OLAC Record

Title:LORELEI Farsi Representative Language Pack
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Tracey, Jennifer, et al. LORELEI Farsi Representative Language Pack LDC2024T01. Web Download. Philadelphia: Linguistic Data Consortium, 2024
Contributor:Tracey, Jennifer
Strassel, Stephanie
Graff, David
Wright, Jonathan
Chen, Song
Ryant, Neville
Kulick, Seth
Griffitt, Kira
Delgado, Dana
Arrigo, Michael
Date (W3CDTF):2024
Date Issued (W3CDTF):2024-01-16
Description:*Introduction* LORELEI Farsi Representative Language Pack consists of Farsi monolingual text, Farsi-English parallel text, annotations, supplemental resources and related software tools developed by the Linguistic Data Consortium for the DARPA LORELEI program. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations like natural disasters or disease outbreaks. Linguistic resources for LORELEI include Representative Language Packs and Incident Language Packs for over two dozen low resource languages, comprising data, annotations, basic natural language processing tools, lexicons and grammatical resources. Representative languages were selected to provide broad typological coverage, while incident languages were selected to evaluate system performance on a language whose identity was disclosed at the start of the evaluation. *Data* Farsi is spoken mainly in Iran and Afghanistan; it is the official language in both countries. Data was collected in the following genres: discussion forum, news, reference, social network, and weblogs. Both monolingual text collection and parallel text creation involved a combination of manual and automatic methods. Data volumes are as follows: * 250 million words of Farsi monolingual text, over 391,000 of which were translated into English * 751,000 words of found Farsi-English parallel text * 120,000 Farsi words translated from English data Approximately 75,000 words are annotated for named entities, and over 22,000 words were annotated for full entity including nominals and pronouns, simple semantic annotation, situation frame annotation, and entity linking. Lexical resources and software tools are also included in this release. The tools recreate original source data from the processed XML material, condition text data users download from Twitter, apply sentence segmentation to raw text, and support named entity tagging. Monolingual and parallel text are presented in XML with associated dtds. Annotation data is presented as tab delimited files or XML. All text is UTF-8 encoded. The knowledge base for entity linking annotation for this corpus and all LORELEI Representative Language and Incident Language Packs is available separately as LORELEI Entity Detection and Linking Knowledge Base (LDC2020T10). *Sponsorship* This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. HR0011-15-C-0123. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of DARPA. *Samples* Please view these samples: * Translation Alignment XML * English LTF XML * English PSM XML * Farsi LTF XML * Farsi PSM XML * Full Entity Annotation XML * Semantic Annotation XML *Updates* None at this time.
Extent:Corpus size: 5061241 KB
ISLRN: 741-723-887-022-9
DOI: 10.35111/9f1g-d073
Language (ISO639):fas
License:LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf
Medium:Distribution: Web Download
Publisher:Linguistic Data Consortium
Publisher (URI):https://www.ldc.upenn.edu
Relation (URI):https://catalog.ldc.upenn.edu/docs/LDC2024T01
Rights Holder:Portions © 2014 1394 Milestone Middle East Company (Limited), © 2016 Aftab News, © 2002-2007, 2009-2010 Agence France Presse, © 2016 Alalam.ir, © 2013 Al Arabiya, © 2000 American Broadcasting Company, © 2012 Areas Database, hawzah.net, © 2012, 2014-2016 asriran.com, © 2016 Basij News, © 2011-2016 BBC, © 2016 Bohran News Agency, © 2000 Cable News Network LP, LLLP, © 2008 Central News Agency (Taiwan), © 1989 Dow Jones & Company, Inc., © 2016 Drop, © 2016 Entekhab News Agency, © 2014, 2016 Ettelaat Network, © 2013-2016 euronews, © 2016 Farda News, © 2016 Fars News Agency, © 2012-2013, 2016 Geological Survey of Iran, © 2012-2016 ghasemjafari.ir, © 2007-2016 Global Voices, © 2015 Gulf Magazine, © 2012-2015 Iran's Islamic Republic News Agency, © 2014, 2016 Islamic Republic of Iran Broadcasting, © 2016 isna.ir, © 2015 Joya, © 2016 Khaama Press (KP)/ Afghan News Agency, © 2015-2016 Khabaronline News Agency, © 2005 Los Angeles Times - Washington Post News Service, Inc., © 2014 magiran.com, © 2016 Mehr News Agency (www.mehrnews.com), © 2000 National Broadcasting Company, Inc., © 2016 National ID 10103955180 Sun Network, © 2016 Negahe Hasti News, © 1999, 2005, 2006, 2010 New York Times, © 2016 News Agency Islamic Azad University - Anna, © 2016 News - Analytical Sfyraflak, © 2016 News of the Institute for Citizen’s Rights, © 2016 News path, © 2013 Oatmeal online, © 2016 Pars Media News, © 2013 parsinews.ir, © 2016 Parto Tech System, © 2015 Persian News Network, © 2015 Peste, © 2016 Pezeshk.us, © 2011-2013, 2015-2016 PressTV, © 2000 Public Radio International, © 2015 Radiant With You, © 2016 Radio Liberty, © 2010, 2016 Radio Time, © 2014-2015 Salamaneh, © 2016 Shafaqna.com, © 2016 SID, © 2016 Sinapress Science and Culture, © 2012, 2015 Sputnik, © 2015-2016 tabnak.ir, © 2016 Tasnim News Agency, © 2003, 2005-2008, 2010 The Associated Press, © 2016 The World Economy, © 2016 TKG: A public media project of DHSA, © 2003, 2005-2008 Xinhua News Agency, © 2016, 2021, 2024 Trustees of the University of Pennsylvania
Type (DCMI):Software
Type (OLAC):primary_text


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OaiIdentifier:  oai:www.ldc.upenn.edu:LDC2024T01
DateStamp:  2024-01-16
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Citation: Tracey, Jennifer; Strassel, Stephanie; Graff, David; Wright, Jonathan; Chen, Song; Ryant, Neville; Kulick, Seth; Griffitt, Kira; Delgado, Dana; Arrigo, Michael. 2024. Linguistic Data Consortium.
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Up-to-date as of: Mon Mar 25 7:21:17 EDT 2024