InSTIL/ICALL 2004 Symposium on Computer Assisted Learning June 17-19, 2004 Venice, Italy

NLP Tools for CALL: the Simpler, the Better

Olivier Kraif, Georges Antoniadis, Sandra Echinard, Mathieu Loiseau, Thomas Lebarbé, Claude Ponton

LIDILEM, Université Stendhal, Grenoble, France

This paper addresses the problem of the implementation of Natural Language Processing (NLP) tools for Computer Assisted Language Learning (CALL). After analyzing why some complex NLP application appear to be inappropriate for CALL, we show, with precise examples, that the more promosing progresses are expected to come from NLP basic processes, as morphological tagging or lemmatization.

Full Paper

Bibliographic reference.  Kraif, Olivier / Antoniadis, Georges / Echinard, Sandra / Loiseau, Mathieu / Lebarbé, Thomas / Ponton, Claude (2004): "NLP tools for CALL: the simpler, the better", In ICALL-2004, paper 009.