WeMiT: Web-Mining for Translation

被引：0
|
作者：
Roche, Mathieu [1 ]
Garbasevschi, Oana Mihaela [2 ]
机构：
[1] Univ Montpellier 2, CNRS, LIRMM, F-34095 Montpellier 5, France
[2] Univ Montpellier 2, F-34095 Montpellier 5, France
来源：
20TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (ECAI 2012) | 2012年 / 242卷
关键词：
D O I：
10.3233/978-1-61499-098-7-993
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The quality of machine translation is often dependent on the quality of lexical transfer from a source language to a target language. In this work we present an automatic method to translate specialized terms. The proposed approach is based on two steps: (1) extraction of candidates for translation into web pages, (2) identification of the most relevant candidates by using web-mining techniques.
引用
收藏
页码：993 / +
页数：2
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