ISSN: 2078-0958 (Print); ISSN: 2078-0966 (Online)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 LithuanianBaltijos pažangių technologijų institutas, VilniusBaltijos pažangiųjų technologijų institutas, Vilnius. |liTaikomosios informatikos katedraVilniaus universitetas. |liVytauto Didžiojo universiteta
Within the framework of an ongoing (2020-2022) project “Arbitrary Collocations of Lithuanian: Identi...
The article presents a new resource for A2-B2 learners of Lithuanian as L2 to improve their lexical ...
Despite the existence of effective methods that solve named entity recognition tasks for such widely...
ISSN: 1819-9224 (online version). Manuscript received October 10, 2017. This research was partly fun...
This research was funded by a grant (No. LIP- 027/2016) from the Research Council of LithuaniaWe dis...
Knygos ISBN 978-1-61499-701-6 (online)Identification of MultiWord Expressions (MWE) is one of the mo...
A Multi-Word Expression (MWE) is a sequence of >=2 words, which functions as a single unit at lingui...
eISSN 2071-2987. This research was funded by the Research Council of Lithuania (No. LIP-027/2016)). ...
Identification of Multiword Expressions is an important problem in Natural Language Processing, espe...
This work was supported by the IC1207 PARSEME COST action23, and national funded projects: LDPARSEME...
Straipsnyje aprašoma, kokie šiuo metu prieinami elektroniniai tekstynai ar duomenų bazės, kuriuose g...
This paper reports on a specific problem of automatic terminology extraction in Lithuanian – base fo...
As the development of information technologies makes progress, large morphologically annotated corpo...
We describe an approach for morphological analysis combining a rule-based word level morphological a...
This paper describes the PARSEME Shared Task 1.1 on automatic identification of verbal multiword exp...
Within the framework of an ongoing (2020-2022) project “Arbitrary Collocations of Lithuanian: Identi...
The article presents a new resource for A2-B2 learners of Lithuanian as L2 to improve their lexical ...
Despite the existence of effective methods that solve named entity recognition tasks for such widely...
ISSN: 1819-9224 (online version). Manuscript received October 10, 2017. This research was partly fun...
This research was funded by a grant (No. LIP- 027/2016) from the Research Council of LithuaniaWe dis...
Knygos ISBN 978-1-61499-701-6 (online)Identification of MultiWord Expressions (MWE) is one of the mo...
A Multi-Word Expression (MWE) is a sequence of >=2 words, which functions as a single unit at lingui...
eISSN 2071-2987. This research was funded by the Research Council of Lithuania (No. LIP-027/2016)). ...
Identification of Multiword Expressions is an important problem in Natural Language Processing, espe...
This work was supported by the IC1207 PARSEME COST action23, and national funded projects: LDPARSEME...
Straipsnyje aprašoma, kokie šiuo metu prieinami elektroniniai tekstynai ar duomenų bazės, kuriuose g...
This paper reports on a specific problem of automatic terminology extraction in Lithuanian – base fo...
As the development of information technologies makes progress, large morphologically annotated corpo...
We describe an approach for morphological analysis combining a rule-based word level morphological a...
This paper describes the PARSEME Shared Task 1.1 on automatic identification of verbal multiword exp...
Within the framework of an ongoing (2020-2022) project “Arbitrary Collocations of Lithuanian: Identi...
The article presents a new resource for A2-B2 learners of Lithuanian as L2 to improve their lexical ...
Despite the existence of effective methods that solve named entity recognition tasks for such widely...