scholarly journals Transcribing Southern Min speech corpora with a Web-Based language learning system

2008 ◽  
Author(s):  
Jun Cai ◽  
Jacques Feldmar ◽  
Yves Laprie ◽  
Dominique Fohr ◽  
Jean-Paul Haton
Keyword(s):  
Language Learning ◽  
Learning System ◽  
Web Based ◽  
Speech Corpora ◽  
Southern Min

EVALUATING THE INTELLIGENT FEATURES OF A WEB-BASED INTELLIGENT COMPUTER ASSISTED LANGUAGE LEARNING SYSTEM

2004 ◽  
Vol 13 (02) ◽  
pp. 411-425 ◽  
Author(s):  
VICTORIA TSIRIGA ◽  
MARIA VIRVOU
Keyword(s):  
Language Learning ◽  
Intelligent System ◽  
Learning System ◽  
Three Dimensions ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Web Based ◽  
Effective Use ◽  
Intelligent Computer ◽  
The Web

In this paper we present and discuss the results of the evaluation of an Intelligent Computer Assisted Language Learning (ICALL) system that operates over the Web. In particular, we aimed at evaluating the system along three dimensions: a) the effect of the intelligent features of the system on the learning outcome of students, b) the system's ability to provide individualized support to students that leads to more effective use of the system and c) the general usability and friendliness of the ICALL. To achieve this, we conducted an empirical study, where we compared the intelligent system with a non-intelligent version of it. The results of the study revealed that the students of the Web-based ICALL had gained more knowledge of the domain and had been able to interact with the system more effectively as compared to the students that had used the non-intelligent version of the system. However, the students of the intelligent version of the system found it more difficult and they needed more time to get acquainted with the system in comparison to the students of the non-intelligent system.

The Design of an Intelligent Web-Based Interactive Language Learning System

2002 ◽  
Vol 27 (3) ◽  
pp. 229-248 ◽  
Author(s):  
Chin-Hwa Kuo ◽  
David Wible ◽  
Meng-Chang Chen ◽  
Li-Chun Sung ◽  
Nai-Lung Tsao ◽  
...  
Keyword(s):  
Language Learning ◽  
Learning Environments ◽  
Learning System ◽  
Target Language ◽  
Web Based ◽  
English Writing ◽  
Learner Corpus ◽  
Basic Language ◽  
Content Preparation ◽  
Persistent Errors

The design of an Intelligent Web-based Interactive Language Learning (IWiLL) system to support English learning on the Internet is described. We designed two kinds of learning environments: 1) an interactive English writing environment; and 2) an authentic conversation learning environment. These are intended to improve learners' basic language skills in listening, reading, speaking, and writing. In addition, the system also offers authoring tools that facilitate teachers' content preparation. The system not only provides multimedia learning environments for users, but also builds a learner corpus, an archive of English texts written by learners for whom English is a second language. Further analysis of the learner corpus creates the potential to detect the users' persistent errors and then to provide adequate help to the users. An important aspect of the system is the careful integration of the multimedia environments in ways that systematically enrich the learners exposure to and grasp of specific aspects of the target language. For example, particular targeted vocabulary items can be encountered in text as well as video. The system also is designed to track a variety of facets of each learner's interaction with the environment. This tracked data in turn supports spiraling of English material that the learner has encountered.

Applied Technology in an Interactive Design for a Web-Based Language Teaching System

2014 ◽  
Vol 886 ◽  
pp. 621-624
Author(s):  
Yi Fei Zhang ◽  
Chun Yan Ke
Keyword(s):  
Language Learning ◽  
Online Teaching ◽  
Language Teaching ◽  
Learning System ◽  
Web Based ◽  
J2ee Platform ◽  
Applied Technology ◽  
Teaching Efficiency ◽  
Ideal Composition ◽  
Resources Sharing

Information applied technology has greatly promoted language teaching efficiency through resources sharing, distributing and optimizing. In order to demonstrate how to construct a highly efficient teaching platform with the help of J2EE platform, the paper analyzes an ideal composition of an online language learning system, illustrates the way in which designers create a harmonious online teaching environment from the aspect of MVC architecture and software choosing, setting forth an interactive model design for a web-based ELT system.

scholarly journals An Autonomous Learning System of Bengali Characters Using Web-Based Intelligent Handwriting Recognition

2016 ◽  
Vol 5 (3) ◽  
pp. 122 ◽  
Author(s):  
Nazma Khatun ◽  
Jouji Miwa
Keyword(s):  
Language Learning ◽  
Education System ◽  
Handwriting Recognition ◽  
Recognition Algorithm ◽  
Learning System ◽  
Autonomous Learning ◽  
Web Based ◽  
Online Handwriting Recognition ◽  
Short Period ◽  
Literacy Level

<p>This research project was aimed to develop an intelligent Bengali handwriting education system to improve the<strong> </strong>literacy level in Bangladesh. Due to the socio-economical limitation, all of the population does not have the chance to go to school. Here, we developed a prototype of web-based (iPhone/smartphone or computer browser) intelligent handwriting education system for autonomous learning of Bengali characters that allows students to do practice their handwriting at anywhere at any time. As an intelligent tutor, the system can automatically check the handwriting errors, such as stroke production errors, stroke sequence errors, stroke relationship errors and immediately provide colourful error feedback to the students to correct themselves. Bengali is a multi-stroke input characters with extremely long cursive shape where it has stroke order variability and stroke direction variability. Due to this structural limitation, recognition speed is a crucial issue to apply traditional online handwriting recognition algorithm. In this work, we have adopted hierarchical recognition approach to improve the recognition speed that makes our system adaptable for web-based language learning. We applied writing speed free recognition methodology together with hierarchical recognition algorithm. It ensured the learning of all aged population, especially for children and older people. Finally, we conducted a survey in Bangladesh for the performance analysis of our proposed education system. The experimental results showed that our autonomous learning methodology helped to improve the average recognition accuracy by 4.1% (from 87.2% to 91.4%) with average Mean-Opinion-Score 4.1. It confirmed that the successful use of web-based Bengali handwriting education system can be very helpful to improve the literacy level in Bangladesh within a very short period.<strong></strong></p>

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