OLAC Record oai:www.ldc.upenn.edu:LDC2023T07

Metadata
Title:		LORELEI Indonesian 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 Indonesian Representative Language Pack LDC2023T07. 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):		2023-06-15
Description:		*Introduction* LORELEI Indonesian Representative Language Pack consists of Indonesian monolingual text, Indonesian-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* Indonesian is spoken throughout Indonesia, 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 17 million words of Indonesian monolingual text, nearly 116,000 of which were translated into English * 950,000 words of found Indonesian-English parallel text * 92,000 Indonesian words translated from English data Over 113,000 words are annotated for named entities, over 24,000 words were annotated for full entity including nominals and pronouns, entity linking, simple semantic annotation, and situation frame annotation, and approximately 2,000 words have morphological segmentation annotation. 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 * Indonesian LTF XML * Indonesian PSM XML * Issues Table (TXT) * Entity Table (TXT) * Full Entity Annotation XML * Semantic Annotation XML *Updates* None at this time.
Extent:		Corpus size: 594777 KB
Identifier:		LDC2023T07
		https://catalog.ldc.upenn.edu/LDC2023T07
		ISLRN: 426-032-969-008-0
		DOI: 10.35111/6gww-xc16
Language:		Indonesian
		English
Language (ISO639):		ind
		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/LDC2023T07
Rights Holder:		Portions © 2002-2007, 2009-2010 Agence France Presse, © 2017 Alodokter, © 2000 American Broadcasting Company, © 2009, 2016 Antara News, © 2016-2018 ASIANET, © 2009, 2013, 2016-2017 BBC, © 2011 BeritaUnik.net, © 2000, 2015 Cable News Network, LP, LLP, © 2008 Central News Agency (Taiwan), © 2009, 2011, 2015-2017 Detik.com, © 1989 Dow Jones & Company, Inc., © 2016-2017 Juara, © 2011, 2013-2014, 2016 Kompas Cyber Media, © 2010, 2016 Liputan6, © 2005 Los Angeles Times - Washington Post News Service, Inc., © 2000 National Broadcasting Company, Inc., © 2012-2013 National Geographic, © 1999, 2005, 2006, 2010 New York Times, © 2000 Public Radio International, © 2012 republika.co.id, © 2013 tagana.kemsos.go.id, © 2014 Tempo.co, © 2003, 2005-2008, 2010 The Associated Press, © 2015 Trans Media, © 2010 tribunnews.com, © 2010 Viva, © 2015 WRI Indonesia, © 2003, 2005-2008 Xinhua News Agency, © 2017, 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:LDC2023T07
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_ID dcmi_Software dcmi_Text iso639_eng iso639_ind olac_primary_text