Statistical natural language understanding using hidden clumping

Details Statistical natural language understanding using hidden clumping Statistical natural language understanding using hidden clumping

1996-01-29

1999-11-16

Isen, Forester W.

Data processing: speech signal processing, linguistics, language

Linguistics

Natural language

704 2, G06F 1728

Patent

active

059874040

ABSTRACT:
The invention proposes using statistical methods to do natural language understanding. The key notion is that there are "strings" of words in the natural language, that correspond to a single semantic concept. One can then define an alignment between an entire semantic meaning (consisting of a set of semantic concepts), and the English. This is modeled using P(E,A.vertline.S). One can model p(S) separately. This allows each parameter to be modeled using many different statistical models.

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