior to embedding for proper operation. 
     BRIEF SUMMARY 
     Systems and processes for natural language processing are provided. In accordance with one example, a method includes, at a first electronic device with one or more processors and memory, receiving a plurality of words, mapping each of the plurality of words to a word representation, and associating the mapped words to provide a plurality of phrases. In some examples, each of the plurality of phrases has a representation of a first type. The method further includes encoding each of the plurality of phrases to provide a respective plurality of encoded phrases. In some examples, each of the plurality of encoded phrases has a representation of a second type different than the first type. The method further includes determining a value of each of the plurality of encoded phrases and identifying one or more phrases of the plurality of encoded phrases having a value exceeding a threshold. 
    
    
     
       BRIEF DESCRIPTION OF THE FIGURES 
       For a better understanding of the various described embodiments, reference should be made to the Description of Embodiments below, in conjunction with the following drawings in which like reference numerals refer to corresponding parts throughout the figures. 
         FIG. 1A  is a block diagram illustrating a portable multifunction device with a touch-sensitive display in accordance with some examples. 
         FIG. 1B  is a block diagram illustrating exemplary components for event handling in accordance with some embodiments. 
         FIG. 2  illustrates a portable multifunction device having a touch screen in accordance with some embodiments. 
         FIG. 3  is a block diagram of an exemplary multifunction device with a display and a touch-sensitive surface in accordance with some embodiments. 
         FIGS. 4A and 4B  illustrate an exemplary user interface for a menu of applications on a portable multifunction device in accordance with some embodiments. 
         FIG. 5  illustrates an exemplary schematic block diagram of a phrase embedding system in accordance with some embodiments. 
         FIG. 6  illustrates an exemplary network for embedding words in accordance with some embodiments. 
         FIG. 7  illustrates an exemplary encoder in accordance with some embodiments. 
         FIG. 8  illustrates a flow diagram of an exemplary process for embedding phrases in accordance with some embodiments. 
         FIG. 9  illustrates a functional block diagram of an electronic device in accordance with some embodiments. 
     
    
    
