English to Persian Machine Translation exploiting Semantic Word Sense Disambiguation

被引：0

作者：

Motazedi, Yasaman ^{[1
]}

Shamsfard, Mehnoush ^{[2
]}

机构：

[1] Islamic Azad Univ, Sci & Res Branch, Tehran, Iran

[2] Shahid Beheshti Univ, ECE Fac, NLP Res Lab, Tehran, Iran

来源：

2009 14TH INTERNATIONAL COMPUTER CONFERENCE | 2009年

关键词：

English to Persian Machine Translation; Word Sense Disambiguation; semantic WSD;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

PEnT1 is an automatic English to Persian text translator. It translates simple English sentences into Persian, exploiting a combination of rule based and semantic approaches. It covers all the twelve tenses in English in both passive and active verbs for indicative, negative, interrogative sentences. In this paper, introducing PEnT1, we propose a new WSD method by presenting a hybrid measure to score different senses of a word. We also discuss prototyping some linguistic resources to test our methods.

引用

页码：252 / +

页数：2

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