Linguistic disambiguation system and method using...

Details Linguistic disambiguation system and method using... Linguistic disambiguation system and method using...

2007-08-14

2007-08-14

Hirl, Joseph P (Department: 2129)

Data processing: artificial intelligence

Knowledge processing system

C706S014000, C706S012000

Reexamination Certificate

active

11151390

ABSTRACT:
A linguistic disambiguation system and method creates a knowledge base by training on patterns in strings that contain ambiguity sites. The string patterns are described by a set of reduced regular expressions (RREs) or very reduced regular expressions (VRREs). The knowledge base utilizes the RREs or VRREs to resolve ambiguity based upon the strings in which the ambiguity occurs. The system is trained on a training set, such as a properly labeled corpus. Once trained, the system may then apply the knowledge base to raw input strings that contain ambiguity sites. The system uses the RRE- and VRRE-based knowledge base to disambiguate the sites.

REFERENCES:
patent: 6282507 (2001-08-01), Horiguchi et al.
Eric Brill, Machine Learning and Automatic Linguistic Analysis: The Next Step, 1998, IEEE, 0-7803-4428-6/98, 1033-1036.
Eric Brill, Scaling to a Very Very Large Corpa for Natural Language Disambiguation, 2001, Microsoft.
Chew Lim Tan et al, Text Retrieval from Document Images Based on N-Gram Algorithm, University of Sigapore, PRICAI 2000 Workshop on Text and Web Mining, 1-12.
Jack N. Shoemaker, How Regular Expressions Really Work, 2003, ThotWave Technologies, 1-4.
“Machine Learning and Automatic Linguistic Analysis:The Next Step”, Brill, E., IEEE, 0-7803-4428-6/98, pp. 1033-1036.
“Scaling to a Very Very Large Corpa for Natural Language Disambiguation”, Blanko et al., 2001, Microsoft.
“Text Retrieval from Document Images based on N-Gram Algorithm”, Tan et al., University of Singapore, PRICAI 2000 Workshop on Text and Web Mining, 1-12.
“How Regular Expressions Really Work”, Shoemaker, J., ThotWave Technologies, 2003, 1-4.

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