     DESCRIPTION OF EMBODIMENTS 
     In the following description of the disclosure and embodiments, reference is made to the accompanying drawings in which it is shown by way of illustration of specific embodiments that can be practiced. It is to be understood that other embodiments and examples can be practiced and changes can be made without departing from the scope of the disclosure. 
     Techniques for providing continuous-space phrase representations are desirable. As described herein, these techniques provide complex and discriminatory phrase embeddings that include sematic, syntactic and/or pragmatic information. Such embeddings are useful in a number of natural language processing applications including but not limited to information retrieval, document classification, questing answering and connectionist language modeling. 
     Although the following description uses terms first, second, etc. to describe various elements, these elements should not be limited by the terms. These terms are only used to distinguish one element from another. For example, a first contact could be termed a second contact, and, similarly, a second contact could be termed a first contact, without departing from the scope of the present invention. The first contact and the second contact are both contacts, but they are not the same contact. 
     The terminology used in the description of the various described embodiments herein is for the purpose of describing particular embodiments only and is not intended to be limiting. As used in the description of the various described embodiments and the appended claims, the singular forms “a”, “an,” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will also be understood that the term “and/or” as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items. It will be further understood that the terms “includes,” “including,” “comprises,” and/or “comprising,” when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. 
     The term “if” may be construed to mean “when” or “upon” or “in response to determining” or “in response to detecting,” depending on the context. Similarly, the phrase “if it is determined” or “if [a stated condition or event] is detected” may be construed to mean “upon determining” or “in response to determining” or “upon detecting [the stated condition or event]” or “in response to detecting [the stated condition or event],” depending on the context. 
     Embodiments of electronic devices, systems for providing embedded phrases on such devices, and associated processes for using such devices are described. In some embodiments, the device is a portable communications device, such as a mobile telephone, that also contains other functions, such as PDA and/or music player functions. Exemplary embodiments of portable multifunction devices include, without limitation, the iPhone®, iPod Touch®, and iPad® devices from Apple Inc. of Cupertino, Calif. Other portable devices, such as laptops or tablet computers with touch-sensitive surfaces (e.g., touch screen displays and/or touch pads), may also be used. Exemplary embodiments of laptop and tablet computers include, without limitation, the iPad® and MacBook® devices from Apple Inc. of Cupertino, Calif. It should also be understood that, in some embodiments, the device is not a portable communications device, but is a desktop computer. Exemplary embodiments of desktop computers include, without limitation, the Mac Pro® from Apple Inc. of Cupertino, Calif. 
     In the discussion that follows, an electronic device that includes a display and a touch-sensitive surface is described. It should be understood, however, that the electronic device optionally includes one or more other physical user-interface devices, such as button(s), a physical keyboard, a mouse, and/or a joystick. 
     The device may support a variety of applications, such as one or more of the following: a drawing application, a presentation application, a word processing application, a website creation application, a disk authoring application, a spreadsheet application, a gaming application, a telephone application, a video conferencing application, an e-mail application, an instant messaging application, a workout support application, a photo management application, a digital camera application, a digital video camera application, a web browsing application, a digital music player application, and/or a digital video player application. 
     The various applications that are executed on the device optionally use at least one common physical user-interface device, such as the touch-sensitive surface. One or more functions of the touch-sensitive surface as well as corresponding information displayed on the device are, optionally, adjusted and/or varied from one application to the next and/or within a respective application. In this way, a common physical architecture (such as the touch-sensitive surface) of the device optionally supports the variety of applications with user interfaces that are intuitive and transparent to the user. 
       FIGS. 1A and 1B  are block diagrams illustrating exemplary portable multifunction device  100  with touch-sensitive displays  112  in accordance with some embodiments. Touch-sensitive display  112  is sometimes called a “touch screen” for convenience. Device  100  may include memory  102 . Device  100  may include memory controller  122 , one or more processing units (CPU&#39;s)  120 , peripherals interface  118 , RF circuitry  108 , audio circuitry  110 , speaker  111 , microphone  113 , input/output (I/O) subsystem  106 , other input or control devices  116 , and external port  124 . Device  100  may include one or more optical sensors  164 . Bus/signal lines  103  may allow these components to communicate with one another. Device  100  is one example of an electronic device that could be used to perform the techniques described herein. Specific implementations involving device  100  may have more or fewer components than shown, may combine two or more components, or may have a different configuration or arrangement of the components. The various components shown in  FIGS. 1A and 1B  may be implemented in hardware, software, or a combination of both. The components also can be implemented using one or more signal processing and/or application specific integrated circuits. 
     Memory  102  may include one or more computer readable storage mediums. The computer readable storage mediums may be tangible and non-transitory. Memory  102  may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic disk storage devices, flash memory devices, or other non-volatile solid-state memory devices. Memory controller  122  may control access to memory  102  by other components of device  100 . 
     Peripherals interface  118  can be used to couple input and output peripherals of the device to CPU  120  and memory  102 . The one or more processors  120  run or execute various software programs and/or sets of instructions stored in memory  102  to perform various functions for device  100  and to process data. In some embodiments, peripherals interface  118 , CPU  120 , and memory controller  122  may be implemented on a single chip, such as chip  104 . In some other embodiments, they may be implemented on separate chips. 
     RF (radio frequency) circuitry  108  receives and sends RF signals, also called electromagnetic signals. RF circuitry  108  converts electrical signals to/from electromagnetic signals and communicates with communications networks and other communications devices via the electromagnetic signals. RF circuitry  108  may include well-known circuitry for performing these functions, including but not limited to an antenna system, an RF transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a CODEC chipset, a subscriber identity module (SIM) card, memory, and so forth. RF circuitry  108  may communicate with networks, such as the Internet, also referred to as the World Wide Web (WWW), an intranet and/or a wireless network, such as a cellular telephone network, a wireless local area network (LAN) and/or a metropolitan area network (MAN), and other devices by wireless communication. The wireless communication may use any of a plurality of communications standards, protocols and technologies, including but not limited to Global System for Mobile Communications (GSM), Enhanced Data GSM Environment (EDGE), high-speed downlink packet access (HSDPA), wideband code division multiple access (W-CDMA), code division multiple access (CDMA), time division multiple access (TDMA), Bluetooth, Bluetooth Low Energy (BTLE), Wireless Fidelity (Wi-Fi) (e.g., IEEE 502.11a, IEEE 502.11b, IEEE 802.11g and/or IEEE 802.11n), voice over Internet Protocol (VoIP), Wi-MAX, a protocol for e-mail (e.g., Internet message access protocol (IMAP) and/or post office protocol (POP)), instant messaging (e.g., extensible messaging and presence protocol (XMPP), Session Initiation Protocol for Instant Messaging and Presence Leveraging Extensions (SIMPLE), Instant Messaging and Presence Service (IMPS)), and/or Short Message Service (SMS), or any other suitable communication protocol, including communication protocols not yet developed as of the filing date of this document. 
     Audio circuitry  110 , speaker  111 , and microphone  113  provide an audio interface between a user and device  100 . Audio circuitry  110  receives audio data from peripherals interface  118 , converts the audio data to an electrical signal, and transmits the electrical signal to speaker  111 . Speaker  111  converts the electrical signal to human-audible sound waves. Audio circuitry  110  also receives electrical signals converted by microphone  113  from sound waves. Audio circuitry  110  converts the electrical signal to audio data and transmits the audio data to peripherals interface  118  for processing. Audio data may be retrieved from and/or transmitted to memory  102  and/or RF circuitry  108  by peripherals interface  118 . In some embodiments, audio circuitry  110  also includes a headset jack (e.g.,  212 ,  FIG. 2 ). The headset jack provides an interface between audio circuitry  110  and removable audio input/output peripherals, such as output-only headphones or a headset with both output (e.g., a headphone for one or both ears) and input (e.g., a microphone). 
     I/O subsystem  106  couples input/output peripherals on device  100 , such as touch screen  112  and other input control devices  116 , to peripherals interface  118 . I/O subsystem  106  may include display controller  156  and one or more input controllers  160  for other input or control devices. The one or more input controllers  160  receive/send electrical signals from/to other input or control devices  116 . The other input control devices  116  may include physical buttons (e.g., push buttons, rocker buttons, etc.), dials, slider switches, joysticks, click wheels, and so forth. In some alternate embodiments, input controller(s)  160  may be coupled to any (or none) of the following: a keyboard, infrared port, USB port, and a pointer device such as a mouse. The one or more buttons (e.g.,  208 ,  FIG. 2 ) may include an up/down button for volume control of speaker  111  and/or microphone  113 . The one or more buttons may include a push button (e.g.,  206 ,  FIG. 2 ). A quick press of the push button may disengage a lock of touch screen  112  or begin a process that uses gestures on the touch screen to unlock the device, as described in U.S. patent application Ser. No. 11/322,549, “Unlocking a Device by Performing Gestures on an Unlock Image,” filed Dec. 23, 2005, U.S. Pat. No. 7,657,849, which is hereby incorporated by reference in its entirety. A longer press of the push button (e.g.,  206 ) may turn power to device  100  on or off. The user may be able to customize a functionality of one or more of the buttons. Touch screen  112  is used to implement virtual or soft buttons and one or more soft keyboards. 
     Touch-sensitive display  112  provides an input interface and an output interface between the device and a user. Display controller  156  receives and/or sends electrical signals from/to touch screen  112 . Touch screen  112  displays visual output to the user. The visual output may include graphics, text, icons, video, and any combination thereof (collectively termed “graphics”). In some embodiments, some or all of the visual output may correspond to user-interface objects. 
     Touch screen  112  has a touch-sensitive surface, sensor or set of sensors that accepts input from the user based on haptic and/or tactile contact. Touch screen  112  and display controller  156  (along with any associated modules and/or sets of instructions in memory  102 ) detect contact (and any movement or breaking of the contact) on touch screen  112  and converts the detected contact into interaction with user-interface objects (e.g., one or more soft keys, icons, web-pages or images) that are displayed on touch screen  112 . In an exemplary embodiment, a point of contact between touch screen  112  and the user corresponds to a finger of the user. 
     Touch screen  112  may use LCD (liquid crystal display) technology, LPD (light emitting polymer display) technology, or LED (light emitting diode) technology, although other display technologies may be used in other embodiments. Touch screen  112  and display controller  156  may detect contact and any movement or breaking thereof using any of a plurality of touch sensing technologies now known or later developed, including but not limited to capacitive, resistive, infrared, and surface acoustic wave technologies, as well as other proximity sensor arrays or other elements for determining one or more points of contact with touch screen  112 . In an exemplary embodiment, projected mutual capacitance sensing technology is used, such as that found in the iPhone® and iPod Touch® from Apple Inc. of Cupertino, Calif. 
     A touch-sensitive display in some embodiments of touch screen  112  may be analogous to the multi-touch sensitive touchpads described in the following U.S. Pat. No. 6,323,846 (Westerman et al.), U.S. Pat. No. 6,570,557 (Westerman et al.), and/or U.S. Pat. No. 6,677,932 (Westerman), and/or U.S. Patent Publication 2002/0015024A1, each of which is hereby incorporated by reference in its entirety. However, touch screen  112  displays visual output from device  100 , whereas touch sensitive touchpads do not provide visual output. 
     A touch-sensitive display in some embodiments of touch screen  112  may be as described in the following applications: (1) U.S. patent application Ser. No. 11/381,313, “Multipoint Touch Surface Controller,” filed May 2, 2006; (2) U.S. patent application Ser. No. 10/840,862, “Multipoint Touchscreen,” filed May 6, 2004; (3) U.S. patent application Ser. No. 10/903,964, “Gestures For Touch Sensitive Input Devices,” filed Jul. 30, 2004; (4) U.S. patent application Ser. No. 11/048,264, “Gestures For Touch Sensitive Input Devices,” filed Jan. 31, 2005; (5) U.S. patent application Ser. No. 11/038,590, “Mode-Based Graphical User Interfaces For Touch Sensitive Input Devices,” filed Jan. 18, 2005; (6) U.S. patent application Ser. No. 11/228,758, “Virtual Input Device Placement On A Touch Screen User Interface,” filed Sep. 16, 2005; (7) U.S. patent application Ser. No. 11/228,700, “Operation Of A Computer With A Touch Screen Interface,” filed Sep. 16, 2005; (8) U.S. patent application Ser. No. 11/228,737, “Activating Virtual Keys Of A Touch-Screen Virtual Keyboard,” filed Sep. 16, 2005; and (9) U.S. patent application Ser. No. 11/367,749, “Multi-Functional Hand-Held Device,” filed Mar. 3, 2006. All of these applications are incorporated by reference herein in their entirety. 
     Touch screen  112  may have a video resolution in excess of 100 dpi. In some embodiments, the touch screen has a video resolution of approximately 160 dpi. The user may make contact with touch screen  112  using any suitable object or appendage, such as a stylus, a finger, and so forth. In some embodiments, the user interface is designed to work primarily with finger-based contacts and gestures, which can be less precise than stylus-based input due to the larger area of contact of a finger on the touch screen. In some embodiments, the device translates the rough finger-based input into a precise pointer/cursor position or command for performing the actions desired by the user. 
     In some embodiments, in addition to the touch screen, device  100  may include a touchpad (not shown) for activating or deactivating particular functions. In some embodiments, the touchpad is a touch-sensitive area of the device that, unlike the touch screen, does not display visual output. The touchpad may be a touch-sensitive surface that is separate from touch screen  112  or an extension of the touch-sensitive surface formed by the touch screen. 
     Device  100  also includes power system  162  for powering the various components. Power system  162  may include a power management system, one or more power sources (e.g., battery, alternating current (AC)), a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator (e.g., a light-emitting diode (LED)) and any other components associated with the generation, management and distribution of power in portable devices. 
     Device  100  may also include one or more optical sensors  164 .  FIGS. 1A and 1B  show an optical sensor coupled to optical sensor controller  158  in I/O subsystem  106 . Optical sensor  164  may include charge-coupled device (CCD) or complementary metal-oxide semiconductor (CMOS) phototransistors. Optical sensor  164  receives light from the environment, projected through one or more lens, and converts the light to data representing an image. In conjunction with imaging module  143  (also called a camera module), optical sensor  164  may capture still images or video. In some embodiments, an optical sensor is located on the back of device  100 , opposite touch screen display  112  on the front of the device, so that the touch screen display may be used as a viewfinder for still and/or video image acquisition. In some embodiments, an optical sensor is located on the front of the device so that the user&#39;s image may be obtained for videoconferencing while the user views the other video conference participants on the touch screen display. In some embodiments, the position of optical sensor  164  can be changed by the user (e.g., by rotating the lens and the sensor in the device housing) so that a single optical sensor  164  may be used along with the touch screen display for both video conferencing and still and/or video image acquisition. 
     Device  100  may also include one or more proximity sensors  166 .  FIGS. 1A and 1B  show proximity sensor  166  coupled to peripherals interface  118 . Alternately, proximity sensor  166  may be coupled to input controller  160  in I/O subsystem  106 . Proximity sensor  166  may perform as described in U.S. patent application Ser. No. 11/241,839, “Proximity Detector In Handheld Device”; Ser. No. 11/240,788, “Proximity Detector In Handheld Device”; Ser. No. 11/620,702, “Using Ambient Light Sensor To Augment Proximity Sensor Output”; Ser. No. 11/586,862, “Automated Response To And Sensing Of User Activity In Portable Devices”; and Ser. No. 11/638,251, “Methods And Systems For Automatic Configuration Of Peripherals,” which are hereby incorporated by reference in their entirety. In some embodiments, the proximity sensor turns off and disables touch screen  112  when the multifunction device is placed near the user&#39;s ear (e.g., when the user is making a phone call). 
     Device  100  optionally also includes one or more tactile output generators  167 .  FIG. 1A  shows a tactile output generator coupled to haptic feedback controller  161  in I/O subsystem  106 . Tactile output generator  167  optionally includes one or more electroacoustic devices such as speakers or other audio components and/or electromechanical devices that convert energy into linear motion such as a motor, solenoid, electroactive polymer, piezoelectric actuator, electrostatic actuator, or other tactile output generating component (e.g., a component that converts electrical signals into tactile outputs on the device). Contact intensity sensor  165  receives tactile feedback generation instructions from haptic feedback module  133  and generates tactile outputs on device  100  that are capable of being sensed by a user of device  100 . In some embodiments, at least one tactile output generator is collocated with, or proximate to, a touch-sensitive surface (e.g., touch-sensitive display system  112 ) and, optionally, generates a tactile output by moving the touch-sensitive surface vertically (e.g., in/out of a surface of device  100 ) or laterally (e.g., back and forth in the same plane as a surface of device  100 ). In some embodiments, at least one tactile output generator sensor is located on the back of device  100 , opposite touch screen display  112 , which is located on the front of device  100 . 
     Device  100  may also include one or more accelerometers  168 .  FIGS. 1A and 1B  show accelerometer  168  coupled to peripherals interface  118 . Alternately, accelerometer  168  may be coupled to an input controller  160  in I/O subsystem  106 . Accelerometer  168  may perform as described in U.S. Patent Publication No. 20050190059, “Acceleration-based Theft Detection System for Portable Electronic Devices,” and U.S. Patent Publication No. 20060017692, “Methods And Apparatuses For Operating A Portable Device Based On An Accelerometer,” both of which are which are incorporated by reference herein in their entirety. In some embodiments, information is displayed on the touch screen display in a portrait view or a landscape view based on an analysis of data received from the one or more accelerometers. Device  100  optionally includes, in addition to accelerometer(s)  168 , a magnetometer (not shown) and a GPS (or GLONASS or other global navigation system) receiver (not shown) for obtaining information concerning the location and orientation (e.g., portrait or landscape) of device  100 . 
     In some embodiments, the software components stored in memory  102  include operating system  126 , communication module (or set of instructions)  128 , contact/motion module (or set of instructions)  130 , graphics module (or set of instructions)  132 , text input module (or set of instructions)  134 , Global Positioning System (GPS) module (or set of instructions)  135 , and applications (or sets of instructions)  136 . Furthermore, in some embodiments memory  102  stores device/global internal state  157 , as shown in  FIGS. 1A, 1B and 3 . Device/global internal state  157  includes one or more of: active application state, indicating which applications, if any, are currently active; display state, indicating what applications, views or other information occupy various regions of touch screen display  112 ; sensor state, including information obtained from the device&#39;s various sensors and input control devices  116 ; and location information concerning the device&#39;s location and/or attitude. 
     Operating system  126  (e.g., Darwin, RTXC, LINUX, UNIX, OS X, iOS, WINDOWS, or an embedded operating system such as VxWorks) includes various software components and/or drivers for controlling and managing general system tasks (e.g., memory management, storage device control, power management, etc.) and facilitates communication between various hardware and software components. 
     Communication module  128  facilitates communication with other devices over one or more external ports  124  and also includes various software components for handling data received by RF circuitry  108  and/or external port  124 . External port  124  (e.g., Universal Serial Bus (USB), FIREWIRE, etc.) is adapted for coupling directly to other devices or indirectly over a network (e.g., the Internet, wireless LAN, etc.). In some embodiments, the external port is a multi-pin connector that is the same as, or similar to and/or compatible with the 5-pin and/or 30-pin connectors used on devices made by Apple Inc. 
     Contact/motion module  130  may detect contact with touch screen  112  (in conjunction with display controller  156 ) and other touch sensitive devices (e.g., a touchpad or physical click wheel). Contact/motion module  130  includes various software components for performing various operations related to detection of contact, such as determining if contact has occurred (e.g., detecting a finger-down event), determining if there is movement of the contact and tracking the movement across the touch-sensitive surface (e.g., detecting one or more finger-dragging events), and determining if the contact has ceased (e.g., detecting a finger-up event or a break in contact). Contact/motion module  130  receives contact data from the touch-sensitive surface. Determining movement of the point of contact, which is represented by a series of contact data, may include determining speed (magnitude), velocity (magnitude and direction), and/or an acceleration (a change in magnitude and/or direction) of the point of contact. These operations may be applied to single contacts (e.g., one finger contacts) or to multiple simultaneous contacts (e.g., “multitouch”/multiple finger contacts). In some embodiments, contact/motion module  130  and display controller  156  detects contact on a touchpad. In some embodiments, contact/motion module  130  and controller  160  detects contact on a click wheel. 
     Contact/motion module  130  may detect a gesture input by a user. Different gestures on the touch-sensitive surface have different contact patterns. Thus, a gesture may be detected by detecting a particular contact pattern. For example, detecting a finger tap gesture includes detecting a finger-down event followed by detecting a finger-up (lift off) event at the same position (or substantially the same position) as the finger-down event (e.g., at the position of an icon). As another example, detecting a finger swipe gesture on the touch-sensitive surface includes detecting a finger-down event followed by detecting one or more finger-dragging events, and subsequently followed by detecting a finger-up (lift off) event. 
     Graphics module  132  includes various known software components for rendering and displaying graphics on touch screen  112  or other display, including components for changing the intensity of graphics that are displayed. As used herein, the term “graphics” includes any object that can be displayed to a user, including without limitation text, web-pages, icons (such as user-interface objects including soft keys), digital images, videos, animations and the like. In some embodiments, graphics module  132  stores data representing graphics to be used. Each graphic may be assigned a corresponding code. Graphics module  132  receives, from applications etc., one or more codes specifying graphics to be displayed along with, if necessary, coordinate data and other graphic property data, and then generates screen image data to output to display controller  156 . 
     Haptic feedback module  133  includes various software components for generating instructions used by tactile output generator(s)  167  to produce tactile outputs at one or more locations on device  100  in response to user interactions with device  100 . 
     Text input module  134 , which may be a component of graphics module  132 , provides soft keyboards for entering text in various applications (e.g., contacts  137 , e-mail  140 , IM  141 , browser  147 , and any other application that needs text input). 
     GPS module  135  determines the location of the device and provides this information for use in various applications (e.g., to telephone  138  for use in location-based dialing, to camera  143  as picture/video metadata, and to applications that provide location-based services such as weather widgets, local yellow page widgets, and map/navigation widgets). 
     Applications  136  may include the following modules (or sets of instructions), or a subset or superset thereof:
         Contacts module  137  (sometimes called an address book or contact list);   Telephone module  138 ;   Video conferencing module  139 ;   E-mail client module  140 ;   Instant messaging (IM) module  141 ;   Workout support module  142 ;   Camera module  143  for still and/or video images;   Image management module  144 ;   Video player module;   Music player module;   Browser module  147 ;   Calendar module  148 ;   Widget modules  149 , which may include one or more of: weather widget  149 - 1 , stocks widget  149 - 2 , calculator widget  149 - 3 , alarm clock widget  149 - 4 , dictionary widget  149 - 5 , and other widgets obtained by the user, as well as user-created widgets  149 - 6 ;   Widget creator module  150  for making user-created widgets  149 - 6 ;   Search module  151 ;   Video and music player module  152 , which merges video player module and music player module;   Notes module  153 ;   Map module  154 ; and/or   Online video module  155 .       

