Parallel Corpora Preparation for English-Amharic Machine Translation

被引：2
|
作者：
Biadgligne, Yohanens [1 ]
Smaili, Kamel [2 ]
机构：
[1] Bahir Dar Inst Technol, Bahir Dar, Ethiopia
[2] Loria Univ Lorraine, Nancy, France
来源：
ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2021, PT I | 2021年 / 12861卷
关键词：
Amharic language; Machine translation; SMT; NMT; Parallel corpus; BLEU;
D O I：
10.1007/978-3-030-85030-2_37
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we describe the development of an English-Amharic parallel corpus and Machine Translation (MT) experiments conducted on it. Two different tests have been achieved. Statistical Machine Translation (SMT) and Neural Machine Translation (NMT) experiments. The performance using the bilingual evaluation understudy metric (BLEU) shows 26.47 and 32.44 respectively for SMT and NMT. The corpus was collected from the Internet using automatic and semi automatic techniques. The harvested corpus concerns domains coming from Religion, Law, and News. Finally, the corpus, we built is composed of 225,304 parallel sentences, it will be shared for free with the community. In our knowledge, this is the biggest parallel corpus so far concerning the Amharic language.
引用
收藏
页码：443 / 455
页数：13
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