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dc.date.accessioned2022-01-21T19:40:28Z
dc.date.available2022-01-21T19:40:28Z
IdentifierELRA-S0229
dc.identifier.urihttp://metashare.elda.org/repository/browse/35536098de7511e2b1e400259011f6eaeeaba963df83490f91c8ff837d0923a0/
dc.identifier.urihttp://linghub.org/handle/123456789/1121524
DescriptionThe LC-STAR Turkish lexicon was created within the scope of the LC-STAR project (IST 2001-32216) which was sponsored by the European Commission. The lexicon comprises about 104,513 words, distributed over two categories: - a set of 59,213 common word entries (including entries from the special application list and closed class set of words). This set is extracted from a corpus of more than 20 million words distributed over 6 different domains (sports/games, news, finance, culture/entertainment, consumer information, personal communications). This was done with the aim of reaching a target for each domain of at least 95% self coverage. In addition to extracting word lists from the corpus, a list of closed set (function) word classes are included in the final word list. - a set of 45,300 proper names (including person names, family names, cities, streets, companies and brand names) divided into 3 domains. Multiple word names such as New_York are kept together in all three domains, and they count as one entry. The 3 domains consist of first and last names (23,573 different entries), place names (11,364 different entries), and organisations (11,273 different entries). The lexicon is provided in XML format and includes phonetic transcriptions in SAMPA. The database is stored on 1 CD.
Languagetur
dc.language.isotur
RightsELRA_END_USER
RightsELRA_VAR
SourceMETA-SHARE
TitleLC-STAR Turkish phonetic lexicon
Typelexicon
dcterms.created2005-05-12
dcterms.hasVersion1.0
dcterms.issued2014-09-23
dcterms.licensehttp://www.elra.info/IMG/pdf_VAR_140312.pdf
dcterms.licensehttp://www.elra.info/IMG/pdf_ENDUSER_140312.pdf
dcterms.modified2008-02-12
rdf.typehttp://www.w3.org/ns/dcat#Dataset
rdf.typehttp://purl.org/net/def/metashare#LanguageResource


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Horizon 2020

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 825182.