Detmar Meurers, Ramon Ziai, Luiz Amaral, Adriane Boyd, Aleksandar Dimitrov, Vanessa Metcalf, Niels Ott
Proceedings of the 5th Workshop on Innovative Use of NLP for Building Educational Applications, NAACL-HLT 2010, Los Angeles.
Second language acquisition research since the 90s has emphasized the importance of supporting awareness of language categories and forms, and input enhancement techniques have been proposed to make target language features more salient for the learner.
We present an NLP architecture and web-based implementation providing automatic visual input enhancement for web pages. Learners freely choose the web pages they want to read and the system displays an enhanced version of the pages. The current system supports visual input enhancement for several language patterns known to be problematic for English language learners, as well as fill-in-the-blank and clickable versions of such pages supporting some learner interaction.
Electronically available:
- Paper: paper.pdf (584.320 bytes)
- Paper in ACL anthology: http://aclweb.org/anthology/W10-1002.pdf
- Slides of Presentation: slides.pdf (320.3491 bytes)
Note: The electronic versions of the publications linked on this page are the last versions I had the copyright for. Where a publisher copyedited and/or typeset the papers, the electronic copies linked here are NOT identical to the officially published version, which should be used for any quotes, references to page numbers, etc.
Bibtex entry:
@InProceedings{Meurers.Ziai.ea-10,
author = {Detmar Meurers and Ramon Ziai and
Luiz Amaral and Adriane Boyd and
Aleksandar Dimitrov and Vanessa Metcalf and Niels Ott},
title = {Enhancing Authentic Web Pages for Language Learners},
booktitle = {Proceedings of the 5th Workshop on Innovative Use of NLP
for Building Educational Applications, NAACL-HLT 2010},
address = {Los Angeles},
pages = {10--18},
year = {2010},
url = {http://purl.org/dm/papers/meurers-ziai-et-al-10.html}
}