ANALYSIS ON BILINGUAL MACHINE TRANSLATION SYSTEMS FOR ENGLISH AND TAMIL

被引：0

作者：

Sangavi, G. ^{[1
]}

Mrinalini, K. ^{[1
]}

Vijayalakshmi, P. ^{[1
]}

机构：

[1] SSN Coll Engn, Dept Elect & Commun Engn, Madras, Tamil Nadu, India

来源：

2016 INTERNATIONAL CONFERENCE ON COMPUTATION OF POWER, ENERGY INFORMATION AND COMMUNICATION (ICCPEIC) | 2016年

关键词：

Statistical machine translation; IBM models; BLEU score;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Language in any form is the fundamental requirement to communicate and interact within the human society. In this globalization era, we interact with people from different regions and linguistic backgrounds as per our interest in social, cultural, economical, educational and professional domain. It is quite tough, rather impossible to know all the languages. Thus we need a computerized approach to convert one natural language to another as per the necessity. In this paper, we discuss statistical machine translation for the languages Tamil and English limited to travel domain. The system aims to translate from English to Tamil and vice versa. GIZA++ tool is used for training the statistical models. The performance of the system is analyzed based on various performance metrics like BLEU score and TER.

引用

页码：245 / 250

页数：6

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