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 discusses arguments on necessitating needs analysis with mixed methods in computer-assisted language learning (CALL). CALL researchers argue that a lack of technology integration planning hinders using effectively schools. would be because teachers may not wellprepared regarding the use leadership and integration, calling for analysis. The purpose this is to examine definition needs,...

This study investigated the influence of practice distribution (i.e. spacing between sessions) on successful vocabulary learning by examining two different time distributions, i.e. 1-day (1-DS) vs. 7-day (7-DS) using a freely available computer-assisted language programme (Quizlet). The achieved high ecological validity through classroom-based with low proficiency second (L2) English learners a...

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...

In this paper, we propose a new method for extracting bilingual collocations from a parallel corpus to provide phrasal translation memories. The method integrates statistical and linguistic information to achieve effective extraction of bilingual collocations. The linguistic information includes parts of speech, chunks, and clauses. The method involves first obtaining an extended list of Englis...

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...

CALL (Computer Assisted Language Learning) systems using ASR (Automatic Speech Recognition) for second language learning have received increasing interest recently. However, it still remains a challenge to achieve high speech recognition performance, including accurate detection of erroneous utterances by non-native speakers. Conventionally, possible error patterns, based on linguistic knowledg...

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...