A Statistical Method for English to Arabic Machine Translation
نویسندگان
چکیده
منابع مشابه
The MIRACL Arabic-English Statistical Machine Translation
This paper describes the MIRACL statistical Machine Translation system and the improvements that were developed during the IWSLT 2010 evaluation campaign. We participated to the Arabic to English BTEC tasks using a phrase-based statistical machine translation approach. In this paper, we first discuss some challenges in translating from Arabic to English and we explore various techniques to impr...
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Syntactic Reordering of the source language to better match the phrase structure of the target language has been shown to improve the performance of phrase-based Statistical Machine Translation. This paper applies syntactic reordering to English-to-Arabic translation. It introduces reordering rules, and motivates them linguistically. It also studies the effect of combining reordering with Arabi...
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In this paper, we report on a set of initial results for English-to-Arabic Statistical Machine Translation (SMT). We show that morphological decomposition of the Arabic source is beneficial, especially for smaller-size corpora, and investigate different recombination techniques. We also report on the use of Factored Translation Models for Englishto-Arabic translation.
متن کاملApplying Morphology to English-Arabic Statistical Machine Translation
We introduce two approaches to augmenting English-Arabic statistical machine translation (SMT) with linguistic knowledge. The first approach improves SMT by adding linguistically motivated syntactic features to particular phrases. These added features are based on the English syntactic information, namely part-of-speech tags and dependency parse trees. We achieved improvements of 0.2 and 0.6 in...
متن کاملApplying Morphology to English-Arabic Statistical Machine Translation
We introduce two approaches to augmenting English-Arabic statistical machine translation (SMT) with linguistic knowledge. The first approach improves SMT by adding linguistically motivated syntactic features to particular phrases. These added features are based on the English syntactic information, namely part-of-speech tags and dependency parse trees. We achieved improvements of 0.2 and 0.6 in...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/14957-3124