Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/58152
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dc.contributor.authorKapočiūtė-Dzikienė, Jurgita-
dc.contributor.authorBerment, Vincent-
dc.contributor.authorRimkutė, Erika-
dc.coverage.spatialCH-
dc.date.accessioned2018-10-07T01:36:44Z-
dc.date.available2018-10-07T01:36:44Z-
dc.date.issued2017-
dc.identifier.isbn9783319676418-
dc.identifier.otherVDU02-000021645-
dc.identifier.urihttps://hdl.handle.net/20.500.12259/58152-
dc.descriptionOnline ISBN 978-3-319-67642-5-
dc.description.abstractThis paper describes the baseline dictionary-based Lithuanian lemmatizer designed for an open online collaborative Machine Translation system. We evaluated our tool on the gold standard corpus composed of four different domains (official documents, fiction texts, scientific texts, and periodicals) containing ~1 million running words in total and obtained an encouraging accuracy equal to ~85.7%. Afterwards, we have made an error analysis, which will be used for the further improvements of our lemmatizeren
dc.description.sponsorshipHumanitarinių mokslų fakultetas-
dc.description.sponsorshipInformatikos fakultetas-
dc.description.sponsorshipLituanistikos katedra-
dc.description.sponsorshipTaikomosios informatikos katedra-
dc.description.sponsorshipVytauto Didžiojo universitetas-
dc.format.extentp. 515-527-
dc.language.isoen-
dc.relation.ispartofICIST 2017: 23rd international conference on Information and Software Technologies (ICIST), October 12-14, 2017, Druskininkai, Lithuania : proceedings / editors Damaševičius Robertas, Mikašytė Vilma. Cham : Springer International Publishing, 2017-
dc.relation.isreferencedbySpringerLINK-
dc.relation.isreferencedbyScopus-
dc.subjectLithuanian languageen
dc.subjectLemmatizationen
dc.subjectMachine translationen
dc.subjectOpen-sourceen
dc.subject.otherInformatika / Computer science (N009)-
dc.titleTowards creation of a Lithuanian lemmatizer for open online collaborative machine translationen
dc.typeStraipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)-
dc.identifier.doihttps://doi.org/10.1007/978-3-319-67642-5_43-
dcterms.bibliographicCitation17-
dc.date.updated2018-11-07T14:25Z-
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item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptTaikomosios informatikos katedra-
crisitem.author.deptLituanistikos katedra-
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications
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