We present a comparison of two approaches for Arabic-Chinese machine translation using English as a pivot language: sentence pivoting and phrase-table pivoting. Our results show that using English as a pivot in either approach outperforms direct translation from Arabic to Chinese. Our best result is the phrase-pivot system which scores higher than direct translation by 1.1 BLEU points. An error...

We demonstrate the feasibility of using unsupervised morphological segmentation for dialects of Arabic, which are poor in linguistics resources. Our experiments using a Qatari Arabic to English machine translation system show that unsupervised segmentation helps to improve the translation quality as compared to using no segmentation or to using ATB segmentation, which was especially designed fo...

The present study examines social history of the Graeco-Arabic translation movement from perspective Christian communities that participated in it. Special attention is given to Melkite and Nestorian translators active ʿAbbāsid Baghdad – late eighth-century translator al-Biṭrīq famous ninth-century Ḥunayn ibn Isḥāq complex interactions between Melkites Nestorians, which involved both competitio...

In this thesis, we present methods for using linguistically motivated information to enhance the performance of statistical machine translation (SMT). One of the advantages of the statistical approach to machine translation is that it is largely languageagnostic. Machine learning models are used to automatically learn translation patterns from data. SMT can, however, be improved by using lingui...

In this paper, we implement a multilingual Statistical Machine Translation (SMT) system for Arabic-English Translation. Arabic Text can be categorized into standard and dialectal Arabic. These two forms of Arabic differ significantly. Different mono-lingual and multi-lingual hybrid SMT approaches are compared. Mono-lingual systems do always result in better translation accuracy in one Arabic fo...

This paper presents a hybrid approach to the enhancement of English to Arabic statistical machine translation quality. Machine Translation has been defined as the process that utilizes computer software to translate text from one natural language to another. Arabic, as a morphologically rich language, is a highly flexional language, in that the same root can lead to various forms according to i...

Arabic is a morphologically rich and complex language, which presents significant challenges for natural language processing and machine translation. In this paper, we describe an ongoing effort to build our first Arabic-French phrase– based machine translation system using the Moses decoder among other linguistic tools. The results show an improvement in the quality of translation and a gain i...

performing translation task which converts text or speech in one Natural Language (Source Language (SL)) into another Natural Language (Target Language (TL)). The translation from Arabic to English is difficult task due to the Arabic languages are highly inflectional, rich morphology and relatively free word order. Word ordering plays an important part in the translation process. The paper prop...

In Cross Language Information Retrieval (CLIR), queries in one language retrieve documents in other language(s). This can be done through Query Translation that comes up against Translation/Transliteration challenges like ambiguity as the main problems. In this paper, a comprehensive solution has been introduced for these challenges. 1, 4 powerful English/Arabic Machine Readable Dictionaries (M...

there are references to aristotle’s view points about meteorology in ?asfizari’s treatise entitled athar-i ulwi that have not been existed in the arabic translation of aristotle’s meteorologica. ibn bitr?k, the arabic translator, did not translate some parts of the book and there are mistakes in his translation. asfizari has also mentioned some points which cannot be found in the original work ...