In this paper, we present a unique approach to disambiguation Arabic using a synchronized rule-based model. This approach helps in highly accurate analysis of sentences. The analysis produces a semantic net like structure expressed by means of Universal Networking Language (UNL)a recently proposed interlingua. Extremely varied and complex phenomena of Arabic language have been addressed.

We describe the CMU submission for the 2014 shared task on language identification in code-switched data. We participated in all four language pairs: Spanish–English, Mandarin–English, Nepali–English, and Modern Standard Arabic–Arabic dialects. After describing our CRF-based baseline system, we discuss three extensions for learning from unlabeled data: semi-supervised learning, word embeddings,...

nowadays using new technologies in education is one of important challenges of educational associations. using new technologies cause increase of efficiency in education. in this paper, the place of it in education of 4 language skills has analyzed and difficulties of arabic language students in related courses have discussed. using computer, educational software, internet and other equipments ...

We investigate syntactic reordering within an English to Arabic translation task. We extend a pre-translation syntactic reordering approach developed on a close language pair (English-Danish) to the distant language pair, English-Arabic. We achieve significant improvements in translation quality over related approaches, measured by manual as well as automatic evaluations. These results prove th...

The Universal Networking Language (UNL) is an artificial language that can replicate human language functions in cyberspace in terms of hyper semantic networks. This paper aims to: a) design a reference grammar capable of dealing with the basic linguistic structures in order to act as a test-bed in automating translation between English and Arabic in both directions through UNL; b) evaluate the...

Morphological analysis and disambiguation are crucial stages in a variety of natural language processing applications such as machine translation, especially when languages with complex morphology are concerned such as Arabic. Arabic is a highly flexional language, in that, the same root can lead to various forms according to its context. In this paper, we present a system which disambiguates t...

This study compared cross-language speech perception of vowel length contrasts in Arabic and Japanese by two groups of listeners whose first language (L1) was either Cantonese (C) or Korean (K). Unlike Arabic or Japanese, C and K do not use vowel length contrastively. One group (CK+J) had experience learning Japanese as a foreign language while the other (CK) did not. The question of interest w...

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...

This paper addresses the problem of the development of Arabic Natural Language Interface for Information System Design. Most Arabic systems focus on processing Arabic text for machine translation or information retrieval. We present in this paper some aspects for identify Entities and Relationships from a description of the application domain given with a subset of the Arabic Natural Language. ...

This paper is a quick review of some of the scholarly work aiming at solving various problems of the Arabic language using neural networks. It includes some research work concerning online recognition of handwritten Arabic characters, speech recognition, offline character text recognition, text categorization and recognition of printed text. This paper concludes that more research should be con...