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...

This paper describes the development of an intelligent computer-assisted language learning (ICALL) system for learning Arabic. This system could be used for learning Arabic by students at primary schools or by learners of Arabic as a second or foreign language. It explores the use of Natural Language Processing (NLP) techniques for learning Arabic. The learners are encouraged to produce sentenc...

In this article we focus firstly on the principle of pedagogical indexing and characteristics of Arabic language and secondly on the possibility of adapting the standard for describing learning resources used (the LOM and its Application Profiles) with learning conditions such as the educational levels of students and their levels of understanding,... the educational context with taking into ac...

In this memory we made the design of an indexing model for Arabic language and adapting standards for describing learning resources used (the LOM and their application profiles) with learning conditions such as levels education of students, their levels of understanding... the pedagogical context with taking into account the representative elements of the text, text's length,... in particular, ...

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,...

This article focuses on the development of Natural Language Processing (NLP) tools for Computer Assisted Language Learning (CALL). First, we have developed some NLP tools: a labelled dictionary of Arabic (as complete as possible), a generator for morphological derivatives, a Conjugator and a morphological analyzer for Arabic. Second, we used these tools to create a number of educational applica...

the current research is based on comprehensive studies in the field of arabic dictionaries compilations as well as experiences of authors in imparting the arabic language education in iran for years. as any language learning requires a dictionary, and since researchers in the area of second language teaching always suggest using monolingual dictionaries, it seems necessary to discuss the merits...