Method for preserving contextual accuracy in an extendible speech recognition language model
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United States of America Patent
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Sep 5, 2006
Grant Date -
Aug 22, 2002
app pub date -
Feb 21, 2001
filing date -
Feb 21, 2001
priority date (Note) -
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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.
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