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FloDusTA | [] | https://huggingface.co/datasets/arbml/FloDusTA_Dust_Storm | https://github.com/BatoolHamawi/FloDusTA | CC BY 4.0 | 2,020 | ar | ar-SA: (Arabic (Saudi Arabia)) | social media | text | crawling and annotation(other) | FloDusTA is a dataset of annotated tweets collected for the purpose of developing an event detection system. The dataset contains tweets written in both the MSA and Saudi dialect. Labels are: flood, dust storm, traffic accident, and non-event. | 8,998 | sentences | Medium | Umm Al-Qura University - Saudi Arabia | nan | FloDusTA: Saudi Tweets Dataset for Flood, Dust Storm, and Traffic Accident Events | https://aclanthology.org/2020.lrec-1.174.pdf | Arab | No | GitHub | Free | nan | No | Event detection | LREC | 2.0 | conference | Language Resources and Evaluation Conference | Btool Hamoui, Mourad Mars, Khaled Almotairi | Umm Al-Qura University - Saudi Arabia | The rise of social media platforms makes it a valuable information source of recent events and users’ perspective towards them. Twitter has been one of the most important communication platforms in recent years. Event detection, one of the information extraction aspects, involves identifying specified types of events in the text. Detecting events from tweets can help to predict real-world events precisely. A serious challenge that faces Arabic event detection is the lack of Arabic datasets that can be exploited in detecting events. This paper will describe FloDusTA, which is a dataset of tweets that we have built for the purpose of developing an event detection system. The dataset contains tweets written in both Modern Standard Arabic and Saudi dialect. The process of building the dataset starting from tweets collection to annotation by human annotators will be present. The tweets are labeled with four labels: flood, dust storm, traffic accident, and non-event. The dataset was tested for classification and the result was strongly encouraging.
| Mourad Mars |
Naim Mhedhbi Tunisian Dialect Corpus v0 | [] | nan | https://www.kaggle.com/datasets/naim99/ts-naim-mhedhbi | unknown | 2,021 | ar | ar-TN: (Arabic (Tunisia)) | social media | text | crawling and annotation(other) | I have collected more than 40000 comments and posts from facebook. I labeled about 10000 comments (positive / negative/ neutral) You can use it for your researches ! Enjoy :) | 40,000 | sentences | Medium | nan | nan | nan | nan | Arab | No | kaggle | Free | nan | No | sentiment analysis | nan | nan | nan | nan | Naim Mhedhbi | nan | nan | Kamel GAANOUN |
PAN Arabic Intrinsic Plagiarism Detection Shared Task Corpus | [] | nan | https://zenodo.org/record/6609196#.YqTYvNrMLIV | CC BY 4.0 | 2,015 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | wikipedia | text | crawling and annotation(other) | Each part of the corpus (training and test) consists mainly of 2 datasets: textual files and XML files. The textual files represent the suspicious documents i.e., the documents that contain artificial plagiarism; and the XML files are the plagiarism annotation i.e. they provide for each plagiarized passage its starting offset in the suspicious document and its length (offset and length are both expressed in characters). A suspicious document file and its plagiarism annotation file share the same name. | 2,048 | documents | nan | MISC Lab. Constantine 2 university,PRHLT, Universitat Politècnica de València, | nan | A New Corpus for the Evaluation of Arabic Intrinsic Plagiarism Detection. | https://link.springer.com/chapter/10.1007/978-3-642-40802-1_6 | Arab | No | zenodo | Free | nan | Yes | plagiarism detection | CLEF 2013 | nan | conference | International Conference of the Cross-Language Evaluation Forum for European Languages | Imene Bensalem, Paolo Rosso, Salim Chikhi | ¹MISC Lab. Constantine 2 university, Algeria PRHLT, Universitat Politècnica de València, Spain | The present paper introduces the first corpus for the evaluation of Arabic intrinsic plagiarism detection. The corpus consists of 1024 artificial suspicious documents in which 2833 plagiarism cases have been inserted automatically from source documents. | Kamel GAANOUN |
A Corpus of Arabic Literature (19-20th centuries) for Stylometric Tests | [] | https://huggingface.co/datasets/arbml/Arabic_Literature | https://zenodo.org/record/5772261#.YqTaodrMLIV | CC BY 4.0 | 2,021 | ar | ar-CLS: (Arabic (Classic)) | books | text | crawling | The dataset contains three collections of mainly literary Arabic texts from the 19th and early 20th centuries. corpus022_JurjiZaydan_Dated is a dated corpus of 22 historical novels by Jurjī Zaydān. It is well established that Jurjī Zaydān was publishing roughly one novel per year and the dates of publication are well known, which makes this corpus a valuable material for testing chronological changes in the style of individual writers. corpus065 is a corpus of 65 books by 8 authors; corpus300 contains 300 books by 28 authors; | 387 | documents | nan | nan | nan | nan | nan | Arab | No | zenodo | Free | nan | No | stylometric tests | nan | nan | nan | nan | Romanov Maxim | nan | nan | Kamel GAANOUN |
BBN/AUB DARPA Babylon Levantine Arabic Speech and Transcripts | [] | nan | https://catalog.ldc.upenn.edu/LDC2005S08 | LDC User Agreement | 2,005 | ar | ar-LEV: (Arabic(Levant)) | transcribed audio | spoken | other | BBN/AUB DARPA Babylon Levantine Arabic Speech and Transcripts was developed by BBN Technologies and contains 60.6 hours of spontaneous speech recorded from subjects speaking Levantine colloquial Arabic and associated transcripts. Levantine Arabic is the dialect of Arabic spoken in Lebanon, Jordan, Syria, and Palestine. It is significantly different from Modern Standard Arabic. It is a spoken rather than a written language, and includes different words and pronounciations from Modern Standard Arabic. | 60.6 | hours | nan | BBN Technologies | nan | nan | nan | Arab | No | LDC | With-Fee | 2,500 $ | No | machine translation, speech recognition, spoken dialogue systems | nan | nan | nan | nan | BBN Technologies (with American University of Beirut a subcontractor), John Makhoul, Bushra Zawaydeh, Frederick Choi, David Stallard | nan | nan | Kamel GAANOUN |
PhonBank Arabic Kuwaiti Corpus | [] | nan | https://phon.talkbank.org/access/Other/Arabic/Kuwaiti.html | unknown | 2,015 | ar | ar-KW: (Arabic (Kuwait)) | other | spoken | other | The data collection took place in Kuwait. A total of 70 children, in groups of ten, were sampled from the general Kuwaiti population. Residents of Kuwait originating from neighbouring countries were excluded. The subjects were randomly selected from variable ethnic backgrounds and social classes, concentrating on inner city population. The sample was divided into seven gender- balanced subgroups with the following age ranges: 1;4-1;7, 1;8-1;11, 2;0-2;3, 2;4-2;7, 2;8-2:11, 3;0-3;3 and 3;4-3;7. Spontaneous speech sample was audio and video recorded on a single occasion. The parent was instructed to interact spontaneously with his or her child for 30 minutes. A set of rubber toys and picture books were made available during all recording sessions. The parent/child spontaneous interaction was digitally recorded with an Edirol R-09HR Handheld SD Recorder and a Shure PG14/PG185 Lavalier wireless microphone system attached to a custom made vest and connected wirelessly to the recorder. The vest was made to hold the microphone transmitter on the child’s back and the lavalier microphone was attached approximately 10-15 centimetres below the child’s chin. | nan | hours | nan | nan | nan | Early Phonological Acquisition by Kuwaiti Arabic Children | https://core.ac.uk/download/pdf/153779285.pdf | Arab | No | other | Free | nan | No | speech recognition | nan | nan | nan | nan | Shaima AlQattan, Ghada Khattab | Shaikh Salem Al-Ali Centre,Newcastle University | This is the first exploration of typical phonological development in the speech of children acquiring Kuwaiti-Arabic (KA) before the age of 4;0. In many of the word’s languages, salient aspects of the ambient language have been shown to influence the child’s initial progress in language acquisition (Vihman, 1996, 2014); however, studies of phonological development of Arabic lack adequate information on the extent of the influence of factors such as frequency of occurrence of certain features and their phonological salience on the early stages of speech acquisition. A cross-sectional study design was adapted in this thesis to explore the speech of 70 typically developing children. The children were sampled from the Arabic-speaking Kuwaiti population; the children were aged 1;4 and 3;7 and gender-balanced. Spontaneous speech samples were obtained from audio and video recordings of the children while interacting with their parent for 30-minutes. The production accuracy of KA consonants was examined to explore the influence of type and token frequencies on order of consonant acquisition and the development of error patterns. The sonority index was also used to predict the order of consonant acquisition cross-linguistically. The findings were then compared with those of other dialects of Arabic to identify within-language variability and with studies on English to address cross-linguistic differences between Arabic and English early phonological development. The results are partially consistent with accounts that argue for a significant role of input frequency in determining rate and order of consonant acquisition within a language. The development of KA error patterns also shows relative sensitivity to consonant frequency. The sonority index does not always help in the prediction of all Arabic consonants, and the developmental error patterns and early word structures in Arabic and English are significantly distinct. The outcomes of this study provide essential knowledge about typical Arabic phonological development and the first step towards building a standardised phonological test for Arabic speaking children. | Kamel GAANOUN |
