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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Bibliographic Details
Published in:	Natural language engineering Vol. 13; no. 2; pp. 95 - 135
Main Authors:	NIVRE, JOAKIM, HALL, JOHAN, NILSSON, JENS, CHANEV, ATANAS, ERYİGİT, GÜLŞEN, KÜBLER, SANDRA, MARINOV, SVETOSLAV, MARSI, ERWIN
Format:	Journal Article
Language:	English
Published:	Cambridge, UK Cambridge University Press 01.06.2007
Subjects:	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
Online Access:	Get full text
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