A Survey of Intelligent Language Tutoring Systems

被引：0

作者：

Al Emran, Mustafa ^{[1
]}

Shaalan, Khaled ^{[2
]}

机构：

[1] British Univ Dubai, Al Buraimi Univ Coll, Al Buraimi, Oman

[2] British Univ Dubai, Dubai, U Arab Emirates

来源：

2014 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI) | 2014年

关键词：

Intelligent Language Tutoring systems; ILTS; ITS; Natural Language Processing; Arabic Langauge;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Intelligent Languages Tutoring Systems (ILTSs) plays a significant role in evaluating students' answers through interaction with them. ILTSs implements Natural Language processing (NLP) techniques in order to allow free input of words and sentences. ILTSs have the capability of identifying the input errors and provide an immediate feedback along with the errors source. It has been observed that ILTSs were not surveyed intensively; the reason that motivates us to conduct this research. Some NLP recent trends such as Latent Sematic Analysis and entailment were demonstrated. Different ILTSs have been discussed with a dedicated section about the development of Arabic ILTSs. Arabic share many of its characteristics with Semitic and morphologically rich languages. In our presentation we point out new trends that have been emerged while conducting survey.

引用

页码：393 / 399

页数：7

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