Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/36623
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dc.contributor.authorMandravickaitė, Justina-
dc.contributor.authorKrilavičius, Tomas-
dc.coverage.spatialUS-
dc.date.accessioned2018-05-28T06:36:27Z-
dc.date.available2018-05-28T06:36:27Z-
dc.date.issued2017-
dc.identifier.isbn9781945626487-
dc.identifier.otherVDU02-000022094-
dc.identifier.urihttps://hdl.handle.net/20.500.12259/36623-
dc.identifier.urihttps://eltalpykla.vdu.lt/handle/1/36623-
dc.descriptionThis research was funded by a grant (No. LIP- 027/2016) from the Research Council of Lithuania-
dc.description.abstractWe discuss an experiment on automatic identification of bi-gram multiword expressions in parallel Latvian and Lithuanian corpora. Raw corpora, lexical association measures (LAMs) and supervised machine learning (ML) are used due to deficit and quality of lexical resources (e.g., POS-tagger, parser) and tools. While combining LAMs with ML is rather effective for other languages, it has shown some nice results for Lithuanian and Latvian as well. Combining LAMs with ML we have achieved 92,4% precision and 52,2% recall for Latvian and 95,1% precision and 77,8% recall for Lithuanianen
dc.description.sponsorshipBaltijos pažangių technologijų institutas, Vilnius-
dc.description.sponsorshipBaltijos pažangiųjų technologijų institutas-
dc.description.sponsorshipInformatikos fakultetas-
dc.description.sponsorshipTaikomosios informatikos katedra-
dc.description.sponsorshipVilniaus universitetas-
dc.description.sponsorshipVytauto Didžiojo universitetas-
dc.format.extentp. 97-101-
dc.language.isoen-
dc.relation.ispartofEACL 2017: 13th workshop on multiword expressions, April 4, 2017 Valencia, Spain: proceedings of the workshop. Stroudsburg : Association for Computational Linguistics, 2017-
dc.rightsSutarties data 2018-01-15, nr. B000333, laisvai prieinamas internetelt_LT
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/3.0/-
dc.subjectHybrid methodsen
dc.subjectLexical association measuresen
dc.subjectMachines learningen
dc.subject.otherInformatika / Computer science (N009)-
dc.titleIdentification of multiword expressions for Latvian and Lithuanian: hybrid approachen
dc.typeStraipsnis recenzuojamoje užsienio tarptautinės konferencijos medžiagoje / Article in peer-reviewed foreign international conference proceedings (P1d)-
dcterms.bibliographicCitation18-
dc.date.updated2018-05-28T11:35Z-
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local.typeP-
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptTaikomosios informatikos katedra-
crisitem.author.deptTaikomosios informatikos katedra-
Appears in Collections:3. Konferencijų medžiaga / Conference materials
Universiteto mokslo publikacijos / University Research Publications
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