CHILDES Egyptian Arabic Salama Corpus | [] | nan | https://childes.talkbank.org/access/Other/Arabic/Salama.html | unknown | 2,015 | ar | ar-EG: (Arabic (Egypt)) | transcribed audio | spoken | other | Participants The Egyptian Arabic corpus includes data from ten children. Five boys and five girls were selected randomly with no language delay from a nursery in Alexandria. All children were normal and their first language is Arabic. The children ranged in age from 1;7 to 3;8 years (mean age2.77) studied cross-sectionally. 7 Children were visited in their kindergarten and 3 children at their home. The total number of utterances for all 10 children is 25,645. The adult part of the corpus contains 14,868 adult utterances 2,518 from the mother, 12,350 from the investigator and, 10,777 from children.. Data Collection A speech sample was collected based on spontaneous speech in unstructured interview. Data were elicited through conversation, naming objects, pictures around the child in his/her environment and use anything that children normally use rather than something new, and describe what they were doing while playing. We encourage natural interaction to include all styles, such as sitting with a child in the class, playing with the child, interacting with a mother, and/or teacher during the interaction and teaching process. The interview is increasingly semi-structured when a child is able to produce morphemes: for example, when a child produces a singular noun, the investigator, and/or a mother asked him about plural competence. Data was collected from 6 children in a nursery by the investigator, one child at home with a mother and an investigator, and 2 children at home by mothers. Audio recording of spontaneous speech produced by children is obtained in natural settings, in a child home or a kindergarten. | nan | hours | nan | Alexandria University | nan | Building a spoken Arabic corpus for Egyptian children: data collection and transcription. Master's thesis. Alexandria University. | https://www.academia.edu/44521353/Building_a_spoken_Arabic_corpus_for_Egyptian_children_Data_collection_and_transcription | Latn | No | other | Free | nan | No | speech recognition | nan | nan | nan | nan | Heba Salama | Alexandria University | nan | Kamel GAANOUN |
Levantine Arabic QT Training Data Set 4 (Speech + Transcripts) | [] | nan | https://catalog.ldc.upenn.edu/LDC2005S14 | LDC User Agreement | 2,005 | ar | ar-LEV: (Arabic(Levant)) | transcribed audio | spoken | other | Levantine Arabic QT Training Data Set 4 (Speech + Transcripts) was developed by the Linguistic Data Consortium (LDC) and contains approximately 138 hours of conversational telephone speech in Levantine Arabic and the associated transcripts. | 138 | hours | nan | Linguistic Data Consortium (LDC) | nan | nan | nan | Arab | No | LDC | With-Fee | 3,000$ | No | Speech to text, text to speech | nan | nan | nan | nan | Mohamed Maamouri, Tim Buckwalter, Hubert Jin | nan | nan | Kamel GAANOUN |
MARSA: Multi-Domain Arabic Resources for Sentiment Analysis | [] | nan | mailto:Sohumoud@imamu.edu.sa | CC BY 4.0 | 2,021 | ar | ar-GLF: (Arabic (Gulf)) | social media | text | crawling and annotation(other) | MARSA—the largest sentiment annotated corpus for Dialectal Arabic (DA) in the Gulf region, which consists of 61,353 manually labeled tweets that contain a total of 840 K tokens. The tweets were collected from trending hashtags in four domains: political, social, sports, and technology to create a multi-domain corpus. | 61,353 | sentences | Medium | nan | nan | MARSA: Multi-Domain Arabic Resources for Sentiment Analysis | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9576756 | Arab | No | other | Upon-Request | nan | No | sentiment analysis | nan | nan | nan | nan | Areeb Alowisheq,Nora Al-Twairesh,Mawaheb Altuwaijri,Afnan Almoammar,Alhanouf Alsuwailem,Tarfa Albuhairi,Wejdan Alahaideb,Sarah Alhumoud | nan | nan | Aljoharah R |
Dataset for evaluating root extraction | [] | https://huggingface.co/datasets/arbml/root_extraction_vaidation | https://github.com/arabic-digital-humanities/root-extraction-validation-data | CC BY 4.0 | 2,018 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | This dataset contains data to evaluate the roots extracted by Arabic stemmers and morphological analyzers. | 2,962 | tokens | Low | nan | OpenITI project | nan | nan | Arab | No | GitHub | Free | nan | No | lemmatization | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Corpora for Egyptian Arabic and Gulf Arabic from Twitter | [
{
"Name": "GLF",
"Dialect": "ar-GLF: (Arabic (Gulf))",
"Volume": "150,000",
"Unit": "sentences"
},
{
"Name": "EGY",
"Dialect": "ar-EG: (Arabic (Egypt))",
"Volume": "150,000",
"Unit": "sentences"
}
] | nan | https://github.com/telsahy/capstone-34 | unknown | 2,018 | ar | mixed | social media | text | crawling and annotation(other) | An evenly balanced dataset of Arabic dialects, Egyptian and Gulf using a variety of dialectal terms. | 300,000 | sentences | Medium | nan | nan | Building Datasets for Dialect Classifiers using Twitter | https://github.com/telsahy/capstone-34/blob/master/Building%20Datasets%20for%20Arabic%20Dialect%20Classifiers%20using%20Twitter.pdf | Arab | No | GitHub | Free | nan | No | dialect identification | nan | nan | preprint | nan | Tamir ElSahy | nan | nan | Zaid Alyafeai |
Arabic tweets about infectious diseases | [] | https://huggingface.co/datasets/arbml/tweets_infectious_diseases | http://www.research.lancs.ac.uk/portal/en/datasets/arabic-tweets-about-infectious-diseases(68b307a8-510b-42f6-93af-f0cc7d9a75a1).html | custom | 2,019 | ar | mixed | social media | text | crawling and annotation(other) | This file contains a dataset of 1266 tweets by two Arabic native speakers into five types of sources: academic, media, government, health professional, and public. | 1,266 | sentences | High | Lancaster University | nan | nan | nan | Arab | No | other | Free | nan | No | topic classification | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
2006 CoNLL Shared Task - Arabic & Czech | [] | nan | https://catalog.ldc.upenn.edu/LDC2015T12 | LDC User Agreement | 2,006 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | news articles | text | other | 2006 CoNLL Shared Task - Arabic & Czech consists of Arabic and Czech dependency treebanks used as part of the CoNLL 2006 shared task on multi-lingual dependency parsing. | nan | tokens | Low | LDC | PADT | nan | nan | Arab-Latn | No | LDC | Free | nan | No | syntactic parsing | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
BOLT Egyptian Arabic Co-reference -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech | [] | nan | https://catalog.ldc.upenn.edu/LDC2021T14 | LDC User Agreement for Non-Members | 2,021 | ar | ar-EG: (Arabic (Egypt)) | commentary | text | other | DF data was collected from the web using a combination of manual and automatic processes. SMS/Chat material was donated or collected via live platforms. CTS data was taken from LDC's Egyptian Arabic CALLHOME and CALLFRIEND telephone collections. | nan | sentences | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,250.00 $ | No | coreference resolution | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
BOLT Egyptian Arabic PropBank and Sense -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech | [] | nan | https://catalog.ldc.upenn.edu/LDC2021T18 | LDC User Agreement for Non-Members | 2,021 | ar | ar-EG: (Arabic (Egypt)) | commentary | text | other | DF data was collected from the web using a manual process. SMS/Chat material was donated or collected via live platforms. CTS data was taken from LDC's Egyptian Arabic CALLHOME and CALLFRIEND telephone collections. | nan | sentences | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 300.00 $ | No | entity extraction,part of speech tagging,question-answering,semantic role labelling | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
BOLT Egyptian Arabic SMS/Chat Parallel Training Data | [] | nan | https://catalog.ldc.upenn.edu/LDC2021T15 | LDC User Agreement for Non-Members | 2,021 | multilingual | ar-EG: (Arabic (Egypt)) | other | text | other | The source data in this release was collected using two methods: new collection via LDC's collection platform, and donation of SMS or chat archives from BOLT collection participants. All data were reviewed manually to exclude any messages/conversations that were not in the target language or that had sensitive content, such as personal identifying information. | 723,000 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
BOLT Egyptian Arabic Treebank - Conversational Telephone Speech | [] | nan | https://catalog.ldc.upenn.edu/LDC2021T12 | LDC User Agreement for Non-Members | 2,021 | ar | ar-EG: (Arabic (Egypt)) | transcribed audio | text | other | This release contains 153,171 tokens before clitics were split and 182,965 tree tokens after clitics were split for treebank annotation. The source data was selected from conversational telephone speech collected by LDC for the CALLHOME project that was transcribed and segmented into sentence units. | 153,171 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | information retrieval,information detection,machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
BOLT Egyptian Arabic Treebank - SMS/Chat | [] | nan | https://catalog.ldc.upenn.edu/LDC2021T17 | LDC User Agreement for Non-Members | 2,021 | ar | ar-EG: (Arabic (Egypt)) | other | text | other | This release contains 349,414 tokens before clitics were split and 435,677 tree tokens after clitics were split for treebank annotation. The source data was collected by LDC from its collection platform or by donation and was manually reviewed to exclude material not in the target language or with sensitive content. Originally written in Arabizi (or Romanized/Latin characters) script, the source data was transliterated to Arabic script and manually corrected prior to treebank annotation. | 349,414 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 3,500.00 $ | No | information retrieval,information detection,machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Classical Arabic Dictionary | [] | nan | https://catalog.ldc.upenn.edu/LDC2021L01 | LDC User Agreement for Non-Members | 2,021 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | web pages | text | other | The dictionary is presented in three formats: plain text in UTF-8 encoding, plain text in CP1256 encoding, and as an SQL database file. Source documents are presented in UTF-8 and CP1256 encodings. | nan | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 250.00 $ | No | information retrieval,historical linguistics,language generation,language modeling,morphology | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