     Examples of other applications  136  that may be stored in memory  102  include other word processing applications, other image editing applications, drawing applications, presentation applications, JAVA-enabled applications, encryption, digital rights management, voice recognition, and voice replication. 
     In conjunction with touch screen  112 , display controller  156 , contact/motion module  130 , graphics module  132 , and text input module  134 , contacts module  137  may be used to manage an address book or contact list (e.g., stored in application internal state  192  of contacts module  137  in memory  102  or memory  370 ), including: adding name(s) to the address book; deleting name(s) from the address book; associating telephone number(s), e-mail address(es), physical address(es) or other information with a name; associating an image with a name; categorizing and sorting names; providing telephone numbers or e-mail addresses to initiate and/or facilitate communications by telephone  138 , video conference module  139 , e-mail  140 , or IM  141 ; and so forth. 
     In conjunction with RF circuitry  108 , audio circuitry  110 , speaker  111 , microphone  113 , touch screen  112 , display controller  156 , contact/motion module  130 , graphics module  132 , and text input module  134 , telephone module  138  may be used to enter a sequence of characters corresponding to a telephone number, access one or more telephone numbers in address book  137 , modify a telephone number that has been entered, dial a respective telephone number, conduct a conversation and disconnect or hang up when the conversation is completed. As noted above, the wireless communication may use any of a plurality of communications standards, protocols and technologies. 
     In conjunction with RF circuitry  108 , audio circuitry  110 , speaker  111 , microphone  113 , touch screen  112 , display controller  156 , optical sensor  164 , optical sensor controller  158 , contact module  130 , graphics module  132 , text input module  134 , contacts module  137 , and telephone module  138 , video conference module  139  includes executable instructions to initiate, conduct, and terminate a video conference between a user and one or more other participants in accordance with user instructions. 
     In conjunction with RF circuitry  108 , touch screen  112 , display controller  156 , contact/motion module  130 , graphics module  132 , and text input module  134 , e-mail client module  140  includes executable instructions to create, send, receive, and manage e-mail in response to user instructions. In conjunction with image management module  144 , e-mail client module  140  makes it very easy to create and send e-mails with still or video images taken with camera module  143 . 
     In conjunction with RF circuitry  108 , touch screen  112 , display controller  156 , contact module  130 , graphics module  132 , and text input module  134 , the instant messaging module  141  includes executable instructions to enter a sequence of characters corresponding to an instant message, to modify previously entered characters, to transmit a respective instant message (for example, using a Short Message Service (SMS) or Multimedia Message Service (MMS) protocol for telephony-based instant messages or using XMPP, SIMPLE, or IMPS for Internet-based instant messages), to receive instant messages and to view received instant messages. In some embodiments, transmitted and/or received instant messages may include graphics, photos, audio files, video files and/or other attachments as are supported in a MMS and/or an Enhanced Messaging Service (EMS). As used herein, “instant messaging” refers to both telephony-based messages (e.g., messages sent using SMS or MMS) and Internet-based messages (e.g., messages sent using XMPP, SIMPLE, or IMPS). 
     In conjunction with RF circuitry  108 , touch screen  112 , display controller  156 , contact module  130 , graphics module  132 , text input module  134 , GPS module  135 , map module  154 , and music player module, workout support module  142  includes executable instructions to create workouts (e.g., with time, distance, and/or calorie burning goals); communicate with workout sensors (sports devices); receive workout sensor data; calibrate sensors used to monitor a workout; select and play music for a workout; and display, store and transmit workout data. 
     In conjunction with touch screen  112 , display controller  156 , optical sensor(s)  164 , optical sensor controller  158 , contact/motion module  130 , graphics module  132 , and image management module  144 , camera module  143  includes executable instructions to capture still images or video (including a video stream) and store them into memory  102 , modify characteristics of a still image or video, or delete a still image or video from memory  102 . 
     In conjunction with touch screen  112 , display controller  156 , contact/motion module  130 , graphics module  132 , text input module  134 , and camera module  143 , image management module  144  includes executable instructions to arrange, modify (e.g., edit), or otherwise manipulate, label, delete, present (e.g., in a digital slide show or album), and store still and/or video images. 
     In conjunction with touch screen  112 , display controller  156 , contact/motion module  130 , graphics module  132 , audio circuitry  110 , and speaker  111 , video player module  145  includes executable instructions to display, present or otherwise play back videos (e.g., on touch screen  112  or on an external, connected display via external port  124 ). 
     In conjunction with touch screen  112 , display system controller  156 , contact module  130 , graphics module  132 , audio circuitry  110 , speaker  111 , RF circuitry  108 , and browser module  147 , music player module  146  includes executable instructions that allow the user to download and play back recorded music and other sound files stored in one or more file formats, such as MP3 or AAC files. In some embodiments, device  100  may include the functionality of an MP3 player, such as an iPod (trademark of Apple Inc.). 
     In conjunction with RF circuitry  108 , touch screen  112 , display controller  156 , contact/motion module  130 , graphics module  132 , and text input module  134 , browser module  147  includes executable instructions to browse the Internet in accordance with user instructions, including searching, linking to, receiving, and displaying web-pages or portions thereof, as well as attachments and other files linked to web-pages. 
     In conjunction with RF circuitry  108 , touch screen  112 , display controller  156 , contact/motion module  130 , graphics module  132 , text input module  134 , e-mail client module  140 , and browser module  147 , calendar module  148  includes executable instructions to create, display, modify, and store calendars and data associated with calendars (e.g., calendar entries, to do lists, etc.) in accordance with user instructions. 
     In conjunction with RF circuitry  108 , touch screen  112 , display controller  156 , contact/motion module  130 , graphics module  132 , text input module  134 , and browser module  147 , widget modules  149  are mini-applications that may be downloaded and used by a user (e.g., weather widget  149 - 1 , stocks widget  149 - 2 , calculator widget  149 - 3 , alarm clock widget  149 - 4 , and dictionary widget  149 - 5 ) or created by the user (e.g., user-created widget  149 - 6 ). In some embodiments, a widget includes an HTML (Hypertext Markup Language) file, a CSS (Cascading Style Sheets) file, and a JavaScript file. In some embodiments, a widget includes an XML (Extensible Markup Language) file and a JavaScript file (e.g., Yahoo! Widgets). 
     In conjunction with RF circuitry  108 , touch screen  112 , display controller  156 , contact/motion module  130 , graphics module  132 , text input module  134 , and browser module  147 , the widget creator module  150  may be used by a user to create widgets (e.g., turning a user-specified portion of a web-page into a widget). 
     In conjunction with touch screen  112 , display controller  156 , contact/motion module  130 , graphics module  132 , and text input module  134 , search module  151  includes executable instructions to search for text, music, sound, image, video, and/or other files in memory  102  that match one or more search criteria (e.g., one or more user-specified search terms) in accordance with user instructions. 
     In conjunction with touch screen  112 , display controller  156 , contact/motion module  130 , graphics module  132 , audio circuitry  110 , speaker  111 , RF circuitry  108 , and browser module  147 , video and music player module  152  includes executable instructions that allow the user to download and play back recorded music and other sound files stored in one or more file formats, such as MP3 or AAC files, and executable instructions to display, present, or otherwise play back videos (e.g., on touch screen  112  or on an external, connected display via external port  124 ). In some embodiments, device  100  optionally includes the functionality of an MP3 player, such as an iPod (trademark of Apple Inc.). 
     In conjunction with touch screen  112 , display controller  156 , contact/motion module  130 , graphics module  132 , and text input module  134 , notes module  153  includes executable instructions to create and manage notes, to-do lists, and the like in accordance with user instructions. 
     In conjunction with RF circuitry  108 , touch screen  112 , display controller  156 , contact/motion module  130 , graphics module  132 , text input module  134 , GPS module  135 , and browser module  147 , map module  154  may be used to receive, display, modify, and store maps and data associated with maps (e.g., driving directions; data on stores and other points of interest at or near a particular location; and other location-based data) in accordance with user instructions. 
     In conjunction with touch screen  112 , display controller  156 , contact/motion module  130 , graphics module  132 , audio circuitry  110 , speaker  111 , RF circuitry  108 , text input module  134 , e-mail client module  140 , and browser module  147 , online video module  155  includes instructions that allow the user to access, browse, receive (e.g., by streaming and/or download), play back (e.g., on the touch screen or on an external, connected display via external port  124 ), send an e-mail with a link to a particular online video, and otherwise manage online videos in one or more file formats, such as H.264. In some embodiments, instant messaging module  141 , rather than e-mail client module  140 , is used to send a link to a particular online video. Additional description of the online video application can be found in U.S. Provisional Patent Application No. 60/936,562, “Portable Multifunction Device, Method, and Graphical User Interface for Playing Online Videos,” filed Jun. 20, 2007, and U.S. patent application Ser. No. 11/968,067, “Portable Multifunction Device, Method, and Graphical User Interface for Playing Online Videos,” filed Dec. 31, 2007, the contents of which are hereby incorporated by reference in their entirety. 
     Each of the above identified modules and applications corresponds to a set of executable instructions for performing one or more functions described above and the methods described in this application (e.g., the computer-implemented methods and other information processing methods described herein). These modules (e.g., sets of instructions) need not be implemented as separate software programs, procedures or modules, and thus various subsets of these modules may be combined or otherwise rearranged in various embodiments. For example, video player module may be combined with music player module into a single module (e.g., video and music player module  152 ,  FIG. 1B ). In some embodiments, memory  102  may store a subset of the modules and data structures identified above. Furthermore, memory  102  may store additional modules and data structures not described above. 
     In some embodiments, device  100  is a device where operation of a predefined set of functions on the device is performed exclusively through a touch screen and/or a touchpad. By using a touch screen and/or a touchpad as the primary input control device for operation of device  100 , the number of physical input control devices (such as push buttons, dials, and the like) on device  100  may be reduced. 
     The predefined set of functions that may be performed exclusively through a touch screen and/or a touchpad include navigation between user interfaces. In some embodiments, the touchpad, when touched by the user, navigates device  100  to a main, home, or root menu from any user interface that may be displayed on device  100 . In such embodiments, a “menu button” is implemented using a touchpad. In some other embodiments, the menu button is a physical push button or other physical input control device instead of a touchpad. 
       FIG. 1B  is a block diagram illustrating exemplary components for event handling in accordance with some embodiments. In some embodiments, memory  102  (in  FIG. 1A ) or  370  ( FIG. 3 ) includes event sorter  170  (e.g., in operating system  126 ) and a respective application  136 - 1  (e.g., any of the aforementioned applications  137 - 151 ,  155 ,  380 - 390 ). 
     Event sorter  170  receives event information and determines the application  136 - 1  and application view  191  of application  136 - 1  to which to deliver the event information. Event sorter  170  includes event monitor  171  and event dispatcher module  174 . In some embodiments, application  136 - 1  includes application internal state  192 , which indicates the current application view(s) displayed on touch sensitive display  112  when the application is active or executing. In some embodiments, device/global internal state  157  is used by event sorter  170  to determine which application(s) is(are) currently active, and application internal state  192  is used by event sorter  170  to determine application views  191  to which to deliver event information. 
     In some embodiments, application internal state  192  includes additional information, such as one or more of: resume information to be used when application  136 - 1  resumes execution, user interface state information that indicates information being displayed or that is ready for display by application  136 - 1 , a state queue for enabling the user to go back to a prior state or view of application  136 - 1 , and a redo/undo queue of previous actions taken by the user. 
     Event monitor  171  receives event information from peripherals interface  118 . Event information includes information about a sub-event (e.g., a user touch on touch-sensitive display  112 , as part of a multi-touch gesture). Peripherals interface  118  transmits information it receives from I/O subsystem  106  or a sensor, such as proximity sensor  166 , accelerometer(s)  168 , and/or microphone  113  (through audio circuitry  110 ). Information that peripherals interface  118  receives from I/O subsystem  106  includes information from touch-sensitive display  112  or a touch-sensitive surface. 
     In some embodiments, event monitor  171  sends requests to the peripherals interface  118  at predetermined intervals. In response, peripherals interface  118  transmits event information. In other embodiments, peripherals interface  118  transmits event information only when there is a significant event (e.g., receiving an input above a predetermined noise threshold and/or for more than a predetermined duration). In some embodiments, event sorter  170  also includes a hit view determination module  172  and/or an active event recognizer determination module  173 . 
     Hit view determination module  172  provides software procedures for determining where a sub-event has taken place within one or more views, when touch sensitive display  112  displays more than one view. Views are made up of controls and other elements that a user can see on the display. 
     Another aspect of the user interface associated with an application is a set of views, sometimes herein called application views or user interface windows, in which information is displayed and touch-based gestures occur. The application views (of a respective application) in which a touch is detected may correspond to programmatic levels within a programmatic or view hierarchy of the application. For example, the lowest level view in which a touch is detected may be called the hit view, and the set of events that are recognized as proper inputs may be determined based, at least in part, on the hit view of the initial touch that begins a touch-based gesture. 
     Hit view determination module  172  receives information related to sub-events of a touch-based gesture. When an application has multiple views organized in a hierarchy, hit view determination module  172  identifies a hit view as the lowest view in the hierarchy which should handle the sub-event. In most circumstances, the hit view is the lowest level view in which an initiating sub-event occurs (e.g., the first sub-event in the sequence of sub-events that form an event or potential event). Once the hit view is identified by the hit view determination module  172 , the hit view typically receives all sub-events related to the same touch or input source for which it was identified as the hit view. 
