Building and updating of co-occurrence dictionary and analyzing

Details Building and updating of co-occurrence dictionary and analyzing Building and updating of co-occurrence dictionary and analyzing

1993-01-15

1995-04-11

Hayes, Gail O.

Boots, shoes, and leggings

36441911, G06F 1538, G06F 1540

Patent

active

054064805

ABSTRACT:
A co-occurrence dictionary is built through a process for calculating three kinds of co-occurrence information and a real number vector corresponding to each category. The co-occurrence dictionary is updated through a process for selecting the opposite phrase of the co-occurrence for the additional co-occurrence information and a process for calculating a real number vector corresponding to an additional word on the basis of the additional co-occurrence information. A co-occurrence analysis is effected through a process for calculating in real number the degree of the co-occurrence on the basis of the real number vectors corresponding to two categories to be checked in the co-occurrence relation, and a semantic analysis is effected through a process for indicating, by a numerical value, the propriety of the interpretation on the basis of the degree of each co-occurrence.

REFERENCES:
patent: 4916614 (1990-04-01), Kaji et al.
patent: 5227971 (1993-07-01), Nakajima et al.
"Automatic Learning for Semantic Collocation" by S. Sekine et al.
"A Statistical Approach to Machine Translation" by P. F. Brown et al.; Computational Linguistics vol. 16, No. 2, Jun. 1990; pp. 79-85.
"An Algorithm of Word Clustering from Co-occurrence Data Using DM Decomposition and Statistical Estimation" by T. Matsukawa et al.; (Translation: abstract only) Shizen Gengo Shori (Natural Language Processing) 72-8; May 19, 1989; pp. 1-8.

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