Automated Generation of Example Contexts for Helping Children Learn Vocabulary
Workshop Paper, ISCA International Workshop on Speech and Language Technology in Education (SLaTE '09), pp. 129 - 132, September, 2009
Abstract
This paper addresses the problem of generating good example contexts to help children learn vocabulary. We construct candidate contexts from the Google N-gram corpus. We propose a set of constraints on good contexts, and use them to filter candidate example contexts. We evaluate the automatically generated contexts by compar
BibTeX
@workshop{Liu-2009-122134,author = {Liu Liu and Jack Mostow and Gregory Aist},
title = {Automated Generation of Example Contexts for Helping Children Learn Vocabulary},
booktitle = {Proceedings of ISCA International Workshop on Speech and Language Technology in Education (SLaTE '09)},
year = {2009},
month = {September},
pages = {129 - 132},
}
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.