Paper Info
Title
A Survey of Intelligent Language Tutoring Systems
Abstract
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.
Year
DOI
Venue
2014
10.1109/ICACCI.2014.6968503
Advances in Computing, Communications and Informatics
Keywords
DocType
ISBN
intelligent tutoring systems,linguistics,natural language processing,Arabic ILTS,NLP techniques,entailment,intelligent language tutoring systems,latent sematic analysis,morphologically rich languages,natural language processing,semitic languages,Arabic Langauge,ILTS,ITS,Intelligent Language Tutoring systems,Natural Language Processing
Conference
978-1-4799-3078-4
Citations 
PageRank 
References 
1
0.35
16
Authors
2
Name
Order
Citations
PageRank
Mustafa Al Emran110.35
Khaled F. Shaalan250639.80