BOLT Egyptian Arabic-English Word Alignment -- Conversational Telephone Speech Training | [] | nan | https://catalog.ldc.upenn.edu/LDC2020T05 | LDC User Agreement for Non-Members | 2,020 | multilingual | ar-EG: (Arabic (Egypt)) | transcribed audio | text | other | The source data in this release consists of transcripts of Egyptian Arabic conversational telephone speech (CTS) from LDC's CALLHOME and CALLFRIEND collections (LDC97S45, LDC97T19, LDC2002S37, LDC2002T38, LDC96S49) that were translated into English by professional translation agencies and annotated for the word alignment task. | 20,010 | sentences | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | information retrieval,machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Phonemes of Arabic | [] | nan | https://catalog.ldc.upenn.edu/LDC2020S13 | LDC User Agreement for Non-Members | 2,020 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | transcribed audio | spoken | other | Arabic has three short vowels, three long vowels and 28 consonants. Speakers recorded all sounds and repeated each sound three times. Each speaker also recorded 24 Arabic words with a specified consonant-vowel pattern and repeated each word three times. | 1 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 250.00 $ | No | speech recognition,language identification | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
BOLT Arabic Discussion Forum Parallel Training Data | [] | nan | https://catalog.ldc.upenn.edu/LDC2019T01 | LDC User Agreement for Non-Members | 2,019 | multilingual | ar-EG: (Arabic (Egypt)) | commentary | text | other | The source data in this release consists of discussion forum threads harvested from the Internet by LDC using a combination of manual and automatic processes. The full source data collection is released as BOLT Arabic Discussion Forums (LDC2018T10). | 2,651 | documents | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
BOLT Egyptian Arabic-English Word Alignment -- SMS/Chat Training | [] | nan | https://catalog.ldc.upenn.edu/LDC2019T18 | LDC User Agreement for Non-Members | 2,019 | multilingual | ar-EG: (Arabic (Egypt)) | other | text | other | This release consists of Egyptian Arabic source text message and chat conversations collected using two methods: new collection via LDC's collection platform, and donation of SMS or chat archives from BOLT collection participants. The source data is released as BOLT Egyptian Arabic SMS/Chat and Transliteration (LDC2017T07). | 475,665 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | information retrieval,machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
CALLFRIEND Egyptian Arabic Second Edition | [] | nan | https://catalog.ldc.upenn.edu/LDC2019S04 | LDC User Agreement for Non-Members | 2,019 | ar | ar-EG: (Arabic (Egypt)) | transcribed audio | spoken | other | All data was collected before July 1997. Participants could speak with a person of their choice on any topic; most called family members and friends. All calls originated in North America. The recorded conversations last up to 30 minutes. | 0.5 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,000.00 $ | No | language identification | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Multi-Language Conversational Telephone Speech 2011 -- Arabic Group | [
{
"Name": "iraqi",
"Dialect": "ar-IQ: (Arabic (Iraq))",
"Volume": "37.4",
"Unit": "hours"
},
{
"Name": "levantine",
"Dialect": "ar-LEV: (Arabic(Levant))",
"Volume": "41.1",
"Unit": "hours"
},
{
"Name": "maghrebi",
"Dialect": "ar-MA: (Arabic (Morocco))",
"Volume": "38.6",
"Unit": "hours"
}
] | nan | https://catalog.ldc.upenn.edu/LDC2019S02 | LDC User Agreement for Non-Members | 2,019 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | transcribed audio | spoken | other | Participants were recruited by native speakers who contacted acquaintances in their social network. Those native speakers made one call, up to 15 minutes, to each acquaintance. The data was collected using LDC's telephone collection infrastructure, comprised of three computer telephony systems. Human auditors labeled calls for callee gender, dialect type and noise. Demographic information about the participants was not collected. | 37.4 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 2,500.00 $ | No | language identification | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
2007 CoNLL Shared Task - Arabic & English | [] | nan | https://catalog.ldc.upenn.edu/LDC2018T08 | LDC User Agreement for Non-Members | 2,018 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | news articles | text | other | The source data in the treebanks in this release consists principally of various texts (e.g., textbooks, news, literature) annotated in dependency format. In general, dependency grammar is based on the idea that the verb is the center of the clause structure and that other units in the sentence are connected to the verb as directed links or dependencies. This is a one-to-one correspondence: for every element in the sentence there is one node in the sentence structure that corresponds to that element. In constituency or phrase structure grammars, on the other hand, clauses are divided into noun phrases and verb phrases and in each sentence, one or more nodes may correspond to one element. The Penn Treebank (LDC99T42) is an example of a constituency or phrase structure approach. All of the data sets in this release are dependency treebanks. | nan | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | Upon-Request | nan | No | syntactic parsing | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
BOLT Egyptian Arabic Treebank - Discussion Forum | [] | nan | https://catalog.ldc.upenn.edu/LDC2018T23 | LDC User Agreement for Non-Members | 2,018 | ar | ar-EG: (Arabic (Egypt)) | commentary | text | other | This release contains 440,448 tokens before clitics were split and 508,548 tree tokens after clitics were split for treebank annotation. The source material is web discussion forums collected by LDC from various sources. | 440,448 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 4,500.00 $ | No | information detection,machine translation,information retrieval | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 4 Arabic Broadcast News Speech | [] | nan | https://catalog.ldc.upenn.edu/LDC2018S05 | LDC User Agreement for Non-Members | 2,018 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | spoken | other | The recordings in this release feature news broadcasts focusing principally on current events from the following sources: Abu Dhabi TV, a television station based in Abu Dhabi, United Arab Emirates; Al Arabiya, a news television station based in Dubai; Al Baghdadya , an Iraqi broadcast programmer; Alhurra, a U.S. government-funded regional broadcaster; Al Iraqiyah, an Iraqi television station; Aljazeera , a regional broadcaster located in Doha, Qatar; Al Ordiniyah, a national broadcast station in Jordan; Kuwait TV, a national broadcast station based in Kuwait; Radio Sawa, a U.S. government-funded regional broadcaster; Saudi TV, a national television station based in Saudi Arabia; Syria TV, the national television station in Syria; and Yemen TV, a television station based in Yemen. | 37 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,500.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 4 Arabic Broadcast News Transcripts | [] | nan | https://catalog.ldc.upenn.edu/LDC2018T14 | LDC User Agreement for Non-Members | 2,018 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | The transcript files are in plain-text, tab-delimited format (TDF) with UTF-8 encoding, and the transcribed data totals 204,735 tokens. The transcripts were created with the LDC tool XTrans, which supports manual transcription and annotation of audio recordings. XTrans is available from the following link, https://www.ldc.upenn.edu/language-resources/tools/xtrans/downloads. | 204,735 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 750.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
TRAD Arabic-French Parallel Text -- Newsgroup | [] | nan | https://catalog.ldc.upenn.edu/LDC2018T13 | LDC User Agreement for Non-Members | 2,018 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | This release consists of 398 segments (translation units) from 17 documents. The source data is Arabic newsgroup text collected and translated into English by the Linguistic Data Consortium for the DARPA GALE (Global Autonomous Language Exploitation) program. Information about the ELDA translation team, translation guidelines and validation results is contained in the documentation accompanying this release. | 398 | sentences | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 300.00 $ | No | language modeling,machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
