Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/33093
Type of publication: Article in the peer-reviewed foreign international conference proceedings (P1d);Straipsnis recenzuojamoje užsienio tarptautinės konferencijos medžiagoje (P1d)
Field of Science: Computer science (N009);Informatika (N009)
Author(s): Utka, Andrius;Vitkutė-Adžgauskienė, Daiva;Krilavičius, Tomas;Amilevičius, Darius
Title: NLP infrastructure for the Lithuanian language
Is part of: LREC 2016 : 10th international conference on Language resources and evaluation, 23-28 May, 2016, Portorož, Slovenia : proceedings. Paris : European Language Resources Association, 2016
Extent: p. 2539-2542
Date: 2016
Keywords: Natural language;Lithuanian language;Language technology infrastructure;Natūrali kalba;Lietuvių kalba;Kalbos technologijų infrastruktūra
ISBN: 9782951740891
Abstract: The Information System for Syntactic and Semantic Analysis of the Lithuanian language (lith. Lietuvių kalbos sintaksinės ir semantinės analizės informacinė sistema, LKSSAIS) is the first infrastructure for the Lithuanian language combining Lithuanian language tools and resources for diverse linguistic research and applications tasks. It provides access to the basic as well as advanced natural language processing tools and resources, including tools for corpus creation and management, text preprocessing and annotation, ontology building, named entity recognition, morphosyntactic and semantic analysis, sentiment analysis, etc. It is an important platform for researchers and developers in the field of natural language technology
Internet: https://eltalpykla.vdu.lt/1/33093
http://www.lrec-conf.org/proceedings/lrec2016/index.html
https://hdl.handle.net/20.500.12259/33093
Affiliation(s): Humanitarinių mokslų fakultetas
Informatikos fakultetas
Lituanistikos katedra
Vytauto Didžiojo universitetas
Taikomosios informatikos katedra
Appears in Collections:1. Straipsniai / Articles
Universiteto mokslo publikacijos / University Research Publications

Files in This Item:
marc.xml7.78 kBXMLView/Open

MARC21 XML metadata

Show full item record

Page view(s)

84
checked on May 24, 2019

Download(s)

14
checked on May 24, 2019

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons