cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35111/gxsc-gf19
title: 1996 English Broadcast News Dev and Eval (HUB4)

description: <p><a href="../../../LDC97S44" rel="nofollow">LDC97S44</a> - Speech data LDC97S66 - Dev and eval <a href="../../../LDC97T22" rel="nofollow">LDC97T22</a> - Transcripts</p><br>
<h3>Introduction</h3><br>
<p>The 1996 Broadcast News Speech Corpus contains a total of 104 hours of broadcasts from ABC, CNN and CSPAN television networks and NPR and PRI radio networks with corresponding transcripts. The primary motivation for this collection is to provide training data for the DARPA "HUB4" Project on continuous speech recognition in the broadcast domain.</p><br>
<h3>Data</h3><br>
<p>The speech files are available in a 19 disc training data set with one additional disc of development data and an additional disc of evaluation data. The following programs are represented in this corpus:</p><br>
<ul><br>
<li>ABC Nightline</li><br>
<li>ABC World Nightly News</li><br>
<li>ABC World News Tonight</li><br>
<li>CNN Early Edition</li><br>
<li>CNN Early Prime News</li><br>
<li>CNN Headline News</li><br>
<li>CNN Prime Time News</li><br>
<li>CNN The World Today</li><br>
<li>CSPAN Washington Journal</li><br>
<li>NPR All Things Considered</li><br>
<li>NPR Marketplace<br>
<p>Transcripts have been made of all recordings in this publication, manually time aligned to the phrasal level, annotated to identify boundaries between news stories, speaker turn boundaries, and gender information about the speakers. The released version of the transcripts is in SGML format and there is accompanying documentation and an SGML DTD file, included with the transcription release. The transcripts are available via FTP.</p><br>
<h3>Updates</h3><br>
There are no updates at this time.<br>
<h3>Additional Licensing Instructions</h3><br>
<p>This 'members-only' corpora is available to current members who can request the data at the listed reduced-license fee. Contact <a href="mailto:ldc@ldc.upenn.edu">ldc@ldc.upenn.edu</a> for information about becoming a member.</p><br>
</li><br>
</ul></br>
DOI: 10.35111/84c8-t325
title: DSO Corpus of Sense-Tagged English

description: <h3>Introduction</h3> <p>This corpus contains sense-tagged word occurrences for 121 nouns and 70 verbs which are among the most frequently occurring and ambiguous words in English. These occurrences are provided in about 192,800 sentences taken from the Brown corpus and the Wall Street Journal and have been hand tagged by students at the Linguistics Program of the National University of Singapore. WordNet 1.5 sense definitions of these nouns and verbs were used to identify a word sense for each occurrence of each word. </p><h3>Data</h3> <p>In addition to providing the word occurrences in their full sentential context, the corpus includes complete listings of the WordNet 1.5 sense definitions used in the tagging. </p><p>The following example illustrates the format of a sentence with a sense tag for the word "action," followed by the corresponding WordNet1.5 sense definition: </p> ca01.db #020 `` These &gt;&gt; actions 8 proceeding, legal proceeding, judicial proceeding, proceedings -- (the institution of a legal action) =&gt; due process, due process of law -- (the administration of justice according to established rules and principles) =&gt; group action -- (action taken by a group of people) =&gt; act, human action, human activity -- (something that people do or cause to happen) <p>(In the actual corpus, all tagged occurrences of a given noun or verb are stored together in one file, with each full sentence on one line; all noun and verb word sense definitions are stored together in two separate files.) </p><p>This sense tagged corpus was provided by Hwee Tou Ng of the Defence Science Organisation (DSO) of Singapore. It was first reported in the following paper at ACL-96: </p> "Integrating Multiple Knowledge Sources to Disambiguate Word Sense: An Exemplar-Based Approach," by Hwee Tou Ng and Hian Beng Lee, in Proceedings of the 34th Annual Meeting of the Association for Computational Linguistics, pages 40-47, Santa Cruz, California, USA, June 1996. ( http://xxx.lanl.gov/abs/cmp-lg/9606032 ) <h3>Updates</h3> There are no updates at this time. </br>
DOI: 10.35111/z1z4-ep76
title: CALLHOME American English Transcripts