TRAD Arabic-French Parallel Text -- Newswire | [] | nan | https://catalog.ldc.upenn.edu/LDC2018T21 | LDC User Agreement for Non-Members | 2,018 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | news articles | text | other | This release consists of 813 segments (translations units) from 74 documents. The source data is Arabic newswire text collected and translated into English by LDC. Information about the ELDA translation team, translation guidelines and validation results is contained in the documentation accompanying this release. | 813 | sentences | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 350.00 $ | No | language modeling,machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Arabic Speech Recognition Pronunciation Dictionary | [] | nan | https://catalog.ldc.upenn.edu/LDC2017L01 | LDC User Agreement for Non-Members | 2,017 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | news articles | text | other | The dictionary was developed from news archive resources, including the Arabic news website Aljazeera.net. The selected words were those that occurred more than once in the news collection. The text was processed using MADA. | 526,000 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 200.00 $ | No | language teaching,speech recognition,pronunciation modeling | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 3 Arabic Broadcast News Speech Part 2 | [] | nan | https://catalog.ldc.upenn.edu/LDC2017S02 | LDC User Agreement for Non-Members | 2,017 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | spoken | other | The recordings in this release feature news broadcasts focusing principally on current events from the following sources: Abu Dhabi TV, United Arab Emirates; Al Alam News Channel, based in Iran; Al Arabiya, a news television station based in Dubai; Al Iraqiyah, an Iraqi television station; Aljazeera, a regional broadcaster located in Doha, Qatar; Al-Manar TV, a broadcast programmer located in Lebanon; Al Ordiniyah, a national broadcast station in Jordan; Al Sharqiya, an Iraqi television station; Dubai TV, a broadcast station in the United Arab Emirates; Kuwait TV, a national broadcast station in Kuwait; Nile TV, a broadcast programmer based in Egypt; Oman TV, a national broadcaster located in the Sultanate of Oman; Saudi TV, a national television station based in Saudi Arabia; and Syria TV, the national television station in Syria. | 128 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 2,000.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 3 Arabic Broadcast News Transcripts Part 2 | [] | nan | https://catalog.ldc.upenn.edu/LDC2017T04 | LDC User Agreement for Non-Members | 2,017 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | The transcript files are in plain-text, tab-delimited format (TDF) with UTF-8 encoding, and the transcribed data totals 721,846 tokens. The transcripts were created with the LDC tool, XTrans, which supports manual transcription and annotation of audio recordings. XTrans is available from the following link, https://www.ldc.upenn.edu/language-resources/tools/xtrans. | 721,846 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,500.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 4 Arabic Broadcast Conversation Speech | [] | nan | https://catalog.ldc.upenn.edu/LDC2017S15 | LDC User Agreement for Non-Members | 2,017 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | spoken | other | The broadcast conversation recordings in this release feature interviews, call-in programs and roundtable discussions focusing principally on current events from the following sources: Al Alam News Channel, based in Iran; Al Fayhaa, an Iraqi television channel; Al Hiwar, a regional broadcast station based in the United Kingdom; Alnurra, a U.S. government-funded regional broadcaster; Aljazeera, a regional broadcaster located in Doha, Qatar; Al Ordiniyah, a national broadcast station in Jordan; Dubai TV, a broadcast station in the United Arab Emirates; Lebanese Broadcasting Corporation, a Lebanese television station; Saudi TV, a national television station based in Saudi Arabia; Syria TV, the national television station in Syria; and Tunisian National TV, a national television station in Tunisia. | 30,000 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,500.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 4 Arabic Broadcast Conversation Transcripts | [] | nan | https://catalog.ldc.upenn.edu/LDC2017T12 | LDC User Agreement for Non-Members | 2,017 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | The transcript files are in plain-text, tab-delimited format (TDF) with UTF-8 encoding, and the transcribed data totals 475,211 tokens. The transcripts were created with the LDC tool XTrans, which supports manual transcription and annotation of audio recordings. XTrans is available from the following link, https://www.ldc.upenn.edu/language-resources/tools/xtrans. | 475,211 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 750.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 3 and 4 Arabic Web Parallel Text | [] | nan | https://catalog.ldc.upenn.edu/LDC2016T08 | LDC User Agreement for Non-Members | 2,016 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | GALE Phase 3 and 4 Arabic Web Parallel Text includes 124 source-translation document pairs, comprising 61,662 tokens of Arabic source text and its English translation. Data is drawn from various Arabic weblog and newsgroup sources. | 61,662 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 3 Arabic Broadcast Conversation Speech Part 2 | [] | nan | https://catalog.ldc.upenn.edu/LDC2016S01 | LDC User Agreement for Non-Members | 2,016 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | spoken | other | The broadcast conversation recordings in this release feature interviews, call-in programs and roundtable discussions focusing principally on current events from the following sources: Abu Dhabi TV, a television station based in Abu Dhabi, United Arab Emirates; Al Alam News Channel, based in Iran; Al Arabiya, a news television station based in Dubai; Al Baghdadya, an Iraqi broadcast programmer based in Egypt; Al Fayha, an Iraqi television channel; Al Hiwar, a regional broadcast station based in the United Kingdom; Alhurra, a U.S. government-funded regional broadcaster; Aljazeera, a regional broadcaster located in Doha, Qatar; Al Ordiniyah, a national broadcast station in Jordan; Bahrain TV, a television station in the Kingdom of Bahrain; Dubai TV, a broadcast station in the United Arab Emirates; Kuwait TV, a national broadcast station in Kuwait; Oman TV, a national broadcaster located in the Sultanate of Oman ; Qatar TV, a broadcast programmer in Qatar; Saudi TV, a national television station based in Saudi Arabia; Syria TV, the national television station in Syria; and Tunisian National TV, a national television station in Tunisia. | 129 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 2,000.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 3 Arabic Broadcast Conversation Transcripts Part 2 | [] | nan | https://catalog.ldc.upenn.edu/LDC2016T06 | LDC User Agreement for Non-Members | 2,016 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | The transcript files are in plain-text, tab-delimited format (TDF) with UTF-8 encoding, and the transcribed data totals 845,791 tokens. The transcripts were created with the LDC tool, XTrans, which supports manual transcription and annotation of audio recordings. XTrans is available from the following link, https://www.ldc.upenn.edu/language-resources/tools/xtrans. | 845,791 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,500.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 3 Arabic Broadcast News Speech Part 1 | [] | nan | https://catalog.ldc.upenn.edu/LDC2016S07 | LDC User Agreement for Non-Members | 2,016 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | spoken | other | The broadcast news recordings in this release feature news broadcasts focusing principally on current events from the following sources: Abu Dhabi TV, a television station based in Abu Dhabi, Al Alam News Channel, based in Iran; Al Arabiya, a news television station based in Dubai; Al Iraqiyah, an Iraqi television station; Aljazeera , a regional broadcaster located in Doha, Qatar; Al Ordiniyah, a national broadcast station in Jordan; Dubai TV, a broadcast station in the United Arab Emirates; Kuwait TV, a national broadcast station in Kuwait; Lebanese Broadcasting Corporation, a Lebanese television station; Nile TV, a broadcast programmer based in Egypt, Saudi TV, a national television station based in Saudi Arabia; and Syria TV, the national television station in Syria. | 132 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 2,000.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 3 Arabic Broadcast News Transcripts Part 1 | [] | nan | https://catalog.ldc.upenn.edu/LDC2016T17 | LDC User Agreement for Non-Members | 2,016 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | The transcript files are in plain-text, tab-delimited format (TDF) with UTF-8 encoding, and the transcribed data totals 741,689 tokens. The transcripts were created with the LDC tool, XTrans, which supports manual transcription and annotation of audio recordings. XTrans is available from the following link, https://www.ldc.upenn.edu/language-resources/tools/xtrans. | 741,689 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,500.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 4 Arabic Broadcast Conversation Parallel Sentences | [] | nan | https://catalog.ldc.upenn.edu/LDC2016T11 | LDC User Agreement for Non-Members | 2,016 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | GALE Phase 4 Arabic Broadcast Conversation Parallel Sentences includes 170 source-translation document pairs, comprising 44,064 words (Arabic source) of translated data. Data is drawn from 45 distinct Arabic broadcast conversation (BC) sources. BC programming is more interactive than traditional broadcast news sources and may include talk shows, interviews, call-in programs and roundtables. | 44,064 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 4 Arabic Broadcast News Parallel Sentences | [] | nan | https://catalog.ldc.upenn.edu/LDC2016T20 | LDC User Agreement for Non-Members | 2,016 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | GALE Phase 4 Arabic Broadcast News Parallel Sentences includes 106 source-translation document pairs, comprising 114,251 words (Arabic source) of translated data. Data is drawn from 24 distinct Arabic programs featuring news broadcasts. | 114,251 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 4 Arabic Newswire Parallel Sentences | [] | nan | https://catalog.ldc.upenn.edu/LDC2016T27 | LDC User Agreement for Non-Members | 2,016 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | news articles | text | other | GALE Phase 4 Arabic Newswire Parallel Sentences includes 393 source-translation document pairs, comprising 62,669 words (Arabic source) of translated data. Data is drawn from six distinct Arabic newswire sources. | 62,669 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 4 Arabic Weblog Parallel Sentences | [] | nan | https://catalog.ldc.upenn.edu/LDC2016T14 | LDC User Agreement for Non-Members | 2,016 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | GALE Phase 4 Arabic Weblog Parallel Sentences includes 1,067 source-translation document pairs, comprising 68,346 words (Arabic source) of translated data. Data is drawn from various Arabic newsgroup and weblog sources. | 68,346 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 2 Arabic Broadcast News Speech Part 2 | [] | nan | https://catalog.ldc.upenn.edu/LDC2015S01 | LDC User Agreement for Non-Members | 2,015 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | spoken | other | The broadcast recordings in this release feature news programs focusing principally on current events from the following sources: Abu Dhabi TV, a television station based in Abu Dhabi, United Arab Emirates; Al Alam News Channel, based in Iran; Aljazeera , a regional broadcaster located in Doha, Qatar; Al Ordiniyah, a national broadcast station in Jordan; Dubai TV, based in Dubai, United Arab Emirates; Al Iraqiyah, a television network based in Iraq; Kuwait TV, a national television station based in Kuwait; Lebanese Broadcasting Corporation, a Lebanese television station; Nile TV, a broadcast programmer based in Egypt; Saudi TV, a national television station based in Saudi Arabia; and Syria TV, the national television station in Syria. | 170 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 2,000.