Using Morphological, Syntactical, and Statistical Information for Automatic Term Acquisition

Authors:
Joana Lúcio Paulo;Margarita Correia;Nuno J. Mamede;Caroline Hagège
Affiliations:
-;-;-;-
Venue:
PorTAL '02 Proceedings of the Third International Conference on Advances in Natural Language Processing
Year:
2002

Citing 3
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Abstract

Terminologies are useful in all areas that use specialized languages. The development of terminologies is a hard work, when manually done. It can be assisted with tools to ease and improve the achievement of such a work. In this article, we present ATA, an automatic terms extractor using both linguistic and statistical information.