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

• 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; Datorlingvistik; Dependency Grammar; Germanic Languages; HUMANIORA och RELIGIONSVETENSKAP; HUMANITIES and RELIGION; Italian; Language; 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

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...