Authors:
Gözde Özbal
and
Carlo Strapparava
Affiliation:
FBK-Irst, Italy
Keyword(s):
Second language learning, Vocabulary acquisition, Keyword method, Latent semantic analysis, Levenshtein distance, Text animation.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Authoring Tools and Content Development
;
Computer-Supported Education
;
e-Learning
;
Enterprise Information Systems
;
Information Technologies Supporting Learning
;
Intelligent Tutoring Systems
Abstract:
Vocabulary acquisition is a very important step for learning a new language. On the other hand, many learners find this step difficult and time consuming. Several vocabulary teaching methods try to facilitate this step with various verbal and visual tips. However, the preparation of these tips generally necessitates a huge amount of time, money and human labor. In this paper, we propose to exploit Natural Language Processing driven creativity to develop an automatic system for task of vocabulary teaching. This system can automatically generate memorization tips for the words which users would like to memorize. The preliminary results are promising and motivating for further investigation, since they show that our approach can be quite effective on the related task.