Method for preserving contextual accuracy in an extendible...

Details Method for preserving contextual accuracy in an extendible... Method for preserving contextual accuracy in an extendible...

2006-09-05

2006-09-05

Dorvil, Richemond (Department: 2626)

Data processing: speech signal processing, linguistics, language

Linguistics

Natural language

C704S231000, C704S251000, C704S257000

Reexamination Certificate

active

07103533

ABSTRACT:
A method of generating language model statistics for a new word added to a language model incorporating at least one class file containing contextually related words. The method can include the following steps: First, language model statistics can be computed based on references to at least one incorporated class file. Second, a new word can be substituted for each reference to a selected class file. Additionally, the language model statistics can be re-computed based on the new word having been substituted for the reference. Third, the re-computed language model statistics can be displayed in a user interface and modifications can be accepted to the re-computed language model statistics through the user interface. Fourth, the language model statistics can be further re-computed based on the modifications. In consequence, the language model statistics are re-computed for the new word without introducing contextual inaccuracies in the language model.

REFERENCES:
patent: 5027406 (1991-06-01), Roberts et al.
patent: 5680511 (1997-10-01), Baker et al.
patent: 5835893 (1998-11-01), Ushioda
patent: 5970460 (1999-10-01), Bunce et al.
patent: 6188976 (2001-02-01), Ramaswamy et al.
patent: 6314399 (2001-11-01), Deligne et al.
patent: 6501833 (2002-12-01), Phillips et al.
patent: 6532444 (2003-03-01), Weber
patent: 6606597 (2003-08-01), Ringger et al.
patent: 6691088 (2004-02-01), Blasig
patent: 6697769 (2004-02-01), Goodman et al.
patent: 6801893 (2004-10-01), Backfried et al.
Brown et al. 1992, Class-Based n-gram Models of Natural Language, Association for Computational Linguistics, pp. 467-479.
Iyer et al. 1997, Using Out-of-Domain Data to Improve In-Domain Language Models, IEEE, pp. 221-223.
Ringger et al., 1998 (Rapid language Model Develop for New Task Domains), University of Rochester, pp. 1-6.

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