Open-Source Tools for Morphology, Lemmatization, POS Tagging and Named Entity Recognition

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10289420" target="_blank" >RIV/00216208:11320/14:10289420 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.aclweb.org/anthology/P/P14/P14-5003.pdf" target="_blank" >http://www.aclweb.org/anthology/P/P14/P14-5003.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Open-Source Tools for Morphology, Lemmatization, POS Tagging and Named Entity Recognition

Popis výsledku v původním jazyce

We present two recently released open-source taggers: NameTag is a free software for named entity recognition (NER) which achieves state-of-the-art performance on Czech; MorphoDiTa (Morphological Dictionary and Tagger) performs morphological analysis (with lemmatization), morphological generation, tagging and tokenization with state-of-the-art results for Czech and a throughput around 10-200K words per second. The taggers can be trained for any language for which annotated data exist, but they are specifically designed to be efficient for inflective languages. Both tools are free software under LGPL license and are distributed along with trained linguistic models which are free for non-commercial use under the CC BY-NC-SA license. The releases includestandalone tools, C++ libraries with Java, Python and Perl bindings and web services.

Název v anglickém jazyce

Open-Source Tools for Morphology, Lemmatization, POS Tagging and Named Entity Recognition

Popis výsledku anglicky

We present two recently released open-source taggers: NameTag is a free software for named entity recognition (NER) which achieves state-of-the-art performance on Czech; MorphoDiTa (Morphological Dictionary and Tagger) performs morphological analysis (with lemmatization), morphological generation, tagging and tokenization with state-of-the-art results for Czech and a throughput around 10-200K words per second. The taggers can be trained for any language for which annotated data exist, but they are specifically designed to be efficient for inflective languages. Both tools are free software under LGPL license and are distributed along with trained linguistic models which are free for non-commercial use under the CC BY-NC-SA license. The releases includestandalone tools, C++ libraries with Java, Python and Perl bindings and web services.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/LM2010013" target="_blank" >LM2010013: LINDAT-CLARIN: Institut pro analýzu, zpracování a distribuci lingvistických dat</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations

ISBN

978-1-941643-00-6

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

13-18

Název nakladatele

Association for Computational Linguistics

Místo vydání

Stroudsburg, PA, USA

Místo konání akce

Baltimore, MD, USA

Datum konání akce

23. 6. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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