In recent years, a group of researchers in Intelligent Computer-Assisted Language Learning (ICALL) has emphasized the importance of developing ICALL systems that can be incorporated into real-life language programs (Heift, 2003; Amaral and Meurers, 2006; Amaral, 2007) or used for specific pedagogical goals (Nagata, 2002; Dodigovic, 2005). Continuing this line of research and following the argum...

This paper explores the motivation and prerequisites of a successful integration of Intelligent Computer-Assisted Language Learning (ICALL) tools into current foreign language teaching and learning (FLTL) practice. We focus on two aspects, which we argue to be important for effective ICALL system development and use: (i) the relationship between activity design and restrictions needed to make n...

MOTIVATION Next-generation genotyping microarrays have been designed with insights from 1000 Genomes Project and whole-exome sequencing studies. These arrays additionally include variants that are typically present at lower frequencies. Determining the genotypes of these variants from hybridization intensities is challenging because there is less support to locate the presence of the minor alle...

This paper describes the development of an intelligent computer-assisted language learning (ICALL: Intelligent Computer Aided Language Learning) system for learning Arabic, especially, the advanced method of feedback and the approach for analysing learner’s answer. The corrective feedback is undoubtedly the attribute generally associated with the ICALL and the interactive language learning envi...

We present iCALL, a speech corpus designed to evaluate Mandarin Chinese pronunciation patterns of non-native speakers of European descent, developed at the Institute for Infocomm Research (IR) in Singapore. To the best of our knowledge, iCALL is larger than any reported non-native corpora to date in terms of utterance number, duration, and number of speakers: iCALL consists of 90,841 utterances...

In qualitative projects on ICALL (Intelligent Computer-Assisted Language Learning), research and development always go hand in hand: development both depends upon the research results and dictates the research agenda. Likewise, in the development of the Swedish ICALL platform Lärka, the practical issues of development have dictated its research agenda. With NLP approaches, sooner or later, the ...

Language practice that includes meaningful interaction is a critical component of many current language teaching theories. At the same time, existing research on intelligent computer-aided language learning (ICALL) systems has focused primarily on providing practice with grammatical forms. For most ICALL systems, content assessment of a learner response is limited to comparing it with a target ...

Intelligent Computer-Assisted Language Learning (ICALL) systems differentiate themselves from traditional CALL systems through their ability to analyze learner input. They can identify language properties and diagnose errors, which in principle allows ICALL systems to provide specific, individualized feedback for a wider range of learner input and activity types. Error diagnosis can be conceive...

Student models for Intelligent Computer Assisted Language Learning (ICALL) have largely focused on the acquisition of grammatical structures. In this paper, we motivate a broader perspective of student models for ICALL that incorporates insights from current research on second language acquisition and language testing. We argue for a student model that includes a representation of the learner’s...

Gaining the ability to speak proficiently is an important goal in second language learning, and grammatical correctness is an important dimension of oral proficiency. To acquire the ability to produce grammatically correct speech in everyday conversational situations, learners must practice producing speech until they can do so with little to no concious effort. For maximum pedagogical effectiv...