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 2 Arabic Broadcast News Transcripts Part 2 | [] | nan | https://catalog.ldc.upenn.edu/LDC2015T01 | LDC User Agreement for Non-Members | 2,015 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | The transcript files are in plain-text, tab-delimited format (TDF) with UTF-8 encoding, and the transcribed data totals 920,730 tokens. The transcripts were created with the LDC-developed transcription tool, XTrans, a multi-platform, multilingual, multi-channel transcription tool that supports manual transcription and annotation of audio recordings. XTrans is available from the following link, https://www.ldc.upenn.edu/language-resources/tools/xtrans. | 920,730 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,500.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 3 and 4 Arabic Broadcast Conversation Parallel Text | [] | nan | https://catalog.ldc.upenn.edu/LDC2015T05 | LDC User Agreement for Non-Members | 2,015 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | GALE Phase 3 and 4 Arabic Broadcast Conversation Parallel Text includes 55 source-translation document pairs, comprising 280,535 words of Arabic source text and its English translation. Data is drawn from 22 distinct Arabic programs broadcast between 2006 and 2008 from Al Alam News Channel, based in Iran; Al Arabiya, a news television station based in Dubai; Al Baghdadya, an Iraqi broadcaster; Al Fayhaa, a television channel in Iraq; Al Hiwar TV, based on London, United Kingdom; Aljazeera, a regional broadcaster located in Doha, Qatar; Bahrain TV, based in the Kingdom of Bahrain; Nile TV, a broadcast programmer based in Egypt; Oman TV, a national broadcaster located in the Sultanate of Oman; Saudi TV, a national television station based in Saudi Arabia; and Syria TV, the national television station in Syria. Broadcast conversation programming is generally more interactive than traditional news broadcasts and includes talk shows, interviews, call-in programs and roundtables. | 280,535 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 3 and 4 Arabic Broadcast News Parallel Text | [] | nan | https://catalog.ldc.upenn.edu/LDC2015T07 | LDC User Agreement for Non-Members | 2,015 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | GALE Phase 3 and 4 Arabic Broadcast News Parallel Text includes 86 source-translation document pairs, comprising 325,538 words of Arabic source text and its English translation. Data is drawn from 28 distinct Arabic programs broadcast between 2007 and 2008 from Abu Dhabi TV, a television station based in Abu Dhabi, United Arab Emirates; Al Alam News Channel, based in Iran; Al Arabiya, a news television station based in Dubai; Al Baghdadya, an Iraqi broadcaster; Alhurra, a U.S.-government funded regional broadcaster; Al Iraqiyah, an Iraqi television station; Aljazeera, a regional broadcaster located in Doha, Qatar; Al Ordiniyah, a national broadcast station in Jordan; Al Sharqiya, an Iraqi broadcast programmer; Dubai TV, a broadcast station in the United Arab Emirates; Kuwait TV, a national broadcast station based in Kuwait; Lebanese Broadcasting Corporation, a Lebanese television station; Oman TV, a national broadcaster located in the Sultanate of Oman; Radio Sawa, a U.S.-government funded regional broadcaster; Saudi TV, a national television station based in Saudi Arabia; and Syria TV, the national television station in Syria. Broadcast news programming consists of news programs focusing principally on current events. | 325,538 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 3 and 4 Arabic Newswire Parallel Text | [] | nan | https://catalog.ldc.upenn.edu/LDC2015T19 | LDC User Agreement for Non-Members | 2,015 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | news articles | text | other | GALE Phase 3 and 4 Arabic Newswire Parallel Text includes 551 source-translation document pairs, comprising 156,775 tokens of Arabic source text and its English translation. Data is drawn from seven distinct Arabic newswire sources: Agence France Presse, Al Ahram, Al Hayat, Al-Quds Al-Arabi, An Nahar, Asharq Al-Awsat and Assabah. | 156,775 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 3 Arabic Broadcast Conversation Speech Part 1 | [] | nan | https://catalog.ldc.upenn.edu/LDC2015S11 | LDC User Agreement for Non-Members | 2,015 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | spoken | other | The broadcast conversation recordings in this release feature interviews, call-in programs and roundtable discussions focusing principally on current events from the following sources: Abu Dhabi TV, a television station based in Abu Dhabi, United Arab Emirates; Al Alam News Channel, based in Iran; Al Arabiya, a news television station based in Dubai; Aljazeera, a regional broadcaster located in Doha, Qatar; Al Ordiniyah, a national broadcast station in Jordan; Dubai TV, a broadcast station in the United Arab Emirates; Lebanese Broadcasting Corporation, a Lebanese television station; Oman TV, a national broadcaster located in the Sultanate of Oman; Saudi TV, a national television station based in Saudi Arabia; and Syria TV, the national television station in Syria. | 123 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 2,000.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 3 Arabic Broadcast Conversation Transcripts Part 1 | [] | nan | https://catalog.ldc.upenn.edu/LDC2015T16 | LDC User Agreement for Non-Members | 2,015 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | The transcript files are in plain-text, tab-delimited format (TDF) with UTF-8 encoding, and the transcribed data totals 733,233 tokens. The transcripts were created with the LDC-developed transcription tool, XTrans, a multi-platform, multilingual, multi-channel transcription tool that supports manual transcription and annotation of audio recordings. XTrans is available from the following link, https://www.ldc.upenn.edu/language-resources/tools/xtrans. | 733,233 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,500.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Arabic-English Parallel Aligned Treebank -- Broadcast News Part 2 | [] | nan | https://catalog.ldc.upenn.edu/LDC2014T03 | LDC User Agreement for Non-Members | 2,014 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | The source data consists of Arabic broadcast news programming collected by LDC in 2007 and 2008 from Al Arabiya, Abu Dhabi TV, Al Baghdadya TV, Al Fayha, Alhurra, Al Iraqiyah, Aljazeera, Al Ordiniyah, Al Sharqiya, Dubai TV, Oman TV, Radio Sawa and Saudi TV. All data is encoded as UTF-8. A count of files, words, tokens and segments is below. | 141,058 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation,information detection,cross-lingual information retrieval,information retrieval | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Arabic-English Parallel Aligned Treebank -- Web Training | [] | nan | https://catalog.ldc.upenn.edu/LDC2014T08 | LDC User Agreement for Non-Members | 2,014 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | web pages | text | other | Please view the following samples: | 69,766 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation,information detection,cross-lingual information retrieval,information retrieval | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Arabic-English Word Alignment -- Broadcast Training Part 1 | [] | nan | https://catalog.ldc.upenn.edu/LDC2014T19 | LDC User Agreement for Non-Members | 2,014 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | This release consists of Arabic source broadcast news and broadcast conversation data collected by LDC from 2007-2009. The distribution by genre, words, tokens and segments appears below: | 11,341 | sentences | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | information retrieval,information retrieval,machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Arabic-English Word Alignment -- Broadcast Training Part 2 | [] | nan | https://catalog.ldc.upenn.edu/LDC2014T22 | LDC User Agreement for Non-Members | 2,014 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | This release consists of Arabic source broadcast news and broadcast conversation data collected by LDC from 2007-2009. The distribution by genre, words, tokens and segments appears below: | 11,693 | sentences | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | information retrieval,information retrieval,machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Arabic-English Word Alignment Training Part 1 -- Newswire and Web | [] | nan | https://catalog.ldc.upenn.edu/LDC2014T05 | LDC User Agreement for Non-Members | 2,014 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | web pages | text | other | This release consists of Arabic source newswire and web data collected by LDC in 2006 - 2008. The distribution by genre, words, character tokens and segments appears below: | 12,806 | sentences | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | information retrieval,information retrieval,machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Arabic-English Word Alignment Training Part 2 -- Newswire | [] | nan | https://catalog.ldc.upenn.edu/LDC2014T10 | LDC User Agreement for Non-Members | 2,014 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | news articles | text | other | This release consists of Arabic source newswire collected by LDC in 2004 - 2006 and 2008. The distribution by genre, words, character tokens and segments appears below: | 5,349 | sentences | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation,information retrieval,information retrieval | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Arabic-English Word Alignment Training Part 3 -- Web | [] | nan | https://catalog.ldc.upenn.edu/LDC2014T14 | LDC User Agreement for Non-Members | 2,014 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | web pages | text | other | This release consists of Arabic source web data collected by LDC. The distribution by genre, words, character tokens and segments appears below: | 7,332 | sentences | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | information retrieval,information retrieval,machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 2 Arabic Broadcast News Speech Part 1 | [] | nan | https://catalog.ldc.upenn.edu/LDC2014S07 | LDC User Agreement for Non-Members | 2,014 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | spoken | other | The broadcast recordings in this release feature news programs focusing principally on current events from the following sources: Abu Dhabi TV, a televisions station based in Abu Dhabi, United Arab Emirates; Al Alam News Channel, based in Iran; Alhurra, a U.S. government-funded regional broadcaster; Aljazeera, a regional broadcaster located in Doha, Qatar; Dubai TV, a broadcast station in the United Arab Emirates; Al Iraqiyah, an Iraqi television station; Kuwait TV, a national broadcast station in Kuwait; Lebanese Broadcasting Corporation, a Lebanese television station; Nile TV, a broadcast programmer based in Egypt; Saudi TV, a national television station based in Saudi Arabia; and Syria TV, the national television station in Syria. | 30,000 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 2,000.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 2 Arabic Broadcast News Transcripts Part 1 | [] | nan | https://catalog.ldc.upenn.edu/LDC2014T17 | LDC User Agreement for Non-Members | 2,014 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | The transcript files are in plain-text, tab-delimited format (TDF) with UTF-8 encoding, and the transcribed data totals 897,868 tokens. The transcripts were created with the LDC-developed transcription tool, XTrans, a multi-platform, multilingual, multi-channel transcription tool that supports manual transcription and annotation of audio recordings. XTrans is available from the following link, https://www.ldc.upenn.edu/language-resources/tools/xtrans. | 897,868 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,500.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Arabic-English Parallel Aligned Treebank -- Broadcast News Part 1 | [] | nan | https://catalog.ldc.upenn.edu/LDC2013T14 | LDC User Agreement for Non-Members | 2,013 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | Please view the below samples. | 4,824 | sentences | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation,information detection,cross-lingual information retrieval,information retrieval | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Arabic-English Parallel Aligned Treebank -- Newswire | [] | nan | https://catalog.ldc.upenn.edu/LDC2013T10 | LDC User Agreement for Non-Members | 2,013 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | news articles | text | other | The source data consists of Arabic newswire from the Lebanese publication An Nahar collected by LDC in 2002. All data is encoded as UTF-8. A count of files, words, tokens and segments is below. | 7,711 | sentences | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation,information detection,cross-lingual information retrieval,information retrieval | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 2 Arabic Broadcast Conversation Speech Part 1 | [] | nan | https://catalog.ldc.upenn.edu/LDC2013S02 | LDC User Agreement for Non-Members | 2,013 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | spoken | other | The broadcast conversation recordings in this release feature interviews, call-in programs and round table discussions focusing principally on current events from the following sources: Al Alam News Channel, based in Iran, Al Arabiya, a news television station based in Dubai, Aljazeera, a regional broadcaster located in Doha, Qatar, Al Ordiniyah, a national broadcast station in Jordan, Lebanese Broadcasting Corporation, a Lebanese television station, Nile TV, a broadcast programmer based in Egypt, Oman TV, a national broadcaster located in the Sultanate of Oman, Saudi TV, a national television station based in Saudi Arabia and Syria TV, the national television station in Syria. A table showing the number of programs and hours recorded from each source is contained in the readme file. | 123 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 2,000.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 2 Arabic Broadcast Conversation Speech Part 2 | [] | nan | https://catalog.ldc.upenn.edu/LDC2013S07 | LDC User Agreement for Non-Members | 2,013 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | spoken | other | The broadcast conversation recordings in this release feature interviews, call-in programs and roundtable discussions focusing principally on current events from the following sources: Abu Dhabi TV, based in Abu Dhabi, United Arab Emirates; Al Alam News Channel, based in Iran; Al Arabiya, a news television station based in Dubai; Aljazeera, a regional broadcaster located in Doha, Qatar; Lebanese Broadcasting Corporation, a Lebanese television station; Oman TV, a national broadcaster located in the Sultanate of Oman; Saudi TV, a national television station based in Saudi Arabia; and Syria TV, the national television station in Syria. A table showing the number of programs and hours recorded from each source is contained in the readme file. | 128 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 2,000.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 2 Arabic Broadcast Conversation Transcripts Part 1 | [] | nan | https://catalog.ldc.upenn.edu/LDC2013T04 | LDC User Agreement for Non-Members | 2,013 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | The transcript files are in plain-text, tab-delimited format (TDF) with UTF-8 encoding, and the transcribed data totals 752,747 tokens. The transcripts were created with the LDC-developed transcription tool, XTrans, a multi-platform, multilingual, multi-channel transcription tool that supports manual transcription and annotation of audio recordings. XTrans is available from the following link, http://www.ldc.upenn.edu/tools/XTrans/downloads/. | 752,747 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,500.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 2 Arabic Broadcast Conversation Transcripts Part 2 | [] | nan | https://catalog.ldc.upenn.edu/LDC2013T17 | LDC User Agreement for Non-Members | 2,013 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | The transcript files are in plain-text, tab-delimited format (TDF) with UTF-8 encoding, and the transcribed data totals 763,945 tokens. The transcripts were created with the LDC-developed transcription tool, XTrans, a multi-platform, multilingual, multi-channel transcription tool that supports manual transcription and annotation of audio recordings. XTrans is available from the following link, http://www.ldc.upenn.edu/tools/XTrans/downloads/. | 763,945 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,500.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 2 Arabic Web Parallel Text | [] | nan | https://catalog.ldc.upenn.edu/LDC2013T01 | LDC User Agreement for Non-Members | 2,013 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | GALE Phase 2 Arabic Web Parallel Text includes 60 source-translation document pairs, comprising 42,089 words of Arabic source text and its English translation. Data was drawn from various Arabic weblog and newsgroup sources. | 42,089 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Arabic Treebank - Broadcast News v1.0 | [] | nan | https://catalog.ldc.upenn.edu/LDC2012T07 | LDC User Agreement for Non-Members | 2,012 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | This release contains 432,976 source tokens before clitics were split, and 517,080 tree tokens after clitics were separated for treebank annotation. The source materials are Arabic broadcast news stories collected by LDC during the period 2005-2008 from the following sources: Abu Dhabi TV, Al Alam News Channel, Al Arabiya, Al Baghdadya TV, Al Fayha, Alhurra, Al Iraqiyah, Aljazeera, Al Ordiniyah, Al Sharqiyah, Dubai TV, Kuwait TV, Lebanese Broadcasting Corp., Oman TV, Radio Sawa, Saudi TV and Syria TV. The transcripts were produced by LDC. | 432,976 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 4,500.00 $ | No | cross-lingual information retrieval,information retrieval,information detection | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 2 Arabic Broadcast Conversation Parallel Text Part 1 | [] | nan | https://catalog.ldc.upenn.edu/LDC2012T06 | LDC User Agreement for Non-Members | 2,012 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | GALE Phase 2 Arabic Broadcast Conversation Parallel Text Part 1 includes 36 source-translation document pairs, comprising 169,109 words of Arabic source text and its English translation. Data is drawn from thirteen distinct Arabic programs broadcast between 2004 and 2007 from the following sources: Al Alam News Channel, a broadcaster located in Iran Aljazeera, a regional broadcast programmer based in Doha, Qatar Dubai TV, located in Dubai, United Arab Emirates Oman TV, a national broadcaster located in the Sultanate of Oman and Radio Sawa, a U.S, government-funded regional broadcaster. Broadcast conversation programming is generally more interactive than traditional news broadcasts and includes talk shows, interviews, call-in programs and roundtable discussions. The programs in this release focus on current events topics. | 169,109 