Evaluating English to Arabic Machine Translation Using BLEU

被引:0
|
作者
Al-Kabi, Mohammed N. [1 ,3 ,4 ,5 ,6 ]
Hailat, Taghreed M. [2 ]
Al-Shawakfa, Emad M. [2 ]
Alsmadi, Izzat M. [2 ]
机构
[1] Zarqa Univ, Fac Sci & IT, Zarqa, Jordan
[2] Yarmouk Univ, Fac IT & CS, Irbid 21163, Jordan
[3] Yarmouk Univ, Irbid, Jordan
[4] Nahrain Univ, Baghdad, Iraq
[5] Mustanserya Univ, Baghdad, Iraq
[6] Jordan Univ Sci & Technology, Irbid, Jordan
关键词
component; Machine Translation; Arabic; Google Translator; Babylon Translator; BLEU;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This study aims to compare the effectiveness of two popular machine translation systems (Google Translate and Babylon machine translation system) used to translate English sentences into Arabic relative to the effectiveness of English to Arabic human translation. There are many automatic methods used to evaluate different machine translators, one of these methods; Bilingual Evaluation Understudy (BLEU) method, which was adopted and implemented to achieve the main goal of this study. BLEU method is based on the assumptions of automated measures that depend on matching machine translators' output to human reference translations; the higher the score, the closer the translation to the human translation will be. Well known English sayings in addition to manually collected sentences from different Internet web sites were used for evaluation purposes. The results of this study have showed that Google machine translation system is better than Babylon machine translation system in terms of precision of translation from English to Arabic.
引用
收藏
页码:66 / 73
页数:8
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