     Active event recognizer determination module  173  determines which view or views within a view hierarchy should receive a particular sequence of sub-events. In some embodiments, active event recognizer determination module  173  determines that only the hit view should receive a particular sequence of sub-events. In other embodiments, active event recognizer determination module  173  determines that all views that include the physical location of a sub-event are actively involved views, and therefore determines that all actively involved views should receive a particular sequence of sub-events. In other embodiments, even if touch sub-events were entirely confined to the area associated with one particular view, views higher in the hierarchy would still remain as actively involved views. 
     Event dispatcher module  174  dispatches the event information to an event recognizer (e.g., event recognizer  180 ). In embodiments including active event recognizer determination module  173 , event dispatcher module  174  delivers the event information to an event recognizer determined by active event recognizer determination module  173 . In some embodiments, event dispatcher module  174  stores in an event queue the event information, which is retrieved by a respective event receiver  182 . 
     In some embodiments, operating system  126  includes event sorter  170 . Alternatively, application  136 - 1  includes event sorter  170 . In yet other embodiments, event sorter  170  is a stand-alone module, or a part of another module stored in memory  102 , such as contact/motion module  130 . 
     In some embodiments, application  136 - 1  includes a plurality of event handlers  190  and one or more application views  191 , each of which includes instructions for handling touch events that occur within a respective view of the application&#39;s user interface. Each application view  191  of the application  136 - 1  includes one or more event recognizers  180 . Typically, a respective application view  191  includes a plurality of event recognizers  180 . In other embodiments, one or more of event recognizers  180  are part of a separate module, such as a user interface kit (not shown) or a higher level object from which application  136 - 1  inherits methods and other properties. In some embodiments, a respective event handler  190  includes one or more of: data updater  176 , object updater  177 , GUI updater  178 , and/or event data  179  received from event sorter  170 . Event handler  190  may utilize or call data updater  176 , object updater  177 , or GUI updater  178  to update the application internal state  192 . Alternatively, one or more of the application views  191  include one or more respective event handlers  190 . Also, in some embodiments, one or more of data updater  176 , object updater  177 , and GUI updater  178  are included in a respective application view  191 . 
     A respective event recognizer  180  receives event information (e.g., event data  179 ) from event sorter  170  and identifies an event from the event information. Event recognizer  180  includes event receiver  182  and event comparator  184 . In some embodiments, event recognizer  180  also includes at least a subset of: metadata  183 , and event delivery instructions  188  (which may include sub-event delivery instructions). 
     Event receiver  182  receives event information from event sorter  170 . The event information includes information about a sub-event, for example, a touch or a touch movement. Depending on the sub-event, the event information also includes additional information, such as location of the sub-event. When the sub-event concerns motion of a touch the event information may also include speed and direction of the sub-event. In some embodiments, events include rotation of the device from one orientation to another (e.g., from a portrait orientation to a landscape orientation, or vice versa), and the event information includes corresponding information about the current orientation (also called device attitude) of the device. 
     Event comparator  184  compares the event information to predefined event or sub-event definitions and, based on the comparison, determines an event or sub-event, or determines or updates the state of an event or sub-event. In some embodiments, event comparator  184  includes event definitions  186 . Event definitions  186  contain definitions of events (e.g., predefined sequences of sub-events), for example, event  1  ( 187 - 1 ), event  2  ( 187 - 2 ), and others. In some embodiments, sub-events in an event ( 187 ) include, for example, touch begin, touch end, touch movement, touch cancellation, and multiple touching. In one example, the definition for event  1  ( 187 - 1 ) is a double tap on a displayed object. The double tap, for example, comprises a first touch (touch begin) on the displayed object for a predetermined phase, a first liftoff (touch end) for a predetermined phase, a second touch (touch begin) on the displayed object for a predetermined phase, and a second liftoff (touch end) for a predetermined phase. In another example, the definition for event  2  ( 187 - 2 ) is a dragging on a displayed object. The dragging, for example, comprises a touch (or contact) on the displayed object for a predetermined phase, a movement of the touch across touch-sensitive display  112 , and liftoff of the touch (touch end). In some embodiments, the event also includes information for one or more associated event handlers  190 . 
     In some embodiments, event definitions  187  include a definition of an event for a respective user-interface object. In some embodiments, event comparator  184  performs a hit test to determine which user-interface object is associated with a sub-event. For example, in an application view in which three user-interface objects are displayed on touch-sensitive display  112 , when a touch is detected on touch-sensitive display  112 , event comparator  184  performs a hit test to determine which of the three user-interface objects is associated with the touch (sub-event). If each displayed object is associated with a respective event handler  190 , the event comparator uses the result of the hit test to determine which event handler  190  should be activated. For example, event comparator  184  selects an event handler associated with the sub-event and the object triggering the hit test. 
     In some embodiments, the definition for a respective event ( 187 ) also includes delayed actions that delay delivery of the event information until after it has been determined whether the sequence of sub-events does or does not correspond to the event recognizer&#39;s event type. 
     When a respective event recognizer  180  determines that the series of sub-events do not match any of the events in event definitions  186 , the respective event recognizer  180  enters an event impossible, event failed, or event ended state, after which it disregards subsequent sub-events of the touch-based gesture. In this situation, other event recognizers, if any, that remain active for the hit view continue to track and process sub-events of an ongoing touch-based gesture. 
     In some embodiments, a respective event recognizer  180  includes metadata  183  with configurable properties, flags, and/or lists that indicate how the event delivery system should perform sub-event delivery to actively involved event recognizers. In some embodiments, metadata  183  includes configurable properties, flags, and/or lists that indicate how event recognizers may interact, or are enabled to interact, with one another. In some embodiments, metadata  183  includes configurable properties, flags, and/or lists that indicate whether sub-events are delivered to varying levels in the view or programmatic hierarchy. 
     In some embodiments, a respective event recognizer  180  activates event handler  190  associated with an event when one or more particular sub-events of an event are recognized. In some embodiments, a respective event recognizer  180  delivers event information associated with the event to event handler  190 . Activating an event handler  190  is distinct from sending (and deferred sending) sub-events to a respective hit view. In some embodiments, event recognizer  180  throws a flag associated with the recognized event, and event handler  190  associated with the flag catches the flag and performs a predefined process. 
     In some embodiments, event delivery instructions  188  include sub-event delivery instructions that deliver event information about a sub-event without activating an event handler. Instead, the sub-event delivery instructions deliver event information to event handlers associated with the series of sub-events or to actively involved views. Event handlers associated with the series of sub-events or with actively involved views receive the event information and perform a predetermined process. 
     In some embodiments, data updater  176  creates and updates data used in application  136 - 1 . For example, data updater  176  updates the telephone number used in contacts module  137 , or stores a video file used in video player module. In some embodiments, object updater  177  creates and updates objects used in application  136 - 1 . For example, object updater  177  creates a new user-interface object or updates the position of a user-interface object. GUI updater  178  updates the GUI. For example, GUI updater  178  prepares display information and sends it to graphics module  132  for display on a touch-sensitive display. 
     In some embodiments, event handler(s)  190  includes or has access to data updater  176 , object updater  177 , and GUI updater  178 . In some embodiments, data updater  176 , object updater  177 , and GUI updater  178  are included in a single module of a respective application  136 - 1  or application view  191 . In other embodiments, they are included in two or more software modules. 
     It shall be understood that the foregoing discussion regarding event handling of user touches on touch-sensitive displays also applies to other forms of user inputs to operate multifunction devices  100  with input devices, not all of which are initiated on touch screens. For example, mouse movement and mouse button presses, optionally coordinated with single or multiple keyboard presses or holds; contact movements such as taps, drags, scrolls, etc. on touchpads; pen stylus inputs; movement of the device; oral instructions; detected eye movements; biometric inputs; and/or any combination thereof are optionally utilized as inputs corresponding to sub-events which define an event to be recognized. 
       FIG. 2  illustrates a portable multifunction device  100  having a touch screen  112  in accordance with some embodiments. The touch screen may display one or more graphics within user interface (UI)  200 . In this embodiment, as well as others described below, a user may select one or more of the graphics by making contact or touching the graphics, for example, with one or more fingers  202  (not drawn to scale in the figure) or one or more styluses  203  (not drawn to scale in the figure). In some embodiments, selection of one or more graphics occurs when the user breaks contact with the one or more graphics. In some embodiments, the contact may include a gesture, such as one or more taps, one or more swipes (from left to right, right to left, upward and/or downward) and/or a rolling of a finger (from right to left, left to right, upward and/or downward) that has made contact with device  100 . In some embodiments, inadvertent contact with a graphic may not select the graphic. For example, a swipe gesture that sweeps over an application icon may not select the corresponding application when the gesture corresponding to selection is a tap. 
     Device  100  may also include one or more physical buttons, such as “home” or menu button  204 . As described previously, menu button  204  may be used to navigate to any application  136  in a set of applications that may be executed on device  100 . Alternatively, in some embodiments, the menu button is implemented as a soft key in a GUI displayed on touch screen  112 . 
     In one embodiment, device  100  includes touch screen  112 , menu button  204 , push button  206  for powering the device on/off and locking the device, volume adjustment button(s)  208 , Subscriber Identity Module (SIM) card slot  210 , head set jack  212 , and docking/charging external port  124 . Push button  206  may be used to turn the power on/off on the device by depressing the button and holding the button in the depressed state for a predefined time interval; to lock the device by depressing the button and releasing the button before the predefined time interval has elapsed; and/or to unlock the device or initiate an unlock process. In an alternative embodiment, device  100  also may accept verbal input for activation or deactivation of some functions through microphone  113 . 
       FIG. 3  is a block diagram of an exemplary multifunction device with a display and a touch-sensitive surface in accordance with some embodiments. Device  300  need not be portable. In some embodiments, device  300  is a laptop computer, a desktop computer, a tablet computer, a multimedia player device, a navigation device, an educational device (such as a child&#39;s learning toy), a gaming system, or a control device (e.g., a home or industrial controller). Device  300  typically includes one or more processing units (CPU&#39;s)  310 , one or more network or other communications interfaces  360 , memory  370 , and one or more communication buses  320  for interconnecting these components. Communication buses  320  may include circuitry (sometimes called a chipset) that interconnects and controls communications between system components. Device  300  includes input/output (I/O) interface  330  comprising display  340 , which is typically a touch screen display. I/O interface  330  also may include a keyboard and/or mouse (or other pointing device)  350  and touchpad  355 . Memory  370  includes high-speed random access memory, such as DRAM, SRAM, DDR RAM or other random access solid state memory devices; and may include non-volatile memory, such as one or more magnetic disk storage devices, optical disk storage devices, flash memory devices, or other non-volatile solid state storage devices. Memory  370  may optionally include one or more storage devices remotely located from CPU(s)  310 . In some embodiments, memory  370  stores programs, modules, and data structures analogous to the programs, modules, and data structures stored in memory  102  of portable multifunction device  100  ( FIG. 1 ), or a subset thereof. Furthermore, memory  370  may store additional programs, modules, and data structures not present in memory  102  of portable multifunction device  100 . For example, memory  370  of device  300  may store drawing module  380 , presentation module  382 , word processing module  384 , website creation module  386 , disk authoring module  388 , and/or spreadsheet module  390 , while memory  102  of portable multifunction device  100  ( FIG. 1 ) may not store these modules. 
     Each of the above identified elements in  FIG. 3  may be stored in one or more of the previously mentioned memory devices. Each of the above identified modules corresponds to a set of instructions for performing a function described above. The above identified modules or programs (i.e., sets of instructions) need not be implemented as separate software programs, procedures or modules, and thus various subsets of these modules may be combined or otherwise re-arranged in various embodiments. In some embodiments, memory  370  may store a subset of the modules and data structures identified above. Furthermore, memory  370  may store additional modules and data structures not described above. 
     Attention is now directed towards embodiments of user interfaces (“UI”) that may be implemented on portable multifunction device  100 .  FIG. 4A  illustrates exemplary user interfaces for a menu of applications on portable multifunction device  100  in accordance with some embodiments. Similar user interfaces may be implemented on device  300 . In some embodiments, user interface  400  includes the following elements, or a subset or superset thereof:
         Signal strength indicator(s)  402  for wireless communication(s), such as cellular and Wi-Fi signals;   Time  404 ;   Bluetooth indicator  405 ;   Battery status indicator  406 ;   Tray  408  with icons for frequently used applications, such as:
           Icon  416  for telephone module  138 , labeled “Phone,” which optionally includes an indicator  414  of the number of missed calls or voicemail messages;   Icon  418  for e-mail client module  140 , labeled “Mail,” which optionally includes an indicator  410  of the number of unread e-mails;   Icon  420  for browser module  147 , labeled “Browser;” and   Icon  422  for video and music player module  152 , also referred to as iPod (trademark of Apple Inc.) module  152 , labeled “iPod;” and   
           Icons for other applications, such as:
           Icon  424  for IM module  141 , labeled “Messages;”   Icon  426  for calendar module  148 , labeled “Calendar;”   Icon  428  for image management module  144 , labeled “Photos;”   Icon  430  for camera module  143 , labeled “Camera;”   Icon  432  for online video module  155 , labeled “Online Video;”   Icon  434  for stocks widget  149 - 2 , labeled “Stocks;”   Icon  436  for map module  154 , labeled “Maps;”   Icon  438  for weather widget  149 - 1 , labeled “Weather;”   Icon  440  for alarm clock widget  149 - 4 , labeled “Clock;”   Icon  442  for workout support module  142 , labeled “Workout Support;”   Icon  444  for notes module  153 , labeled “Notes;” and   Icon  446  for a settings application or module, labeled “Settings,” which provides access to settings for device  100  and its various applications  136 .   
               

