OLAC Record oai:www.ldc.upenn.edu:LDC2025T12

Metadata
Title:		LORELEI Hindi 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 Hindi Representative Language Pack LDC2025T12. Web Download. Philadelphia: Linguistic Data Consortium, 2025
Contributor:		Tracey, Jennifer
		Strassel, Stephanie
		Graff, David
		Wright, Jonathan
		Chen, Song
		Ryant, Neville
		Kulick, Seth
		Griffitt, Kira
		Delgado, Dana
		Arrigo, Michael
Date (W3CDTF):		2025
Date Issued (W3CDTF):		2025-09-15
Description:		*Introduction* LORELEI Hindi Representative Language Pack consists of Hindi monolingual text, Hindi-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* Hindi is spoken mainly in India, where it is an official language, and also by communities in South Africa, the United Arab Emirates, Fiji, Mauritius, Suriname, Nepal, the United Kingdom, and the United States. 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: * 26 million words of Hindi monolingual text, 363,000 words of which were translated into English * 1.07 million words of found Hindi-English parallel text * 118,000 Hindi words translated from English data Approximately 103,000 words were annotated for simple named entities; over 25,000 words are annotated for full entity (including nominals and pronouns), entity linking, simple semantics, and situation frames. 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/X, 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: * English LTF XML * English PSM XML * Hindi LTF XML * Hindi PSM XML * Full Entity Annotation XML * Semantic Annotation XML * Situation Frame Entity Mentions Annotation (TSV) * Situation Frame Entity Needs Annotation (TSV) *Updates* None at this time.
Extent:		Corpus size: 910064 KB
Identifier:		LDC2025T12
		https://catalog.ldc.upenn.edu/LDC2025T12
		ISLRN: 805-696-962-662-5
		DOI: 10.35111/97rn-tj26
Language:		Hindi
		English
Language (ISO639):		hin
		eng
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/LDC2025T12
Rights Holder:		Portions © 2002-2007, 2009-2010 Agence France Presse, © 2000 American Broadcasting Company, © 2012, 2014-2017 BBC, © 2000 Cable News Network LP, LLLP, © 2008 Central News Agency (Taiwan), © 2017 Dicasterium pro Communicatione, © 1989 Dow Jones & Company, Inc., © 2012, 2014 INDIA DOT COM PRIVATE LIMITED, © 2017 Jagran Prakashan Limited, © 2005 Los Angeles Times - Washington Post News Service, Inc., © 2000 National Broadcasting Company, Inc., © 2011, 2013 NDTV CONVERGENCE LIMITED, © 2011 Network18 Media and Investments Ltd, © 1999, 2005, 2006, 2010 New York Times, © 2017 Pradesh Today, © 2000 Public Radio International, © 2017 Samachar Jagat Jaipur, © 2003, 2005-2008, 2010 The Associated Press, © 2003, 2005-2008 Xinhua News Agency, © 2017, 2022, 2025 Trustees of the University of Pennsylvania
Subject:		Hindi language
Subject (ISO639):		hin
Type (DCMI):		Software
		Text
Type (OLAC):		primary_text
OLAC Info
Archive:		The LDC Corpus Catalog
Description:		http://www.language-archives.org/archive/www.ldc.upenn.edu
GetRecord:		OAI-PMH request for OLAC format
GetRecord:		Pre-generated XML file
OAI Info
OaiIdentifier:		oai:www.ldc.upenn.edu:LDC2025T12
DateStamp:		2025-09-15
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Tracey, Jennifer; Strassel, Stephanie; Graff, David; Wright, Jonathan; Chen, Song; Ryant, Neville; Kulick, Seth; Griffitt, Kira; Delgado, Dana; Arrigo, Michael. 2025. Linguistic Data Consortium.
Terms:		area_Asia area_Europe country_GB country_IN dcmi_Software dcmi_Text iso639_eng iso639_hin olac_primary_text
Inferred Metadata
Country:		India
Area:		Asia