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.
This paper has been partially supported by the Fundação Para a Ciência e Tecnologia under project number PLUS/1999/LIN/15150
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Paulo, J.L., Correia, M., Mamede, N.J., Hagège, C. (2002). Using Morphological, Syntactical, and Statistical Information for Automatic Term Acquisition. In: Ranchhod, E., Mamede, N.J. (eds) Advances in Natural Language Processing. PorTAL 2002. Lecture Notes in Computer Science(), vol 2389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45433-0_31
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DOI: https://doi.org/10.1007/3-540-45433-0_31
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