       FIG. 4B  illustrates an exemplary user interface on a device (e.g., device  300 ,  FIG. 3 ) with a touch-sensitive surface  451  (e.g., a tablet or touchpad  355 ,  FIG. 3 ) that is separate from the display  450  (e.g., touch screen display  112 ). Although many of the examples which follow will be given with reference to inputs on touch screen display  112  (where the touch sensitive surface and the display are combined), in some embodiments, the device detects inputs on a touch-sensitive surface that is separate from the display, as shown in  FIG. 4B . In some embodiments the touch sensitive surface (e.g.,  451 ) has a primary axis (e.g.,  452 ) that corresponds to a primary axis (e.g.,  453 ) on the display (e.g.,  450 ). In accordance with these embodiments, the device detects contacts (e.g.,  460  and  462 ) with the touch-sensitive surface  451  at locations that correspond to respective locations on the display (e.g.,  460  corresponds to  468  and  462  corresponds to  470 ). In this way, user inputs (e.g., contacts  460  and  462 , and movements thereof) detected by the device on the touch-sensitive surface (e.g.,  451 ) are used by the device to manipulate the user interface on the display (e.g.,  450 ) of the multifunction device when the touch-sensitive surface is separate from the display. It should be understood that similar methods may be used for other user interfaces described herein. 
     Additionally, while the following examples are given primarily with reference to finger inputs (e.g., finger contacts, finger tap gestures, finger swipe gestures), it should be understood that, in some embodiments, one or more of the finger inputs are replaced with input from another input device (e.g., a mouse-based input or stylus input). For example, a swipe gesture is, optionally, replaced with a mouse click (e.g., instead of a contact) followed by movement of the cursor along the path of the swipe (e.g., instead of movement of the contact). As another example, a tap gesture is, optionally, replaced with a mouse click while the cursor is located over the location of the tap gesture (e.g., instead of detection of the contact followed by ceasing to detect the contact). Similarly, when multiple user inputs are simultaneously detected, it should be understood that multiple computer mice are, optionally, used simultaneously, or a mouse and finger contacts are, optionally, used simultaneously. 
     As used in the specification and claims, the term “open application” refers to a software application with retained state information (e.g., as part of device/global internal state  157  and/or application internal state  192 ). An open (e.g., executing) application is any one of the following types of applications:
         an active application, which is currently displayed on display  112  (or a corresponding application view is currently displayed on the display);   a background application (or background process), which is not currently displayed on display  112 , but one or more application processes (e.g., instructions) for the corresponding application are being processed by one or more processors  120  (i.e., running);   a suspended application, which is not currently running, and the application is stored in a volatile memory (e.g., DRAM, SRAM, DDR RAM, or other volatile random access solid state memory device of memory  102 ); and   a hibernated application, which is not running, and the application is stored in a non-volatile memory (e.g., one or more magnetic disk storage devices, optical disk storage devices, flash memory devices, or other non-volatile solid state storage devices of memory  102 ).       