description: <h3>Introduction</h3><br>
<p>The text component of the <a href="../../../Catalog/docs/LDC97T14/index.html" rel="nofollow">CALLHOME English</a> package includes time-aligned transcripts and documentation files for 120 unscripted telephone conversations between native speakers of English; a separate catalog entry, <a href="http://catalog.ldc.upenn.edu/LDC97S42" rel="nofollow">(LDC97S42)</a> provides the speech data for these conversations, which are partitioned into separate subdirectories for "training" (80 conversations), "development test set" (20 conversations) and "evalutation test set" (20 conversations).</p><br>
<h3>Data</h3><br>
<p>The transcripts cover a contiguous ten minute segment of each call in the training and development test sets, and a five minute segment of each call in the evaluation set, yielding a total of 18.3 hours of transcribed spontaneous speech, comprising about 230,000 words. The transcripts are timestamped by speaker turn for alignment with the speech signal and are provided in standard orthography.</p><br>
<p>In addition to transcript files, this corpus contains full documentation on the transcription conventions and format. Complete auditing information on the speakers represented in the transcripts (including gender, channel quality and so on) is also included.</p><br>
<p>This corpus is distributed throughout the LDC's FTP server.</p><br>
<p>The corpus of telephone speech (<a href="http://catalog.ldc.upenn.edu/LDC97S42" rel="nofollow">LDC97S42</a>) is available separately, as well as an associated lexicon (<a href="http://catalog.ldc.upenn.edu/LDC97L20" rel="nofollow">LDC97L20</a>).</p><br>
<h3>Updates</h3><br>
<p>There are no updates at this time.</p></br>
DOI: 10.35111/mn5p-0523
title: CALLHOME German Transcripts

description: <h3>Introduction</h3><br>
<p>CALLHOME German Transcripts are transcriptions of portions of German telephone speech from CALLHOME German Speech (<a href="http://catalog.ldc.upenn.edu/LDC97S43" rel="nofollow">LDC97S43</a>). Specifically, this corpus consists of contiguous five or ten minute segments taken from 100 unscripted telephone conversations between native German speakers. The transcripts are time-stamped by speaker turn for alignment with the speech signal and are provided in standard orthography.</p><br>
<h3>Data</h3><br>
<p>The documentation included with this release describes transcription conventions and format, along with speaker metadata (e.g., gender, channel quality).</p><br>
<p>LDC has also released CALLHOME German Lexicon (<a href="http://catalog.ldc.upenn.edu/LDC97L18" rel="nofollow">LDC97L18</a>) which includes words from CALLHOME German Transcripts.</p><br>
<h3>Samples</h3><br>
<p>Please view this <a href="desc/addenda/LDC97T15.txt">transcript sample</a>.</p><br>
<h3>Updates</h3><br>
<p>There are no updates at this time.</p></br>
Portions © 1997 Trustees of the University of Pennsylvania
DOI: 10.35111/39gj-5h87
title: CALLHOME Egyptian Arabic Transcripts

description: <h3>Introduction</h3><br>
<p>The text component of the <a href="../../../Catalog/docs/LDC97T19/index.html" rel="nofollow">CALLHOME Egyptian Arabic</a> package includes transcripts and documentation files. The transcripts cover a contiguous five or ten minute segment taken from 120 unscripted telephone conversations between native speakers of Egyptian Colloquial Arabic (ECA), the spoken variety of Arabic found in Egypt. The dialect of ECA that this dictionary represents is Cairene Arabic.</p><br>
<h3>Data</h3><br>
<p>The transcripts are timestamped by speaker turn for alignment with the speech signal and are provided in standard orthography.</p><br>
<p>In addition to transcript files, this corpus contains full documentation on the transcription conventions and format. Complete auditing information on the speakers represented in the transcripts (including gender, channel quality and so on) is also included.</p><br>
<p>For a sample file, please click <a href="desc/addenda/LDC1997T19.gif" rel="nofollow">here</a>.</p><br>
<p>The corpus of telephone speech (<a href="http://catalog.ldc.upenn.edu/LDC97S45" rel="nofollow">LDC97S45</a>) is available separately, as is an associated lexicon (<a href="http://catalog.ldc.upenn.edu/LDC99L22" rel="nofollow">LDC99L22</a>).</p><br>
<h3>Updates</h3><br>
<p>There are no updates at this time.</p></br>
Portions © 1996-1997 Trustees of the University of Pennsylvania
DOI: 10.35111/339y-6n93
title: 1996 English Broadcast News Transcripts (HUB4)

