Processing noisy data and determining word similarity

Details Processing noisy data and determining word similarity Processing noisy data and determining word similarity

2008-03-11

2008-03-11

Hudspeth, David (Department: 2626)

Data processing: speech signal processing, linguistics, language

Linguistics

Dictionary building, modification, or prioritization

C704S009000

Reexamination Certificate

active

10611368

ABSTRACT:
The present invention deals with noisy data not by eliminating low frequency dependency structures, but rather by weighting the dependency structures. The dependency structures are weighted to give less weight to dependency structures which are more likely incorrect and to give more weight to dependency structures which are more likely correct.

REFERENCES:
patent: 6076051 (2000-06-01), Messerly et al.
patent: 6098033 (2000-08-01), Richardson et al.
patent: 6871174 (2005-03-01), Dolan et al.
patent: 6901402 (2005-05-01), Corston-Oliver et al.
Gasperin et al (“Using Syntactic Contexts for Measuring Word Similarity”, Workshop on Knowledge Acquistion and Categorization, ESSLLI, 2001).
Evert et al (“Methods for the Qualitative Evaluation of Lexical Association Measures”, Proceedings of the 39th Annual Meeting of Association for Computational Linguistics, 2001).

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