Boundary extracting system from a sentence

Details Boundary extracting system from a sentence Boundary extracting system from a sentence

1993-12-28

1995-12-26

MacDonald, Allen R.

395 262, G10L 900

Patent

active

054795630

ABSTRACT:
The present invention extracts boundaries from a sentence with no need for linguistic knowledge or complicated grammatical rules. Upon extracting a clause/phrase boundary, words are classified according to part-of-speech numbers of words which form inputted sentence information. Then, an input pattern representing part-of-speech numbers of a target word is checked to determine whether a clause/phrase boundary exists before or after the target word; a plurality of words before and after the target words is then applied to a neural network. Among units in the output layer of the neural network, a unit having the output larger than a threshold is determined to refer to a clause/phrase boundary of the target word. Upon extracting a subject-predicate boundary, words are classified in word number, and an input pattern corresponding to a plurality of words are applied to the neural network. The neural network comprises output units for a subject and a predicate, and a boundary is extracted by an inputted pattern which changes the output of these units.

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Jain et al., "Incremental parsing by modular recurrent connectionist networks," Advances is Neural Information Processing Systems, vol. 2, ed. D. S. Touretzky, publ. Morgan Kaufmann, Nov. 27, 1989, pp. 364-371.
Parisi et al., "Connectionist modeling of syntactic constrainst on sentence processing," IEEE 1st conf. neural networks, pp. 507-512, vol. 2, 1987.
Gorin et al., "Adaptive acquisition of language", ICASSP 90 Proceedings, 1990.

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