Evaluation of English to Arabic Machine Translation Systems using BLEU and GTM

被引：5

作者：

Al-Rukban, Aljoharah ^{[1
]}

Saudagar, Abdul Khader Jilani ^{[1
]}

机构：

[1] Al Imam Mohammad Ibn Saud Islamic Univ IMSIU, Coll Comp & Informat Sci, Informat Syst Dept, Riyadh, Saudi Arabia

来源：

PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON EDUCATION TECHNOLOGY AND COMPUTERS (ICETC 2017) | 2017年

关键词：

Accuracy; Arabic; BLEU; English; Evaluation; GTM; Machine Translation System; Translate;

D O I：

10.1145/3175536.3175570

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The aim of this research study is to compare the effectiveness of three systems: Google Translator, Bing Translator and Golden Alwafi that are used to translate the corpus sentences from English language to Arabic language and then evaluate these sentences using two automatic evaluation methods viz., BLEU (Bilingual Evaluation Understudy) which is one of the most popular evaluation method and GTM (General Text Matcher) which is based on Recall, Precision, and F-measure. The scores obtained from the evaluation methods determine which one of these translation systems provides better translation. Higher the score means better translation and highly correlate with human translation. The results of this research study have revealed that Golden Alwafi achieves highest accuracy using BLEU and Google Translator attains highest accuracy with GTM method.

引用

页码：228 / 232

页数：5

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