This work consists of creating a system of the Computer Assisted Language Learning (CALL) based on a system of Automatic Speech Recognition (ASR) for the Arabic language using the tool CMU Sphinx3 [1], based on the approach of HMM. To this work, we have constructed a corpus of six hours of speech recordings with a number of nine speakers. we find in the robustness to noise a grounds for the cho...

The use of a computer assisted language learning (CALL) to facilitate ESL has a history dating back to the 1950’s. With advances in technology CALL based curriculums have become more accessible to educators in the ESL field. CALL based programs are being used to improve reading, comprehension, writing skills and pronunciation skills of students engaged in ESL studies. The focus of this paper wi...

The main characteristics of mobile learning (m-learning) are recognized as the potential for learning process to be personalized, spontaneous, informal and ubiquitous. Although learning through mobile phones may take longer time compared to computers, the learners feel a greater sense of freedom of time and place, so that they can take the advantage of spare time to learn a second language when...

We present a computer-assisted language learning (CALL) system that generates fill-in-the-blank items for preposition usage. The system takes a set of carrier sentences as input, chooses a preposition in each sentence as the key, and then automatically generates distractors. It personalizes item selection for the user in two ways. First, it logs items to which the user previously gave incorrect...

This study aimed to investigate the effect of using vocabulary software on the vocabulary learning of Iranian EFL learners. Participants of the study were 54 intermediate-level students (23 males and 31 females) learning English as a foreign language in Mehr Institute in Izeh who were selected after taking the Nelson English Language Test as a proficiency test. They were randomly divided into t...

Qualitative research in computer-assisted language learning (CALL) has received more attention recently, most evidently from the publications of two special issues on qualitative CALL by CALICO Journal (2015) and Language Learning & Technology (2018). The inherent strength studies is that they celebrate depth interpretation focusing specific contexts a small number participants. Yet this can so...

Before the COVID-19 pandemic, universities in Japan had been slow to transition from paper-based digital methods and materials. In addition, most applicable theories for teaching learning languages with technologies not considered deeply by many university teachers, their beliefs about these thoroughly investigated. This paper presents a preliminary investigation of theoretical assumptions Engl...

Nowadays it is quite difficult for the traditional teaching methods and resources to meet the widespread and urgent needs of spoken English learning. Computer-assisted Language Learning (CALL) technology can greatly improve the efficiency of language self-learning, providing timely, accurate and objective assessment and feedback which can help learners to find the difference between their own p...

Collaborative Knowledge Building Indicators Extraction in Distance Learning Natural Language Processing techniques are still not very much used within the field of Technology Enhanced Learning. They are restricted to specific tasks or domains such as CALL (standing for Computer Assisted Language Learning) in which they are ubiquitous but do not match every linguistic aspect they could process. ...

This paper reviews software design guidelines from the field of Computer Assisted Language Learning (CALL) and empirical results from the field of vocabulary acquisition. We categorize the empirical evidence in terms of three key aspects of instructional software for vocabulary teaching: task type, media and scheduling. We describe how design of an online adaptive vocabulary teaching system inc...