MaltParser: A language-independent system for data-driven dependency parsing

Parsing unrestricted text is useful for many language technology applications but requires parsing methods that are both robust and efficient. MaltParser is a language-independent system for data-driven dependency parsing that can be used to induce a parser for a new language from a treebank sample...

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Vydané v:	Natural language engineering Ročník 13; číslo 2; s. 95 - 135
Hlavní autori:	NIVRE, JOAKIM, HALL, JOHAN, NILSSON, JENS, CHANEV, ATANAS, ERYİGİT, GÜLŞEN, KÜBLER, SANDRA, MARINOV, SVETOSLAV, MARSI, ERWIN
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cambridge, UK Cambridge University Press 01.06.2007
Predmet:	Accuracy Algorithms Chinese Computational linguistics Computer Applications Computer Generated Language Analysis Computerized corpora Data Datorlingvistik Dependency Dependency Grammar Germanic Languages HUMANIORA och RELIGIONSVETENSKAP HUMANITIES and RELIGION Italian Language Languages Languages and linguistics Linguistic subjects Lingvistikämnen Machine learning Natural language Natural Language Processing Parsing Slavic Languages Språkvetenskap Systems engineering Tree Structures Turkish Istanbul Turkey Sweden Turkey
ISSN:	1351-3249, 1469-8110
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