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Type of publication: Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Field of Science: Informatika / Computer science (N009)
Author(s): Berment, Vincent;Kapočiūtė-Dzikienė, Jurgita;Rimkutė, Erika
Title: Towards creation of a Lithuanian lemmatizer for open online collaborative machine translation
Is part of: ICIST 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
Extent: p. 515-527
Date: 2017
Note: Online ISBN 978-3-319-67642-5
Keywords: Lithuanian language;Lemmatization;Machine translation;Open-source
ISBN: 9783319676418
Abstract: This 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 lemmatizer
Affiliation(s): Humanitarinių mokslų fakultetas
Informatikos fakultetas
Lituanistikos katedra
Taikomosios informatikos katedra
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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