Open AccessUsing Morphological, Syntactical, and Statistical Information for Automatic Term Acquisition
Author(s) -
Joana Lúcio Paulo,
Margarita Correia,
Nuno Mamede,
Caroline Hagège
Publication year - 2002
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-43829-7
DOI - 10.1007/3-540-45433-0_31
Subject(s) - computer science , extractor , term (time) , natural language processing , artificial intelligence , work (physics) , information retrieval , mechanical engineering , physics , quantum mechanics , process engineering , engineering
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.
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