oai:www.ldc.upenn.edu:LDC2021T02
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OLAC Record oai:www.ldc.upenn.edu:LDC2021T02 |
| Metadata | ||
| Title: | LORELEI Akan 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 Akan Representative Language Pack LDC2021T02. Web Download. Philadelphia: Linguistic Data Consortium, 2021 | |
| Contributor: | Tracey, Jennifer | |
| Strassel, Stephanie | ||
| Graff, David | ||
| Wright, Jonathan | ||
| Chen, Song | ||
| Ryant, Neville | ||
| Kulick, Seth | ||
| Griffitt, Kira | ||
| Delgado, Dana | ||
| Arrigo, Michael | ||
| Date (W3CDTF): | 2021 | |
| Date Issued (W3CDTF): | 2021-01-15 | |
| Description: | *Introduction* LORELEI Akan Representative Language Pack consists of Akan monolingual text, Akan-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* Akan is spoken mainly in Ghana and Ivory Coast. 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 3.3 million words of Akan monolingual text, all of which were translated into English * 115,000 Akan words translated from English data Approximately 2,300 words were annotated for named entities, full entity including nominals and pronouns, entity linking, simple semantic annotation, and situation frame annotation (identifying entities, needs and issues). Around 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). *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 the following samples: * Akan LTF XML * Akan PSM XML * English PSM XML * English LTF XML * Sentence Alignment (XML) * Simple Name Entity Annotation (XML) * Full Name Entity Annotation (XML) * Semantic Annotation (XML) *Updates* None at this time. | |
| Extent: | Corpus size: 419090 KB | |
| Identifier: | LDC2021T02 | |
| https://catalog.ldc.upenn.edu/LDC2021T02 | ||
| ISBN: 1-58563-952-4 | ||
| ISLRN: 301-247-285-991-8 | ||
| DOI: 10.35111/srvm-p675 | ||
| Language: | Akan | |
| English | ||
| Language (ISO639): | aka | |
| 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/LDC2021T02 | |
| Rights Holder: | Portions © 2002-2007, 2009-2010 Agence France Presse, © 2000 American Broadcasting Company, © 2000 Cable News Network LP, LLLP, © 2008 Central News Agency (Taiwan), © 1989 Dow Jones & Company, Inc., © 2008 Five Colleges, Incorporated, © 2005 Los Angeles Times - Washington Post News Service, Inc., © 2000 National Broadcasting Company, Inc., © 1999, 2005, 2006, 2010 New York Times, © 2017 NY State of Health, © 2000 Public Radio International, © 2003, 2005-2008, 2010 The Associated Press, © 2017 Toronto Community Housing Corporation, © 2011-2017 Watch Tower Bible and Tract Society of Pennsylvania, © 2003, 2005-2008 Xinhua News Agency, © 2021 Trustees of the University of Pennsylvania | |
| Type (DCMI): | Software | |
| Text | ||
| Type (OLAC): | lexicon | |
| primary_text | ||
OLAC Info |
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| 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 |
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| OaiIdentifier: | oai:www.ldc.upenn.edu:LDC2021T02 | |
| DateStamp: | 2023-01-27 | |
| 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. 2021. Linguistic Data Consortium. | |
| Terms: | area_Africa area_Europe country_GB country_GH dcmi_Software dcmi_Text iso639_aka iso639_eng olac_lexicon olac_primary_text | |