Dependency Parsing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F11%3A10107934" target="_blank" >RIV/00216208:11320/11:10107934 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Dependency Parsing

Popis výsledku v původním jazyce

Dependency parsing has been a prime focus of NLP research of late due to its ability to help parse languages with a free word order. Dependency parsing has been shown to improve NLP systems in certain languages and in many cases is considered the state of the art in the field. The use of dependency parsing has mostly been limited to free word order languages, however the usefulness of dependency structures may yield improvements in many of the word's 6,000+ languages. I will give an overview of the field of dependency parsing while giving my aims for future research. Many NLP applications rely heavily on the quality of dependency parsing. For this reason, I will examine how different parsers and annotation schemes influence the overall NLP pipeline inregards to machine translation as well as the the baseline parsing accuracy.

Název v anglickém jazyce

Dependency Parsing

Popis výsledku anglicky

Dependency parsing has been a prime focus of NLP research of late due to its ability to help parse languages with a free word order. Dependency parsing has been shown to improve NLP systems in certain languages and in many cases is considered the state of the art in the field. The use of dependency parsing has mostly been limited to free word order languages, however the usefulness of dependency structures may yield improvements in many of the word's 6,000+ languages. I will give an overview of the field of dependency parsing while giving my aims for future research. Many NLP applications rely heavily on the quality of dependency parsing. For this reason, I will examine how different parsers and annotation schemes influence the overall NLP pipeline inregards to machine translation as well as the the baseline parsing accuracy.

Druh

D - Stať ve sborníku

CEP obor

AI - Jazykověda

OECD FORD obor

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Projekt

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Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název statě ve sborníku

WDS'11 Proceedings of Contributed Papers, Part I

ISBN

978-80-7378-184-2

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

137-142

Název nakladatele

Matfyzpress

Místo vydání

Praha, Czechia

Místo konání akce

Praha, Czechia

Datum konání akce

31. 5. 2011

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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