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...

As technology increasingly takes center stage of our lives, there are compelling reasons for incorporating technologies into the classroom. The prevailing of CALL (Computer Assisted Language Learning) has greatly changed the traditional teaching mode and added new contents into the existing teaching materials. As a significant skill for EFL (English as a Foreign Language) learners, there are ab...

Freehand Sketch Recognition for Computer-Assisted Language Learning of Written East Asian Languages. (December 2010) Paul Piula Taele, B.S., The University of Texas at Austin Chair of Advisory Committee: Dr. Tracy Hammond One of the challenges students face in studying an East Asian (EA) language (e.g., Chinese, Japanese, and Korean) as a second language is mastering their selected language’s w...

This paper describes a dialogue-based CALL (Computer Assisted Language Learning) system. One of the major problems in CALL systems is that learners are usually assigned a passive role. Learners have no practices in composing their own utterances. The other major problem is that lots of the proposed CALL systems are the pronunciation exercise systems such as minimal pairs. The pronunciation exer...

Features Bridging the Gap: Delivering Distance Education Courses on the Web —Peter Golz 17 Computer Assisted Writing in CALL—Chiaki Iwai 25 Creating Web-Based Soap Operas for Learning English—Ken Koebke 35 Multimedia in Language Instruction: Challenges and Solutions —Jörg Roche 45 Teaching the Previous fin de stiele w i t h the Help of Current fin de siMe Technology—Gary Smith 53 Accessible Aut...

This paper describes a dialogue-based CALL (Computer Assisted Language Learning) system. One of the major problems in CALL systems is that learners are usually assigned a passive role. Learners have no practices in composing their own utterances. The other major problem is that lots of conventional CALL systems are pronunciation exercise systems. However, pronunciation exercise is only a part o...

Speech-enabled systems for computer-assisted language learning (CALL) offer a number of advantages for language learners. These systems make it possible to address individual problems of the learners, allow practising at self-paced speed, and the opportunity to practise is not limited to the time the teacher is available. They offer a possibility to store student profiles in log-files, and both...

1 Background and objectives of the project 1.1 Background The most prevalent forms of information technology in computer-assisted language learning (CALL) applications are email, multimedia and computerised multiple-choice test forms. Until recently, the contribution of language technology (LT) to CALL has been next to nonexistent, although there is now a growing amount of work in the LT commun...

ALLES is a new project on Computer-Assisted Language Learning (CALL) for advanced learners of English, German, Spanish and Catalan in the domain of business and economy. NLP tools and techniques will play an important role in ALLES for evaluating user ́s oral and written production as well as for gathering and tailoring teaching materials.