description: <a href="http://catalog.ldc.upenn.edu/LDC97S44" rel="nofollow">LDC97S44</a> - Speech data <a href="http://catalog.ldc.upenn.edu/LDC97S66" rel="nofollow">LDC97S66</a> - Dev and eval LDC97T22 - Transcripts <h3>Introduction</h3> <p>The 1996 Broadcast News Speech Corpus contains a total of 104 hours of broadcasts from ABC, CNN, and CSPAN television networks and NPR and PRI radio networks with corresponding transcripts. The primary motivation for this collection is to provide training data for the DARPA "HUB4" Project on continuous speech recognition in the broadcast domain. The speech files are available in a 19 disc training data set with one additional disc of development data and an additional disc of evaluation data. The following programs are represented in this corpus: </p><li>ABC Nightline </li><li>ABC World Nightly News </li><li>ABC World News Tonight </li><li>CNN Early Edition </li><li>CNN Early Prime News </li><li>CNN Headline News </li><li>CNN Prime Time News </li><li>CNN The World Today </li><li>CSPAN Washington Journal </li><li>NPR All Things Considered </li><li>NPR Marketplace <h3>Data</h3> <p>Transcripts have been made of all recordings in this publication, manually time aligned to the phrasal level, annotated to identify boundaries between news stories, speaker turn boundaries and gender information about the speakers. The released version of the transcripts is in SGML format and there is accompanying documentation and an SGML DTD file, included with the transcription release. The transcripts are available via FTP. </p> <h3>Updates</h3> There are no updates at this time. <h3>Samples</h3> <ul> <li><a href="./desc/addenda/LDC97T22.txt" rel="nofollow">Text</a></li> </ul> <h3>Pricing</h3> <p>The Reduced Licensing Fee for this corpus is US$100.</p> </li></br>
DOI: 10.35111/v4nb-t633
title: COMLEX English Syntax Lexicon

description: <h3>Introduction</h3> <p>This is a moderately broad coverage English lexicon (with about 38,000 lemmas) developed at New York University under LDC sponsorship. It contains detailed information about the syntactic characteristics of each lexical item and is particularly detailed in its treatment of subcategorization (complement structures). </p><h3>Data</h3> <p>In the current dictionary, nouns have nine possible features and nine possible complements; adjectives have seven features and 14 complements; verbs have five features and 92 complements. The entries for 750 frequent verbs contain 100 tags each, where a tag includes: a pointer to an instance of that verb in a corpus and the subcategorization appropriate for that instance. </p><p>Some references for the syntax and semantics work: </p><p>Ralph Grishman, Catherine Macleod and Adam Meyers. Comlex syntax: Building a computational lexicon. Proc. 15th Int'l Conf. Computational Linguistics (COLING 94), Kyoto, Japan, August 1994. </p><p>Macleod, Catherine, Adam Meyers and Ralph Grishman. The Influence of Tagging on the Classification of Lexical Complements. Proc. 16th Int'l Conf. Computational Linguistics (COLING 96), Copenhagen, Denmark, August 1996. </p><p>Here is a <a href="desc/addenda/LDC98L21_eg.gif" rel="nofollow">sample page </a> from the lexicon. </p><h3>Updates</h3> There are no updates at this time.</br>
Portions © 1998 Trustees of the University of Pennsylvania
DOI: 10.35111/xk0c-xj95
title: HTIMIT