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 2 Arabic Broadcast Conversation Parallel Text Part 2 | [] | nan | https://catalog.ldc.upenn.edu/LDC2012T14 | LDC User Agreement for Non-Members | 2,012 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | GALE Phase 2 Arabic Broadcast Conversation Parallel Text Part 2 includes 29 source-translation document pairs, comprising 169,488 words of Arabic source text and its English translation. Data is drawn from eight distinct Arabic programs broadcast between 2004 and 2007 from Aljazeera, a regional broadcast programmer based in Doha, Qatar and Nile TV, an Egyptian broadcaster. Broadcast conversation programming is generally more interactive than traditional news broadcasts and includes talk shows, interviews, call-in programs and roundtables. The programs in this release focus on current events topics. | 169,488 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 2 Arabic Broadcast News Parallel Text | [] | nan | https://catalog.ldc.upenn.edu/LDC2012T18 | LDC User Agreement for Non-Members | 2,012 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | GALE Phase 2 Arabic Broadcast News Parallel Text includes seven source-translation pairs, comprising 29,210 words of Arabic source text and its English translation. Data is drawn from six distinct Arabic programs broadcast between 2005 and 2007 from Abu Dhabi TV, based in Abu Dhabi, United Arab Emirates Al Alam News Channel, based in Iran Aljazeera, a regional broadcast programmer based in Doha, Qatar Dubai TV, based in Dubai, United Arab Emirates and Kuwait TV, a national television station based in Kuwait. The BN programming in this release focuses on current events topics. | 29,210 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 2 Arabic Newswire Parallel Text | [] | nan | https://catalog.ldc.upenn.edu/LDC2012T17 | LDC User Agreement for Non-Members | 2,012 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | news articles | text | other | GALE Phase 2 Arabic Newswire Parallel Text includes 400 source-translation pairs, comprising 181,704 tokens of Arabic source text and its English translation. Data is drawn from six distinct Arabic newswire sources.: Al Ahram, Al Hayat, Al-Quds Al-Arabi, An Nahar, Asharq Al-Awsat and Assabah. | 181,704 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,750.00 $ | No | machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Arabic Gigaword Fifth Edition | [] | nan | https://catalog.ldc.upenn.edu/LDC2011T11 | LDC User Agreement for Non-Members | 2,011 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | news articles | text | other | All text data are presented in SGML form, using a very simple, minimal markup structure. For every opening tag (DOC, HEADLINE, DATELINE, TEXT, P), there is a corresponding closing tag -- always. The attribute values in the DOC tag are always presented within double-quotes the id= attribute of DOC consists of the 7-letter source abbreviation (in CAPS), an underscore character, an 8-digit date string representing the date of the story (YYYYMMDD), a period, and a 4-digit sequence number starting at 0001 for each date (e.g. XIN_ARB_200101.0001) in this way, every DOC in the corpus is uniquely identifiable by the id string. | nan | nan | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 6,000.00 $ | No | language modeling,information retrieval | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Arabic Treebank: Part 2 v 3.1 | [] | nan | https://catalog.ldc.upenn.edu/LDC2011T09 | LDC User Agreement for Non-Members | 2,011 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | news articles | text | other | ATB2 v 3.1 contains a total of 144,199 source tokens before clitics are split, and 169,319 tree tokens after clitics are separated for the treebank annotation. Source texts were selected from Ummah Press news archives covering the period from July 2001 through September 2002. | 501 | documents | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 4,500.00 $ | No | information retrieval,cross-lingual information retrieval,information detection | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Arabic Treebank: Part 1 v 4.1 | [] | nan | https://catalog.ldc.upenn.edu/LDC2010T13 | LDC User Agreement for Non-Members | 2,010 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | news articles | text | other | ATB1 v 4.1 contains a total of 145,386 tokens before clitics are split, and 167,280 tokens after clitics are separated for the treebank annotation. | 145,386 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 4,500.00 $ | No | information retrieval,cross-lingual information retrieval,information detection | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Arabic Treebank: Part 3 v 3.2 | [] | nan | https://catalog.ldc.upenn.edu/LDC2010T08 | LDC User Agreement for Non-Members | 2,010 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | news articles | text | other | ATB3 v 3.2 contains a total of 339,710 tokens before clitics are split, and 402,291 tokens after clitics are separated for the treebank annotation. This release includes all files that were previously made available to the DARPA GALE program community (Arabic Treebank Part 3 - Version 3.1, LDC2008E22). A number of inconsistencies in the 3.1 release data have been corrected here. These include changes to certain POS tags with the resulting tree changes. As a result, additional clitics have been separated, and some previously incorrectly split tokens have now been merged. | 339,710 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 4,500.00 $ | No | information retrieval,cross-lingual information retrieval,information detection | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
LDC Standard Arabic Morphological Analyzer (SAMA) Version 3.1 | [] | nan | https://catalog.ldc.upenn.edu/LDC2010L01 | LDC User Agreement for Non-Members | 2,010 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | nan | text | other | The input format, output format, and data layer of SAMA 3.1 were designed to be backward compatible with BAMA. Incremental changes to the data layer in SAMA have resulted in: | 40,654 | tokens | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | N/A $ | No | machine translation,information retrieval | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Arabic Gigaword Fourth Edition | [] | nan | https://catalog.ldc.upenn.edu/LDC2009T30 | LDC User Agreement for Non-Members | 2,009 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | news articles | text | other | The table below shows data quantity by source under the following categories: data source (Source); the number of files per source (#Files); compressed file size (Gzip-MB); uncompressed file size (Totl-MB); the number of space-separated words tokens in the text (K-words); and the number of documents per source (#DOCs). | 2,716,995 | documents | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 5,000.00 $ | No | language modeling,information retrieval | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Arabic Newswire English Translation Collection | [] | nan | https://catalog.ldc.upenn.edu/LDC2009T22 | LDC User Agreement for Non-Members | 2,009 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | news articles | text | other | the 49 translations for this AFP subset are not included in this release, resulting in a total 1,682 translations for the 1,731 source stories. | 1,731 | documents | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,500.00 $ | No | syntactic parsing | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 1 Arabic Newsgroup Parallel Text - Part 1 | [] | nan | https://catalog.ldc.upenn.edu/LDC2009T03 | LDC User Agreement for Non-Members | 2,009 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | Preparing the source data involved four stages of work: data scouting, data harvesting, formatting and data selection. | 264 | documents | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,500.00 $ | No | machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 1 Arabic Newsgroup Parallel Text - Part 2 | [] | nan | https://catalog.ldc.upenn.edu/LDC2009T09 | LDC User Agreement for Non-Members | 2,009 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | Preparing the source data involved four stages of work: data scouting, data harvesting, formatting and data selection. | 263 | documents | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,500.00 $ | No | machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 1 Arabic Blog Parallel Text | [] | nan | https://catalog.ldc.upenn.edu/LDC2008T02 | LDC User Agreement for Non-Members | 2,008 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | The task of preparing this corpus involved four stages of work: data scouting, data harvesting, formatting, and data selection. | 222 | documents | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,500.00 $ | No | machine translation,language modeling | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 1 Arabic Broadcast News Parallel Text - Part 2 | [] | nan | https://catalog.ldc.upenn.edu/LDC2008T09 | LDC User Agreement for Non-Members | 2,008 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | transcribed audio | text | other | A total of 10.7 hours of Arabic broadcast news recordings were selected from four sources and four different programs. | 10.7 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,500.00 $ | No | machine translation,cross-lingual information retrieval | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Arabic Gigaword Third Edition | [] | nan | https://catalog.ldc.upenn.edu/LDC2007T40 | LDC User Agreement for Non-Members | 2,007 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | news articles | text | other | This release contains 547 files, totalling approximately 1.8GB in compressed form (6,673 MB uncompressed) and 1,994,735 K-words. | 1,994,735 | documents | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 4,000.00 $ | No | language modeling,information retrieval | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Fisher Levantine Arabic Conversational Telephone Speech, Transcripts | [] | nan | https://catalog.ldc.upenn.edu/LDC2007T04 | LDC User Agreement for Non-Members | 2,007 | ar | ar-LEV: (Arabic(Levant)) | transcribed audio | text | other | Fisher Levantine Arabic Conversational Telephone Speech, Transcripts contains transcripts for 279 telephone conversations. The majority of the speakers are from Jordan, Lebanon and Palestine. | 279 | sentences | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 3,000.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
