Method and computer system for part-of-speech tagging of...

Details Method and computer system for part-of-speech tagging of... Method and computer system for part-of-speech tagging of...

2005-06-21

2005-06-21

Dorvil, Richemond (Department: 2654)

Data processing: speech signal processing, linguistics, language

Linguistics

Natural language

C704S004000, C707S793000

Reexamination Certificate

active

06910004

ABSTRACT:
The invention relates to a method and a computer system for enhanced part-of-speech (POS-) tagging as well as grammatically disambiguating a phrase. A phrase is usually a short multiword expression that may be ambiguous. By introducing grammatical constraints the invention supports POS-tagging as well as grammatically disambiguating the phrase. According to an identifier for the phrase, the phrase is supplemented with artificial context information. The supplemented phrase is then POS-tagged or grammatically disambiguated. Important applications are POS-tagging, Automatic Term Encoding, Headword Detection and Information Retrieval.

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Berger et al., A Maximum Entropy Approach to Natural Language Processing, 1996, Computational Linguistics, 22 (1), pp. 39-68.
Ratnaparkhi, A Maximum Entropy Model for Part-Of-Speech Tagging, 1996, in Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 133-142.
Ratnaparkhi, Learning to Parse Natural Language with Maximum Entropy Models, Feb. 1999, in Machine Learning, 34, pp. 151-175.

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