description: <h3>Introduction</h3><br>
<p>The HTIMIT corpus is a re-recording of a subset of the TIMIT corpus through different telephone handsets. The aim was to create a corpus for the study of telephone transducer effects on speech which minimized confounding factors, such as variable telephone channels and background noise. HTIMIT was created by playing ten TIMIT sentences from 192 male and 192 females through a stereo loudspeaker into different transducers positioned directly in front of the loudspeaker and digitizing the output from the transducers. Ten (10) transducers (telephone handsets) were used. Most of these were not new; handsets with obvious damage were not used, but in order to obtain some diversity with a limited number of handsets, handsets were selected to have variable sound characteristics, transducer designs or, in the case of electrets, different grill designs. Further information about the handsets is provided in the corpus documentation.</p><br>
<h3>Data</h3><br>
<p>The collection procedure was not ideal with respect to realism of sound transduction, but it does allow for the collection of speech from a large number of speakers repeating identical speech on each instance. Furthermore, coupled with the phonetic markings from the original TIMIT corpus, HTIMIT offers the ability to study handset transducer effects on speech recognition systems.</p><br>
<p>To address the realism of the sound transduction in HTIMIT, a second corpus using the same handsets but with live people speaking into the handsets is also available. This corpus is called the Lincoln Laboratory Handset Database (LLHDB) <a href="../../../LDC98S68">LDC98S68</a>.</p><br>
<h3>Updates</h3><br>
<p>There are no updates at this time.</p></br>
DOI: 10.35111/vv56-tp02
title: LLHDB

description: <h3>Introduction</h3><br>
<p>LLHDB consists of recordings of people speaking into ten different telephone handsets. The aim was to create a corpus for the study of telephone transducer effects on speech which minimized confounding factors, such as variable telephone channels and background noise. LLHDB was created by having volunteers speak prompted and extemporaneous speech into different transducers in a sound-proof room and directly digitizing the output from the transducers on a SunSparc A/D at a 8kHz sampling rate and a 16-bit resolution.</p><br>
<h3>Data</h3><br>
<p>There were three types of speech recorded for each handset. First, the speaker read the "rainbow passage" [Nolan 83], a 97 word passage sometimes used in phonetic research. Second, the speaker read ten sentences extracted from TIMIT (<a href="../../../LDC93S1">LDC93S1</a>). Finally, the speaker was asked to describe a photograph for approximately 40 seconds (a different photograph was used for each handset). LLHDB contains speech from 53 speakers (24 males and 29 females) recruited from the laboratory.</p><br>
<p>Because the same handsets are used in both HTIMIT (<a href="../../../LDC98S67">LDC98S67</a>) and LLHDB, it is possible to compare the effects of the two different recording methods.</p><br>
<h3>Updates</h3><br>
<p>Relative to the original CD-ROMs produced in 1998 by the Linguistic Data Consortium, the extension of the audio files was changed from ".wav" to ".sph."</p></br>
Portions © 1998 MIT Lincoln Laboratory, © 1993, 1998 Trustees of the University of Pennsylvania
DOI: 10.35111/69dn-5z94
title: HUB5 Mandarin Telephone Speech Corpus

description: <p>LDC98S69 - Speech data <a href="http://catalog.ldc.upenn.edu/LDC98T26" rel="nofollow">LDC98T26</a> - Transcripts</p><br>
<h3>Introduction</h3><br>
<p>This release of HUB5 Mandarin training data consists of 42 calls derived from the CALLFRIEND Mandarin Chinese Mainland Dialect (Language ID) collection. The transcribed data is intended as additional training data in support of the project on Large Vocabulary Conversational Speech Recognition (LVCSR), also sponsored by the U.S. Department of Defense. The transcripts cover a contiguous 5-30 minute segment taken from a recorded conversation lasting up to 30 minutes. </p><br>
<p>LDC has released HUB5 Mandarin Telephone Speech and Transcripts Second Edition (<a href="../../../LDC2018S18">LDC2018S18</a>), which combines the speech and transcripts and make some updates to the release. See catalog entry for more details.</p><br>
<h3>Data</h3><br>
<p>Speakers were solicited by the LDC to participate in this telephone speech collection effort via the internet, publications (advertisements) and personal contacts. A total of 200 call originators were found, each of whom placed a telephone call via a toll-free robot operator maintained by the LDC. Access to the robot operator was possible via a unique Personal Identification Number (PIN) issued by the recruiting staff at the LDC when the caller enrolled in the project. The participants were made aware that their telephone call would be recorded, as were the call recipients. The call was allowed only if both parties agreed to being recorded. Each caller was allowed to talk up to 30 minutes. Upon successful completion of the call, the caller was paid $20 (in addition to making a free long-distance telephone call). Each caller was allowed to place only one telephone call. They were given no guidelines concerning what they should talk about. Once a caller was recruited to participate, he/she was given a free choice of whom to call. Most participants called family members or close friends. All calls originated in North America and were placed to various locations within North America.</p><br>
<h3>Updates</h3><br>
<p>There are no updates at this time.</p></br>
Portions © 1998 Trustees of the University of Pennsylvania
DOI: 10.35111/24rp-wv45
title: HUB5 Spanish Telephone Speech Corpus