     As used herein, the term “closed application” refers to software applications without retained state information (e.g., state information for closed applications is not stored in a memory of the device). Accordingly, closing an application includes stopping and/or removing application processes for the application and removing state information for the application from the memory of the device. Generally, opening a second application while in a first application does not close the first application. When the second application is displayed and the first application ceases to be displayed, the first application becomes a background application. 
       FIG. 5  illustrates an exemplary schematic block diagram of a phrase embedding system  500  in accordance with some embodiments. The phrase embedding system  500  may be implemented using one or more multifunction devices including but not limited to devices  100 ,  400 , and  9   900  ( FIGS. 1A, 2, 4A -B, and  9 ). 
     Generally, the phrase embedding system  500  operates to provide phrase representations, for instance in a continuous space (e.g., vector space), that may be used to perform a variety of natural language processing (NLP) tasks. In some examples, providing phrase representations in this manner includes determining which phrases of a sentence (or sentences) are relatively discriminative and/or parsimonious in meaning. 
     In some embodiments, the phrase embedding system  500  operates at a sentence-level. For example, the phrase embedding system  500  may consider each phrase of each of a plurality of sentences in isolation such that phrases spanning between sentences are not considered. The phrase embedding system  500  may embed phrases of each of a plurality of sentences identified in a set of data (e.g., training data) provided and/or stored on a device on which the phrase embedding system  500  is implemented. 
     In operation, the phrase embedding system,  500  may identify a sentence in a set of data and provide each word of the sentence to a respective embedding unit  502 . Briefly, each of the embedding units  502  may map the received word to a word representation (e.g., vector). Mapping a word in this manner may include embedding (e.g., orthographically embedding) a character sequence of the word to provide a word representation of the word in a continuous space. Such embedding further may ignore homonymous and/or polysemous aspects of a word. By way of example, two words having a same character sequence, but a different meaning or context, may be mapped to a same word representation in the continuous space. In some examples, one or more of the embedding units  502  may be implemented using a neural network, such as a recurrent neural network (e.g., bidirectional recurrent neural network) or a feedforward neural network. 
     The concatenation unit  504  receives each of the word representations from the embedding units  502  and provides (e.g., generates) a plurality of phrases based on the word representations. Because phrases provided in this manner are based on word representations of words, the phrases may comprise phrase representations in the continuous space (e.g., the same space as the word representations). In some examples, each phrase is provided by concatenating word representations of each word included in the phrase. Concatenating in this manner may result in a phrase having a relatively high dimensionality relative to word representations used to provide the phrase. As an example, if each word representation used to provide a phrase including five word representations has a dimension 2H, the phrase will have a dimension of 10H. 
     In some examples, the concatenation unit  504  provides a phrase for each word of a sentence (each word of a sentence is used as a center word of a phrase), and each phrase may have a same length, for instance, based on a length factor L. The length factor L may specify the amount of left context and right context of a word included in a phrase. Accordingly, each phrase may have a length of 2L+1. Left context of a word may include word representations of words preceding the word in the sentence and right context of the word may include word representations of words following the word in the sentence. As an example in which L=3, in the phrase “necessary to succeed in the high-tech industry,” “in” serves as the center word of the phrase, “necessary to succeed” serves as the left context of the word, and “the high-tech industry” serves as the right context of the word. Because a phrase may be provided for each word of a sentence and because each phrase may have a same length, it will be appreciated that phrases corresponding to a same sentence may include one or more of the same word representations. Moreover, for phrases in which one or more forms of context is not available (e.g., L is greater than the number of words preceding and/or following a center word of the phrase in the sentence), word representations may make use of one or more special symbols (e.g., &lt;s&gt;) in lieu of the unavailable context. 
     The autoencoder  506  receives each of the phrases from the concatenation unit  504  and based on the phrases, provides a respective plurality of encoded phrases. In some examples, each of the phrases may have a representation of a first type (e.g., a first dimension) and each of the encoded phrases may have a representation of a second type (e.g., a second dimension different than the first dimension). 
     As described, each of the phrases provided by the concatenation unit  504  may have a relatively high dimensionality as a result of concatenation of word representations. Accordingly, in some instances, the autoencoder  506  adjusts (e.g., reduces) dimensionality of each of the phrases to provide the plurality of encoded phrases. Adjusting dimensionality of a phrase in this manner may include reducing a dimensionality of the phrase and reconstructing the phrase. In some examples, the autoencoder  506  may be implemented using a neural network, such as a recurrent neural network or a feedforward neural network. Accordingly, the autoencoder  506  may reduce the dimensionality of a phrase using a first weight factor (e.g., a weight matrix) and reconstruct the phrase using a second weight factor. In some examples, the autoencoder  506  may reduce dimensionality of the phrase using multiple weight factors and/or may reconstruct the phrase using multiple weight factors. By reducing dimensionality and reconstructing in this manner, the autoencoder may provide encoded phrases with minimal reconstruction errors. 
     The averaging unit  508  receives each of the encoded phrases from the autoencoder  506  and provides an average of the encoded phrases that serves as a representation of the sentence. In some examples, providing an average may include providing a centroid of each of the plurality of encoded phrases. 
     As described, the phrase embedding system  508  may operate at a sentence level, and a plurality of sentences may be identified in a set of data. Accordingly, the operation described herein may be iteratively repeated until the averaging unit  508  has provided an average for each of the plurality of sentences identified in the set of data. 
     The clustering unit  510  receives each of the averages (e.g., centroids) and clusters the averages in the continuous space. The clustering unit  510  may cluster the averages using one or more clustering algorithms known in the art, including but not limited to, a hierarchical k-nearest-neighbor clustering algorithm, a K-means clustering algorithm, a hierarchical clustering algorithm, a sparse exemplar-based modeling algorithm, or a combination thereof. As an example, the clustering unit  510  may use a K-means clustering algorithm to provide a first iteration of clustering (e.g., a coarse cluster partitioning) and may use a hierarchical clustering algorithm to provide a second iteration of clustering (e.g., a fine cluster partitioning). 
     The entropy computation unit  512  identifies (e.g., determines) an indexing power of each encoded phrase of each sentence of the set of data, for instance, using the clusters provided by the clustering unit  510 . In some examples, the entropy computation unit  512  may determine an indexing power of a phrase based on the number of times the center word of the phrase occurs in each of the clusters. Generally, the fewer the number of clusters in which a center word of a phrase is found, the more discriminative the phrase. 
     In some examples, the entropy computation unit  512  may determine indexing power using normalized entropy of a center word of each phrase. The normalized entropy, ε i , of a word may be determined in accordance with the following equation: 
     
