Natural language parser with dictionary-based part-of-speech pro

Details Natural language parser with dictionary-based part-of-speech pro Natural language parser with dictionary-based part-of-speech pro

1996-06-28

1999-03-02

Hudspeth, David R.

Data processing: speech signal processing, linguistics, language

Linguistics

Dictionary building, modification, or prioritization

707532, G06F 1720

Patent

active

058783865

ABSTRACT:
A natural language parser determines part-of-speech probabilities by using a dictionary or other lexicon as a source for the part-of-speech probabilities. A machine-readable dictionary is scanned, word-by-word. For each word, the number of senses listed for the word and associated with a part of speech are counted. A part-of-speech probability is then computed for each part of speech based upon the number of senses counted. The part-of-speech probability is indicative of how likely the word is to assume a particular part of speech in a text. The most probable parts of speech are then used by a parser during the first parse of an input string of text to improve the parser's accuracy and efficiency.

REFERENCES:
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Stephen D. Richardson, "Bootstrapping Statistical Processing into a Rule-based Natural Language Parser," In Proceedings of the ACL Workshop Combining symbolic and statistical approaches to language, pp. 96-103. Jul. 1994.
Kenneth W. Church "Current Practice in Part of Speech Tagging and Suggestions for the Future" in book edited by Mackie, McAuley, Simmons, For Henry Kucera: Studies in Slavic Philology and Computational Linguistics, Michigan Slavic Publications Ann Arbor 1992, pp. 13-48.

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