description: LDC98S70 - Speech data <a href="http://catalog.ldc.upenn.edu/LDC98T27" rel="nofollow">LDC98T27</a> - Transcripts <h3>Introduction</h3> <p>This release of HUB5 Spanish training data consists of 106 calls derived from the <a href="/Catalog/docs/LDC98S70/index.html" rel="nofollow">CALLFRIEND</a> Spanish (Language ID) collection. The transcripts cover a contiguous 10-30 minute segment taken from a recorded conversation lasting up to 30 minutes. These calls were originally collected by the LDC in support of the project on Language Recognition, sponsored by the U.S. Department of Defense. All of these calls are being designated as additional training data for the project on Large Vocabulary Conversational Speech Recognition (LVCSR) in Spanish. </p><h3>Data</h3> <p>Speakers were solicited by the LDC to participate in this telephone speech collection effort via the internet, publications (advertisements) and personal contacts. A total of 200 call originators were found, each of whom placed a telephone call via a toll-free robot operator maintained by the LDC. Access to the robot operator was possible via a unique Personal Identification Number (PIN) issued by the recruiting staff at the LDC when the caller enrolled in the project. </p><p>Once a caller was recruited to participate, he/she was given a free choice of whom to call. Recruits were given no guidelines concerning what they should talk about. Most participants called family members or close friends. All calls originated in North America and were placed to various locations within North America, Puerto Rico or the Dominican Republic. The participants were made aware that their telephone call would be recorded, as were the call recipients. The call was allowed only if both parties agreed to being recorded. Each caller was allowed to talk up to 30 minutes. Upon successful completion of the call, the caller was paid $20 (in addition to making a free long-distance telephone call). Each caller was allowed to place only one telephone call. </p><p>HUB5 Spanish speech and transcript data may be obtained by contacting the <a rel="nofollow">LDC</a> </p><h3>Updates</h3> There are no updates at this time. </br>
DOI: 10.35111/q5w8-6v93
title: 1997 English Broadcast News Speech (HUB4)

description: <p>LDC98S71 - Speech data <a href="http://catalog.ldc.upenn.edu/LDC98T28" rel="nofollow">LDC98T28</a> - Transcripts</p><br>
<h3>Introduction</h3><br>
<p>This release contains a total of 97 hours of recordings from radio and television news broadcasts, gathered between June 1997 and February 1998. It has been prepared to serve as a supplement to the 1996 Broadcast News Speech collection (consisting of over 100 hours of similar recordings). The primary motivation for this collection is to provide additional training data for the DARPA "HUB4" Project on continuous speech recognition in the broadcast domain.</p><br>
<h3>Data</h3><br>
<p>Transcripts have been made of all recordings in this publication, manually time aligned to the phrasal level, annotated to identify boundaries between news stories, speaker turn boundaries and gender information about the speakers. The transcription conventions are described in the file "transcrp.doc" -- please note that this file describes the transcription methods by reference to text formatting conventions used internally by the LDC during the transcription process. The released version of the transcripts is in SGML format, comparable to the format that was used in the 1996 Broadcast News Speech transcriptions and there is accompanying documentation and an SGML DTD file, included with the transcription release.</p><br>
<h3>Updates</h3><br>
<p>There are no updates at this time.</p><br>
<h3>Additional Licensing Instructions</h3><br>
<p>This 'members-only' corpora is available to current members who can request the data at the listed reduced-license fee. Contact <a href="mailto:ldc@ldc.upenn.edu">ldc@ldc.upenn.edu</a> for information about becoming a member.</p></br>
Portions © 1997-1998 American Broadcasting Company, Inc., Cable News Network LP, LLLP, National Public Radio, Inc., National Satellite Cable Corporation, © 1998 Trustee of the University of Pennsylvania