Part-of-speech tagging based on machine translation techniques

被引：0

作者：

Gasco i Mora, Guillem ^{[1
]}

Sanchez Peiro, Joan Andreu ^{[1
]}

机构：

[1] Univ Politecn Valencia, Dept Sistemas Informat & Computacio, Cami Vera SN, Valencia 46022, Spain

来源：

PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 1, PROCEEDINGS | 2007年 / 4477卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a new approach to the Part-of-Speech (PoS) tagging problem is proposed. The PoS tagging problem can be viewed as a special translation process where the source language is the set of strings being considered and the target language is the sequence of POS tags. In this work, we have used phrase-based machine translation technology to tackle the PoS tagging problem. Experiments on the Penn Treebank WSJ task were carried out and very good results were obtained.

引用

页码：257 / +

页数：2

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