GALE Phase 1 Arabic Broadcast News Parallel Text - Part 1 | [] | nan | https://catalog.ldc.upenn.edu/LDC2007T24 | LDC User Agreement for Non-Members | 2,007 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | other | text | other | A total of 17 hours of Arabic broadcast news recordings was selected from six sources and seven different programs. | 17 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,500.00 $ | No | cross-lingual information retrieval,machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
ISI Arabic-English Automatically Extracted Parallel Text | [] | nan | https://catalog.ldc.upenn.edu/LDC2007T08 | LDC User Agreement for Non-Members | 2,007 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | nan | text | other | The corpus contains 1,124,609 sentence pairs; the word count on the English side is approximately 31M words. The sentences in the parallel corpus preserve the form and encoding of the texts in the original Gigaword corpora. | 1,124,609 | sentences | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 4,000.00 $ | No | machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Levantine Arabic Conversational Telephone Speech | [] | nan | https://catalog.ldc.upenn.edu/LDC2007S01 | LDC User Agreement for Non-Members | 2,007 | ar | ar-LEV: (Arabic(Levant)) | transcribed audio | spoken | other | For an example of the data into this corpus, please listen to this audio sample (wav format). | 985 | sentences | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 400.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Arabic Broadcast News Speech | [] | nan | https://catalog.ldc.upenn.edu/LDC2006S46 | LDC User Agreement for Non-Members | 2,006 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | other | spoken | other | The recordings were captured from a dedicated satellite receiver and stored as 16-bit PCM, 16-kHz, single-channel, in NIST SPHERE format. The duration of each recording is either 60 minutes or 120 minutes, depending on the VOA broadcast schedule. The date (YYYYMMDD), start-time, and end-time (HHMM EST) for each recording are indicated in the file names. The sample data are not compressed. | 1 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 700.00 $ | No | machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Arabic Gigaword Second Edition | [] | nan | https://catalog.ldc.upenn.edu/LDC2006T02 | LDC User Agreement for Non-Members | 2,006 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | news articles | text | other | The following table contains information for this corpus, broken down by source. The information includes source codes represented in the corpus as well as their codes from the first edition, the collection span and number of documents new to this edition, the number of documents total, and the K-words (thousands of words) for each source. Ummah Press is a new source included in the second edition and therefore has no first edition info. | 1,591,983 | documents | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 3,000.00 $ | No | information retrieval,language modeling | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
English-Arabic Treebank v 1.0 | [] | nan | https://catalog.ldc.upenn.edu/LDC2006T10 | LDC User Agreement for Non-Members | 2,006 | multilingual | ar-MSA: (Arabic (Modern Standard Arabic)) | news articles | text | other | The guidelines followed for both part-of-speech and treebank annotation are essentially Penn Treebank II style, with two notable differences: | 224 | documents | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 2,000.00 $ | No | information retrieval,cross-lingual information retrieval,machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Gulf Arabic Conversational Telephone Speech | [] | nan | https://catalog.ldc.upenn.edu/LDC2006S43 | LDC User Agreement for Non-Members | 2,006 | ar | ar-GLF: (Arabic (Gulf)) | transcribed audio | spoken | other | A total of 976 conversation sides from 975 Gulf Arabic speakers are provided (one speaker appears on two distinct calls). Most of the calls contain both sides of a conversation (that is, 450 two-channel recordings plus 76 single-channel recordings). The average duration per side is about 5.7 minutes. | 46.66 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 800.00 $ | No | speaker identification,speech recognition,spoken dialogue modeling,spoken dialogue systems | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Gulf Arabic Conversational Telephone Speech, Transcripts | [] | nan | https://catalog.ldc.upenn.edu/LDC2006T15 | LDC User Agreement for Non-Members | 2,006 | ar | ar-GLF: (Arabic (Gulf)) | transcribed audio | text | other | Each transcript file is a tab-delimited flat table, where each line contains information and text for a single contiguous utterance, presented via the following fields: | 976 | sentences | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 400.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Iraqi Arabic Conversational Telephone Speech, Transcripts | [] | nan | https://catalog.ldc.upenn.edu/LDC2006T16 | LDC User Agreement for Non-Members | 2,006 | ar | ar-IQ: (Arabic (Iraq)) | transcribed audio | text | other | A total of 478 conversation sides from 474 unique speakers are provided, and most of these transcripts contain both sides of a conversation (202 transcripts with both sides and 74 with just one side). The average duration per call is about six minutes, so each call side contains about three minutes of speech, on average. | 50 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 200.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Levantine Arabic QT Training Data Set 5, Transcripts | [] | nan | https://catalog.ldc.upenn.edu/LDC2006T07 | LDC User Agreement for Non-Members | 2,006 | ar | ar-LEV: (Arabic(Levant)) | transcribed audio | text | other | This corpus is the combination of four former training data sets: LDC2004E21 and LDC2004E22, LDC2004E65 and LDC2004E66, Arabic CTS Levantine Fisher Training Data Set 3, Speech (LDC2005S07) and Arabic CTS Levantine Fisher Training Data Set 3, Transcripts (LDC2005T03), and Levantine Arabic QT Training Data Set 4 (Speech + Transcripts) (LDC2005S14). More than half of the speakers are Lebanese, the others are Jordanian, Palestinian, and Syrian. The table below shows the distribution of the speakers' national origin: | 250 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,000.00 $ | No | language modeling,language teaching,machine translation | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Arabic CTS Levantine Fisher Training Data Set 3, Speech | [] | nan | https://catalog.ldc.upenn.edu/LDC2005S07 | LDC User Agreement for Non-Members | 2,005 | ar | ar-LEV: (Arabic(Levant)) | transcribed audio | spoken | other | This corpus contains 322 audio files of Arabic telephone conversations in 2-channel SPHERE ulaw format, sampled at 8 kHz. | 50 | hours | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 1,000.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Arabic CTS Levantine Fisher Training Data Set 3, Transcripts | [] | nan | https://catalog.ldc.upenn.edu/LDC2005T03 | LDC User Agreement for Non-Members | 2,005 | ar | ar-LEV: (Arabic(Levant)) | nan | text | other | This corpus contains Arabic transcripts for 322 telephone conversations in UTF-8 format and associated documentation including a word list with frequency of occurences. The list shows all the occurences of words in their pronunciation spellings mapped to their corresponding canonical forms, as well as their raw frequency (the amount of times they appear in the corpus) and source document frequency (the number of documents in which they appear in the corpus). | 322 | sentences | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 750.00 $ | No | speech recognition | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Arabic Treebank: Part 1 v 3.0 (POS with full vocalization + syntactic analysis) | [] | nan | https://catalog.ldc.upenn.edu/LDC2005T02 | LDC User Agreement for Non-Members | 2,005 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | news articles | text | other | The following table gives a breakdown of the data contained in the entire Arabic Treebank project, with discrepancies between versions for Parts 1 and 3. The fields include source, number of stories, total number of tokens, number of tokens after clitic separation, and number of Arabic word tokens after punctuation, numbers, and latin strings have been taken out. The totals given at the bottom are calculated from the latest versions where discrepencies exist, and do not include tokens after clitic separation since that number is missing from Part 4. | 2,231 | documents | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 4,000.00 $ | No | information retrieval,cross-lingual information retrieval,information detection | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |
Arabic Treebank: Part 4 v 1.0 (MPG Annotation) | [] | nan | https://catalog.ldc.upenn.edu/LDC2005T30 | LDC User Agreement for Non-Members | 2,005 | ar | ar-MSA: (Arabic (Modern Standard Arabic)) | nan | text | other | The following table gives a breakdown of the data contained in the entire Arabic Treebank project, with discrepancies between versions for Parts 1 and 3. The fields include source, number of stories, total number of tokens, number of tokens after clitic separation, and number of Arabic word tokens after punctuation, numbers, and latin strings have been taken out. The totals given at the bottom are calculated from the latest versions where discrepencies exist, and do not include tokens after clitic separation since that number is missing from Part 4. | 2,231 | documents | Low | LDC | nan | nan | nan | nan | No | LDC | With-Fee | 3,500.00 $ | No | information retrieval,cross-lingual information retrieval,information detection | nan | nan | nan | nan | nan | nan | nan | Zaid Alyafeai |