Building Corpora for the Development of a Dependency Parser for Spanish Using Maltparser

被引：0

作者：

Herrera, Jesus ^{[1
]}

Gervas, Pablo ^{[2
]}

Moriano, Pedro J. ^{[2
]}

Munoz, Alfonso ^{[2
]}

Romero, Luis ^{[2
]}

机构：

[1] Univ Nacl Educ Distancia, Dept Lenguajes & Sistemas Informat, C Juan del Rosal 16, E-28040 Madrid, Spain

[2] Univ Complutense Madrid, Dept Ingn Software & Inteligencia Artificial, E-28040 Madrid, Spain

来源：

PROCESAMIENTO DEL LENGUAJE NATURAL | 2007年 / 39期

关键词：

Dependency parsing; training corpus; syntactic function label; Maltparser; JBeaver;

D O I：

暂无

中图分类号：

H0 [语言学];

学科分类号：

030303 ; 0501 ; 050102 ;

摘要：

The present paper details the process followed for creating training and test corpora for a dependency parser generator (Maltparser). The starting point is the Cast3LB corpus, which contains constituency analyses of Spanish texts. These constituency analyses are automatically transformed into dependency analyses. In addition, the empirically and semiautomatically obtention of a set of syntactic function labels for the training corpus is described. As a result of the process followed, it has been obtained a dependency parser for Spanish showing a 91% precision when determining dependencies.

引用

页码：181 / 186

页数：6

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