       
         
           
             
               ɛ 
               i 
             
             = 
             
               
                 - 
                 
                   1 
                   
                     log 
                     ⁢ 
                     
                         
                     
                     ⁢ 
                     K 
                   
                 
               
               ⁢ 
               
                 
                   ∑ 
                   
                     k 
                     = 
                     1 
                   
                   K 
                 
                 ⁢ 
                 
                     
                 
                 ⁢ 
                 
                   
                     
                       c 
                       
                         i 
                         , 
                         k 
                       
                     
                     
                       t 
                       i 
                     
                   
                   ⁢ 
                   log 
                   ⁢ 
                   
                     
                       c 
                       
                         i 
                         , 
                         k 
                       
                     
                     
                       t 
                       i 
                     
                   
                 
               
             
           
         
       
     
     where K represents the number of clusters in the continuous space, C i,k  represents the number of times a center word w i  appears in a cluster C k , and t i  represents the total number of times center word w i  appears in all clusters. By definition, the normalized entropy ε i  will have a value greater than or equal to 0 and less than or equal to 1 (i.e., 0≦ε i ≦1). 
     Having determined the normalized entropy ε i , the entropy computation unit  512  may determine the indexing power of each encoded phrase. Because greater normalized entropy values are associated with less discriminative phrases (e.g., phrases included in many clusters) and lesser normalized entropy values are associated with more discriminative phrases (e.g., phrases included in few clusters), the indexing power of each phrase may be determined by subtracting the normalized entropy of each phrase from a value of 1 (i.e., 1−ε i ). Briefly, the greater an indexing power, the more discriminative the phrase associated with the indexing power. 
     The filter  514  receives each of the encoded phrases from the autoencoder  506  and each of the indexing powers associated with each of the encoded phrases from the entropy computation unit  512 . Based on the indexing powers, the filter  514  may identify (e.g., select) one or more of the encoded phrases to provide as a set of parsimonious (e.g., discriminatory) phrases. In some examples, the filter may select encoded phrases having an indexing power satisfying (e.g., equal to or greater than) a threshold. In other examples, the filter may select a set of the encoded phrases having the highest indexing power (e.g., a set comprising the 20% of encoded phrases having the greatest indexing power). 
     Having identified one or more parsimonious phrases from the set of data, the identified parsimonious phrases may be used in one more natural language processing tasks to identify, categorize, or otherwise interpret natural language input. Such tasks may include information retrieval, document classification, question answering, and/or connectionist language modeling. 
     In contrast to previous embedding systems directed to embedding individual words, the embedding system  500  described herein may embed phrases, each of which includes a respective plurality of words. As a result, more intuitive and discriminative language models may be provided. Use of such language models may provide for a more discriminative evaluation of words typically ambiguous to existing systems, such as homonymous words (e.g., bank) and words that may be improperly spelled without an accent (e.g., résumé). Such models may in principle be more robust across domains and as a result provide a higher degree of re-usability (e.g., the model may be used multiple times after being trained once). In some examples, words in phrase-embedded language models may be positioned in vector space such that words with same or similar meanings are relatively proximate. In this manner, words may be interpreted based, at least in part, on meaning rather than merely spelling or pronunciation as in existing systems. 
     As described, the phrase embedding system  500  may operate at a sentence-level. By operating at a sentence-level, the phrase embedding system  500  need not consider inter-sentence phrases. It will be appreciated, however, that in other examples the phrase embedding system  500  may operate at one or more other levels (e.g., paragraph-level) such that phrases spanning between sentences may be utilized as described herein. 
       FIG. 6  illustrates an exemplary network  600  for embedding words in accordance with some embodiments. Generally, the network  600  may be a neural network (e.g., bidirectional recurrent neural network) that may serve to provide a spatial representation of a character sequence (e.g., word) in response to receipt of the character sequence. Accordingly, the network  600  may be used to implement one or more embedding units  502  of  FIG. 5 . 
     The network  600  may include multiple layers. The network  600  may, for instance, include an input layer  610 , one or more hidden layers  620 , and an output layer  630 . In this example, network  600  includes a single hidden layer  620 . It will be appreciated, however, that in other examples, the network  600  can include one more additional hidden layers  620 . 
     Each layer of the network  600  may comprise any number of units. A layer may, for instance, comprise a single unit or may comprise multiple units. These units, which in some examples may be referred to as dimensions, neurons, or nodes (e.g., context nodes), may operate as the computational elements of the network  600 . As illustrated, in some examples, the input layer  610  may include preceding context units  612 ,  616  and a current input unit  614 , and the hidden layer  620  may include current context units  622 ,  624 . Units of the network  600  further may be interconnected using connections. Connections may be unidirectional or bidirectional, and further may be associated with a respective weight value. Each weight value specifies a strength of the corresponding connection and accordingly the relative influence of the value provided via the connection. As illustrated, the preceding context unit  612  may be connected to the current context unit  622 , the current input unit  614  may be connected to each of the current context units  622 ,  624 , and the preceding context unit  616  may be connected to the current context unit  624 . Each of the current context units  622 ,  624  may further be connected to the output layer  630  (recall that a layer may comprise a single unit). 
     In operation, the input layer  610  receives a sequence of characters and provides values corresponding the sequence to the hidden layer  620  via connections interconnected between units of the input layer  610  and the hidden layer  620 . For example, each of preceding context units  612 ,  616  are connected to respective current context units of hidden layer  620  and provide respective context values of a current input (e.g., a current character) at a time step (e.g., time step t). In particular, preceding context unit  612  provides a first preceding context value of a current input, or lc(t−1). The preceding context value lc(t−1) may be a left preceding context value and accordingly may correspond to a left context value of the preceding time step (e.g., time step t−1). Similarly, the current input unit  614  provides a second preceding context value of a current input, or rc(t−1). The preceding context value rc(t−1) may be a right preceding context value and accordingly may correspond to a right context value of the preceding time step (e.g., time step t−1). Each of the preceding context values lc(t−1), rc(t−1) may be provided as vectors having a dimension H. The current input unit  614  is connected to current context units  622 ,  624  of hidden layer  620  and provides a current input, or x(t), to each of the current context units  622 ,  624 . Generally, x(t) may be provided by encoding a current character using 1-of-M encoding and accordingly may have a dimension equal to M. 
     The current context unit  622  of the hidden layer  620  receives the first preceding context value lc(t−1) from the preceding context unit  612  and the current input x(t) from the current input unit  614  and based on the values determines a first current context value lc(t). The first current context value lc(t) may be a left current context value and accordingly may correspond to a left context value of a current time step (e.g., time step t). As described, in some examples, connections may be weighted. The connection between the preceding context unit  612  and the current context unit  622  may be weighted by a weight factor (e.g., weight matrix) V and the connection between the current input unit  614  and the current context unit  622  may be weighted by a weight factor X. Accordingly, the current context unit  622  may determine the left current context value lc(t) in accordance with the following formula:
 
 lc ( t )= F{X·x ( t )+ V·lc ( t− 1)}
 
     where F{ } denotes an function (e.g., activation function), such as a sigmoid function, a hyperbolic tangent function, a rectified linear unit function, any function related thereto, or any combination thereof. The left current context value lc(t) may be provided as vector of dimension H. 
     Similarly, the current context unit  624  of the hidden layer  620  receives the second preceding context value rc(t−1) from the preceding context unit  616  and the current input x(t) from the current input unit  614  and based on the values determines a second current context value rc(t). The second current context value rc(t) may be a right current context value and accordingly may correspond to a right context value of a current time step (e.g., time step t). The connection between the unit  616  and the current context unit  624  may be weighted by a weight factor W and the connection between the unit  614  and the current context unit  624  may be weighted by a weight factor Y. Accordingly, the current context unit  624  may determine the right current context value rc(t) in accordance with the following formula:
 
 rc ( t )= F{Y·x ( t )+ W·rc ( t− 1)}
 
where F{ } denotes an activation function, such as a sigmoid function, a hyperbolic tangent function, a rectified linear unit function, or any combination thereof. The right current context value rc(t) may be provided as vector of dimension H.
 
     In some examples, the current context values lc(t), rc(t) are concatenated, for instance, by one or more units of the hidden layer  620 , to provide a state value s(t) (e.g., where s(t)=[lc(t) rc(t)]). The state value s(t) may, for instance, be indicative of a state of the network  600  and have a dimension of 2H. The state value s(t) may be provided to the output layer  630 , which may in turn provide an input sequence z(t) based on the state value s(t). In some examples, the state value s(t) may be provided to the output layer  630  using a connection weighted by a weight factor Z. Accordingly, the output layer  630  may be determine the input sequence z(t) in accordance with the following formula:
 
 z ( t )= G{Z·s ( t )}
 
where G{ } denotes a function, such as a softmax activation function. In this manner, the input sequence z(t) may be encoded using 1-of-N encoding and have a dimension of N. In some examples, N may be the size of a vocabulary to which a character sequence (word) belongs.
 
     As described, each of the preceding context units  612 ,  616  provide a respective preceding context value of the current input to a respective current context unit  622 ,  624  of the hidden layer  620 . Accordingly, the current context unit  622  may provide each current context value lc(t) of a current time step to the preceding context unit  612  of the input layer  610  for use as a preceding context value lc(t−1) during the next time step (e.g., time step t+1). Similarly, the current context unit  624  may provide each current context value rc(t) of a current time step to the preceding context unit  616  of the input layer  610  for use as a preceding context value rc(t−1) during the next time step. In this manner, the network  600  may operate recurrently and/or bidirectionally to provide a spatial representation of a character sequence. 
       FIG. 7  illustrates an exemplary encoder  700  in accordance with some embodiments. The encoder  700  may be a neural network (e.g., neural network autoencoder) that may serve to adjust a dimensionality of a phrase. Accordingly, the encoder  700  may be used to implement the autoencoder  506  of  FIG. 5 . 
     The encoder  700  may include multiple layers. The encoder  700  may, for instance, include an input layer  710 , a compression layer  720 , a bottleneck layer  730 , an expansion layer  740 , and an output layer  750 . In some instances, one or more of the compression layer  720 , bottleneck layer  730 , and expansion layer  740  may be referred to as hidden layers. It will be appreciated that in other examples, the encoder  700  can include any number of additional layers (e.g., additional hidden layers) or omit one or more of the layers  710 - 750 . 
     Each layer of the encoder  700  may comprise any number of units (not shown in  FIG. 10 ). These units, which may be referred to as dimensions, neurons, or nodes (e.g., context nodes), operate as the computational elements of the encoder  1000 . As illustrated, in some examples, layers (or units included therein) may be interconnected using connections. Each connection may be associated with a respective weight value that specifies a strength of the corresponding connection and accordingly the relative influence of the value provided via the connection. As illustrated, the input layer  710  may be connected to the compression layer  720 , the compression layer  720  may be connected to the bottleneck layer  730 , the bottleneck layer  730  may be connected to the expansion layer  740 , and the expansion layer  740  may be connected to the output layer  750 . 
     Generally, the encoder  700  reduces dimensionality by projecting a phrase to a lower dimension. For example, the input layer  710  receives a phrase p. The phrase p may, for instance, have a dimension of P, or 2H(2L+1), where 2L corresponds to the context included in the phrase. 
     The input layer  710  may provide the phrase p to the compression layer  720 . Based on the phrase p, the compression layer  720  may provide a phrase c. In some examples, the connection between the input layer  710  and the compression layer  720  may be weighted by a weight factor (e.g., weight matrix) U. Accordingly, the compression layer  720  may provide the phrase c in accordance with the following equation:
 
 c=F{U·p} 
 
where F{ } denotes an activation function. The phrase c may have a dimension of C, where C&lt;P.
 
     The compression layer  720  may provide the phrase c to the bottleneck layer  730 . Based on the phrase c, the bottleneck layer  730  may provide the phrase b. In some examples, the connection between the compression layer  720  and the bottleneck layer  730  may be weighted by a weight factor T. Accordingly, the bottleneck layer  730  may provide the phrase b in accordance with the following equation:
 
 b=F{T·c} 
 
where F{ } denotes an activation function. The phrase b may have a dimension of B, where B&lt;C&lt;P.
 
     Having reduced the dimensionality P of the phrase p to a dimensionality B of the phrase b, the encoder  700  may subsequently provide a reconstructed phrase p (designated as phrase p′) using the phrase b. 
     The bottleneck layer  730  may provide the phrase b to the expansion layer  740 . Based on the phrase b, the expansion layer  740  may provide the spatial representation a. In some examples, the connection between the bottleneck layer  730  and the expansion layer  740  may be weighted by a weight factor S. Accordingly, the expansion layer  740  may provide the spatial representation a in accordance with the following equation:
 
 a=F{S·b} 
 
where F{ } denotes an activation function. The embedding of the spatial representation a may have a dimension of B, where B&lt;C&lt;P, and the spatial representation a itself may have a dimension of A.
 
     The expansion layer  740  may provide the spatial representation a to the output layer  750 . Based on the spatial representation a, the output layer  750  may provide the phrase p′, or the reconstructed spatial representation of p. In some examples, the connection between the expansion layer  740  and the output layer  750  may be weighted by a weight factor R. Accordingly, the output layer  750  may provide the phrase p′ in accordance with the following equation:
 
 p′=F{R·a} 
 
where F{ } denotes an activation function. The embedding of the phrase p′ may have a dimension of B, where B&lt;C&lt;P, and the spatial representation p′ itself may have a dimension of P.
 
