OLAC Record oai:www.ldc.upenn.edu:LDC2023T08

Metadata
Title:		LORELEI Thai 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 Thai Representative Language Pack LDC2023T08. Web Download. Philadelphia: Linguistic Data Consortium, 2023
Contributor:		Tracey, Jennifer
		Strassel, Stephanie
		Graff, David
		Wright, Jonathan
		Chen, Song
		Ryant, Neville
		Kulick, Seth
		Griffitt, Kira
		Delgado, Dana
		Arrigo, Michael
Date (W3CDTF):		2023
Date Issued (W3CDTF):		2023-07-17
Description:		*Introduction* LORELEI Thai Representative Language Pack (LDC2023T08) consists of Thai monolingual text, Thai-English parallel text, annotations, supplemental resources and related software tools developed by the Linguistic Data Consortium (LDC) 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* Thai is spoken mainly in Thailand, where it is the official language. 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: * Over 39 million words of Thai monolingual text, over 124,000 of which were translated into English * 2.85 million words of found Thai-English parallel text * 141,000 Thai words translated from English data Over 186,000 words were annotated for named entities, and over 25,000 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 * Thai LTF XML * Thai PSM XML * Issues Table (TXT) * Entity Table (TXT) * Full Entity Annotation XML * Semantic Annotation XML *Updates* None at this time.
Extent:		Corpus size: 3871228 KB
Identifier:		LDC2023T08
		https://catalog.ldc.upenn.edu/LDC2023T08
		ISLRN: 798-244-926-611-8
		DOI: 10.35111/mydh-2926
Language:		Thai
		English
Language (ISO639):		tha
		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/LDC2023T08
Rights Holder:		Portions © 2002-2007, 2009-2010 Agence France Presse, © 2000 American Broadcasting Company, © 2017 Am Thai International Ltd., © 2005 ASIANET, © 2006 Bangkok Bank Public Company Limited, © 2010 Bangkok Center Co., Ltd., © 2017 Bangkok Entertainment Co., Ltd., © 2006 Bank of Thailand, © 2017 BBC, © 2000 Cable News Network LP, LLLP, © 2008 Central News Agency (Taiwan), © 1989 Dow Jones & Company, Inc., © 2017 Exxon Mobil Corporation, © 2017 Gold Press Limited, © 2009 InfoQuest Limited, © 2006 Internet Thailand Public Company Limited, © 2005 Iron and Steel Institute of Thailand, © 2009, 2011, 2013-2017 KOMCHADLUEK.NET, © 2005, 2017 Krungthep Turakij, © 2005 Los Angeles Times - Washington Post News Service, Inc., © 2017 Manager Online, © 2015-2017 Matichon Public Co., Ltd., © 2016-2017 Naewna.com, © 2016 Nation Broadcasting Corporation Public Co., Ltd., © 2000 National Broadcasting Company, Inc., © 1999, 2005, 2006, 2010 New York Times, © 2000 Public Radio International, © 2007 Tentin (Thailand) Co., Ltd., © 2017 Thai PBS, © 2003, 2005-2008, 2010 The Associated Press, © 2017 Voice TV 21, © 2017 Watcharapol Co., Ltd., © 2006 World Vision Foundation of Thailand, © 2003, 2005-2008 Xinhua News Agency, © 2018, 2021, 2023 Trustees of the University of Pennsylvania
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:LDC2023T08
DateStamp:		2024-01-01
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. 2023. Linguistic Data Consortium.
Terms:		area_Asia area_Europe country_GB country_TH dcmi_Software dcmi_Text iso639_eng iso639_tha olac_primary_text