OLAC Record oai:www.ldc.upenn.edu:LDC2020T11

Metadata
Title:		LORELEI Oromo Incident 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 Oromo Incident Language Pack LDC2020T11. Web Download. Philadelphia: Linguistic Data Consortium, 2020
Contributor:		Tracey, Jennifer
		Graff, David
		Strassel, Stephanie
		Arrigo, Michael
		Wright, Jonathan
		Bies, Ann
Date (W3CDTF):		2020
Date Issued (W3CDTF):		2020-05-15
Description:		*Introduction* LORELEI Oromo Incident Language Pack was developed by the Linguistic Data Consortium and is comprised of approximately 3.9 million words of Oromo monolingual text, 25,000 words of English monolingual text, 135,000 words of parallel and comparable Oromo-English text, and 50,000 words of data annotated for Entity Discovery and Linking and Situation Frames. It contains all of the text data, annotations, supplemental resources and related software tools for the Oromo language that were used in the DARPA LORELEI / LoReHLT 2017 Evaluation. 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. The evaluation protocol was based on a scenario in which an unforeseen event triggered a need for humanitarian and logistical support in a region where the incident language had received little or no attention in natural language processing (NLP) research. Evaluation participants provided NLP solutions, including information extraction and machine translation, based on limited resources and with very little time for development. *Data* Oromo is a Cushitic language spoken in Ethiopia, Kenya, Somalia and Egypt, and it is the third largest language in Africa. Data was collected in the following genres: news, social network, weblog, newsgroup, discussion forum, and reference material. Entity detection and linking annotation identified entities to be detected by systems for scoring purposes. Situation frame analysis was designed to extract basic information about needs and relevant issues for planning a disaster response effort. Also included in this release are lexical and grammatical resources as well as three tools: two to recreate original source data from the processed XML material and the other to condition text data users download from Twitter. Monolingual, parallel and comparable text are presented in XML with associated dtds. Entity Detection and Linking and Situation Frame annotation data is presented as tab delimited files. All text is UTF-8 encoded. The knowledge base for entity linking annotation in this corpus and all LORELEI Representative Language and Incident Language Packs is available separately as LORELEI Entity Detection and Linking Knowledge Base (LDC2020T10). *Acknowledgement* 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 this text sample and annotation sample. *Updates* None at this time.
Extent:		Corpus size: 156927 KB
Identifier:		LDC2020T11
		https://catalog.ldc.upenn.edu/LDC2020T11
		ISBN: 1-58563-929-X
		ISLRN: 067-446-898-117-9
		DOI: 10.35111/rfwq-7j39
Language:		Oromo
		English
Language (ISO639):		orm
		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/LDC2020T11
Rights Holder:		Portions © 2015 Addis Standard Magazine, © 2015-2016 Agroindustrial Association of Ukraine, © 2015-2016 Al Jazeera Media Network, © 2016 AllAfrica, © 2015-2017 Ayyaantu, © 2016 BBC, © 2013-2017 Bilisummaa, © 2016 Cable News Network. Turner Broadcasting System, Inc., © 2015-2017 Daandiihaqaa.net, © 2016 dmg media, © 2016-2017 Ethiopian Satellite Television Service (ESAT), © 2016 Geeskaafrika, © 2015 Guardian News & Media Limited or its affiliated companies, © 2016 IPI International Peace Institute, © 2016-2017 Oromedia, © 2015-2017 Oromiya National Regional State Office of the President, © 2016 Oromo Democratic Front, © 1998, 2012, 2015-2017 Oromo Liberation Front, © 2016 Reuters, © 2016-2017 Robe Media Network, © 2015-2017 Shaggar, © 2014-2017 The Awash Post, © 2016 The Washington Post, © 2016 Tigraionline.com, © 2017 Watch Tower Bible and Tract Society of Pennsylvania, © 2015-2017 Xalayaa, © 2017, 2020 Trustees of the University of Pennsylvania
Type (DCMI):		Software
		Text
Type (OLAC):		lexicon
		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:LDC2020T11
DateStamp:		2023-01-27
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Tracey, Jennifer; Graff, David; Strassel, Stephanie; Arrigo, Michael; Wright, Jonathan; Bies, Ann. 2020. Linguistic Data Consortium.
Terms:		area_Europe country_GB dcmi_Software dcmi_Text iso639_eng iso639_orm olac_lexicon olac_primary_text