     In this manner, the encoder  700  may reduce dimensionality of phrases and/or reconstruct phrases having the reduced dimensionality. Performing dimensionality reduction in this manner can be desirable to reduce the time and cost for computations associated with the reduced-dimension spatial representation. 
     As described, one or more of the layers of the encoder  700  may include one or more units. In some examples, the manner in which dimensionality of vectors is reduced by the encoder  700  may depend on a relationship between the number of units in each layer. By way of example, the compression layer may have fewer units than the input layer and the dimensionality of the phrase p may be reduced based on the ratio of the number of units of the compression and the number of units in the input layer. 
       FIG. 8  illustrates a flow diagram of an exemplary process  800  for embedding phrases in accordance with some embodiments. The process  800  may be performed using one or more devices  122 ,  100 ,  400 , and  900  ( FIGS. 1A, 2, 4A -B, and  9 ), and further may be performed using a phrase embedding system, such as the phrase embedding system  500  of  FIG. 5 , implemented on the one or more devices. Operations in process  800  are, optionally, combined and/or the order of some operations is, optionally, changed. 
     At block  805 , the device receives a plurality of words. Each of the plurality of words may arranged in one or more sentences and further may be included in a set of data, such as a set of training data. The set of data may comprise one or more documents (e.g., text documents) and/or one or more data structures. 
     At block  810 , the device maps each of the plurality of words to a word representation (e.g., spatial representation, vector). In some embodiments, mapping each of the plurality of words includes orthographically embedding each of the plurality of words, for instance to a word representation, in a continuous space. One or more of the plurality of words may be mapped without regard to polysemy and/or homomyny, and as a result, words having a same spelling and/or context may be mapped to a same word representation. 
     At block  815 , the device associates each of the mapped words to provide a plurality of phrases. In some embodiments, each mapped word is associated with one or more other mapped words to provide the plurality of phrases. Associating mapped words includes concatenating word representations in some examples. Accordingly, a dimension of a phrase may be based on a number of word representations included in the phrase. 
     In some embodiments, each word of each sentence of the training data may be used as a center word of a phrase. A center word may be referred to as a word of interest in some instances. Further, each phrase may include context of the center word. Because each phrase provided at the block  815  may include a same amount of context, each of the phrases may have a same length. In some examples, each phrase may include left context, or word representations of words preceding the center word in a sentence, and right context, or word representations of words following the center word in a sentence. Phrases may include a same amount of left context and right context in some examples. 
     At block  820 , the device encodes each of the plurality of phrases to provide a respective plurality of encoded phrases. Generally, each of the plurality of phrases may have a representation of a first type (e.g., a dimension of a first order) and each of the plurality of encoded phrases may have a representation of a second type different than the first type (e.g., a dimension of a second order different than the first order). Each of the encoded phrases may be projected into the same continuous space as the word and phrase representations. 
     In some embodiments, encoding a phrase includes adjusting a dimensionality of the phrase and/or reconstructing the phrase. Adjusting a dimensionality may include projecting (e.g., reducing) the phrase from the first dimension to the second dimension and reconstructing the phrase may include reconstructing the phrase in a manner such that a reconstruction error is minimized. 
     In some embodiments, encoding a phrase may include applying one or more weight factors of a first set of weight factors (e.g., weight matrix) to a phrase to adjust a dimensionality of the phrase and applying one or more weight factors of a second set of weight factors to reconstruct the phrase. The weight factors may be applied using an autoencoder and/or a neural network in some examples. 
     At block  825 , the device determines a value for each of the plurality of encoded phrases. The value may comprise an indexing power of the phrase and/or may indicate a discriminative strength of a phrase in some examples. In some embodiments, the device determines a value for each phrase of each sentence of the training data. 
     In some embodiments, the device determines each value using a representation of each sentence. By way of example, for each sentence, the device may average all phrases of the sentence to provide a representation of the sentence. Averages provided in this manner are provided as centroids in some embodiments. The device then maps each of the centroids in the continuous space and clusters the centroids using one or more clustering algorithms. Such clustering algorithms include a hierarchical k-nearest-neighbor clustering algorithm, a k-means clustering algorithm (e.g., for coarse partitioning of clusters), a hierarchical clustering algorithm (e.g., for fine partitioning of clusters), or a combination thereof. Once centroids have been clustered, each phrase is compared to clusters in the continuous space to determine a respective value. In some embodiments, the comparison includes determining a number of times a center word of each phrase appears in each of the clusters and/or includes determining a normalized entropy for each center word of each phrase. 
     At block  830 , the device identifies one or more phrases of the plurality of encoded phrases having a value exceeding a threshold. In some embodiments, phrases identified in this manner are provided as a set of parsimonious and/or discriminatory phrases that may be used in one or more natural language processing applications. 
     In accordance with some embodiments,  FIG. 9  shows a functional block diagram of an electronic device  900  configured in accordance with the principles of the various described embodiments, including those described with reference to  FIG. 8 . The functional blocks of the device are, optionally, implemented by hardware, software, or a combination of hardware and software to carry out the principles of the various described embodiments. It is understood by persons of skill in the art that the functional blocks described in  FIG. 9  are, optionally, combined or separated into sub-blocks to implement the principles of the various described embodiments. Therefore, the description herein optionally supports any possible combination or separation or further definition of the functional blocks described herein. 
     As shown in  FIG. 9 , an electronic device  900  includes a processing unit  902 . In some embodiments, the processing unit  902  includes a receiving unit  904 , a mapping unit  906 , an associating unit  908 , an encoding unit  910 , a determining unit  912 , an identifying unit  914 , and optionally, an adjusting unit  916 , a reconstructing unit  918 , an applying unit  920 , a minimizing unit  922 , a providing unit  924 , and a clustering unit  926 . 
     In some embodiments, the processing unit  902  is configured to receive (e.g., with the receiving unit  904 ) a plurality of words; map (e.g., with the mapping unit  906 ) each of the plurality of words; associate (e.g., with the associating unit  908 ) the mapped words to provide a plurality of phrases, each of the plurality of phrases having a representation of a first type; encode (e.g., with the encoding unit  910 ) each of the plurality of phrases to provide a respective plurality of encoded phrases, each of the plurality of encoded phrases having a representation of a second type different than the first type; determine (e.g., with the determining unit  912 ) a value of each of the plurality of encoded phrases; and identify (e.g., with the identifying unit  914 ) one or more phrases of the plurality of encoded phrases having a value exceeding a threshold. 
     In some embodiments, mapping each of the plurality of words to a word representation includes mapping (e.g., with the mapping unit  906 ) a character sequence of each of the plurality of words. 
     In some embodiments, each of the plurality of phrases includes a same number of mapped words. 
     In some embodiments, encoding each of the plurality of phrases to provide a respective plurality of encoded phrases comprises: for each phrase, adjusting (e.g., with the adjusting unit  916 ) a dimensionality of the phrase and reconstructing (e.g., with the reconstructing unit  918 ) the projected phrase to provide an encoded phrase. 
     In some embodiments, adjusting a dimensionality of the phrase comprises applying (e.g., with the applying unit  920 ) a first weight matrix to the phrase and reconstructing (e.g., with the reconstructing unit  918 ) the phrase to provide an encoded phrase comprises applying a second weight matrix to the phrase. 
     In some embodiments, reconstructing the phrase to provide an encoded phrase comprises minimizing (e.g., with the minimizing unit  922 ) a reconstruction error. 
     In some embodiments, determining a value of each of the plurality of encoded phrases comprises providing (e.g., with the providing unit  924 ) a spatial representation of the plurality of phrases to provide a cluster; clustering (e.g., with the clustering unit  926 ) the spatial representation with another spatial representation; and determining (e.g., with the determining unit  912 ) the value of a word of each of the plurality of phrases based on the cluster. 
     In some embodiments, the processing is further configured to determine (e.g., with the determining unit  912 ) whether the value of the word of each of the plurality of phrases satisfies a threshold. 
     In some embodiments, clustering the spatial representation with another spatial representation to provide a cluster comprises clustering (e.g., with the clustering unit  926 ) with a hierarchical k-nearest-neighbor clustering algorithm. 
     In some embodiments, clustering the spatial representation with another spatial representation to provide a cluster comprises clustering (e.g., with the clustering unit  926 ) with at least one of a k-means clustering algorithm or a hierarchical clustering algorithm. 
     In some embodiments, the plurality of encoded phrases and the spatial representation are associated with a same vector space. 
     In some embodiments, a first word of the plurality of words and a second word of the plurality of words have a same character sequence. 
     The operation described above with respect to  FIG. 8  is, optionally, implemented by components depicted in  FIGS. 1A-B ,  3 , and  9 . For example, receiving operation  805 , mapping operation  810 , associating operation  815 , encoding operation  820 , determining operation  825 , and identifying operation  830  are optionally implemented by processor(s)  120 . It would be clear to a person of ordinary skill in the art how other processes can be implemented based on the components depicted in  FIGS. 1A-B ,  3 , and  9 . 
     It is understood by persons of skill in the art that the functional blocks described in  FIG. 9  are, optionally, combined or separated into sub-blocks to implement the principles of the various described embodiments. Therefore, the description herein optionally supports any possible combination or separation or further definition of the functional blocks described herein. For example, processing unit  902  can have an associated “controller” unit that is operatively coupled with processing unit  902  to enable operation. This controller unit is not separately illustrated in  FIG. 9  but is understood to be within the grasp of one of ordinary skill in the art who is designing a device having a processing unit  902 , such as device  900 . As another example, one or more units, such as the receiving unit  904 , may be hardware units outside of processing unit  902  in some embodiments. The description herein thus optionally supports combination, separation, and/or further definition of the functional blocks described herein. 
     Although the disclosure and examples have been fully described with reference to the accompanying figures, it is to be noted that various changes and modifications will becomeapparent to those skilled in the art. Such changes and modifications are to be understood as being included within the scope of the disclosure and examples as defined by the appended claims.

Metadata:
Filing Date: 20150827
Publication Date: 20171212
Grant Date: 20171212
Priority Date: 20150416
Inventors: BELLEGARDA JEROME R.
Assignee: APPLE INC
CPC Classifications: [{"code": "G06N3/045", "inventive": true, "first": false, "tree": "[]"}, {"code": "G06N3/044", "inventive": true, "first": false, "tree": "[]"}, {"code": "G06N3/048", "inventive": false, "first": false, "tree": "[]"}, {"code": "G06N3/048", "inventive": false, "first": false, "tree": "[]"}, {"code": "G06N3/045", "inventive": true, "first": false, "tree": "[]"}, {"code": "G06N3/088", "inventive": true, "first": true, "tree": "[]"}, {"code": "G06N3/044", "inventive": true, "first": false, "tree": "[]"}, {"code": "G06F40/205", "inventive": true, "first": false, "tree": "[]"}, {"code": "G06F40/30", "inventive": true, "first": true, "tree": "[]"}, {"code": "G06N3/088", "inventive": true, "first": false, "tree": "[]"}, {"code": "G06F40/205", "inventive": true, "first": false, "tree": "[]"}, {"code": "G10L15/183", "inventive": false, "first": false, "tree": "[]"}, {"code": "G06F40/30", "inventive": true, "first": false, "tree": "[]"}, {"code": "G10L15/183", "inventive": false, "first": false, "tree": "[]"}, {"code": "G10L15/183", "inventive": false, "first": false, "tree": "[]"}, {"code": "G06F17/2705", "inventive": true, "first": false, "tree": "[]"}, {"code": "G06F17/2785", "inventive": true, "first": true, "tree": "[]"}]
Family ID: 57129400