Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/58942
Type of publication: Straipsnis konferencijos medžiagoje kitose duomenų bazėse / Article in conference proceedings in other databases (P1c)
Field of Science: Informatika / Informatics (N009);Informatikos inžinerija / Informatics engineering (T007)
Author(s): Mandravickaitė, Justina;Krilavičius, Tomas;Man, Ka Lok
Title: Automatic identification of multi-word expressions for Latvian and Lithuanian
Is part of: IMECS 2017 : Engineers and computer scientists: proceedings of the international multiconference, 2017, March 15-17, Hong Kong. Vol. 2. Hong Kong : Newswood Limited, 2017
Extent: p. 706-709
Date: 2017
Series/Report no.: (Lecture notes in engineering and computer science, 2078-0958)
Note: ISSN: 2078-0958 (Print); ISSN: 2078-0966 (Online)
Keywords: Terms—hybrid approach;Lexical association measures;Machine learning;Multi-word expressions
ISBN: 9789881404770
Abstract: We discuss an experiment on automatic identification of bi-gram multiword expressions for Latvian and Lithuanian. As these languages are considered to be underresourced in terms of lexical resources and availability or accuracy of special lexical tools (e.g. POS-tagger, parser), our approach uses raw corpora and combination of lexical association measures and supervised machine learning. We have achieved 92,4% precision and 52,2% recall for Latvian and 95,1% precision and 77,8% recall - for Lithuanian
Internet: http://www.iaeng.org/publication/IMECS2017/IMECS2017_pp706-709.pdf
Affiliation(s): Baltijos pažangių technologijų institutas, Vilnius
Baltijos pažangiųjų technologijų institutas, Vilnius. |li
Informatikos fakultetas
Taikomosios informatikos katedra
Vilniaus universitetas. |li
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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