Statistical natural language understanding using hidden clumpings
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United States of America Patent
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Nov 16, 1999
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N/A
app pub date -
Jan 29, 1996
filing date -
Jan 29, 1996
priority date (Note) -
Expired
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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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