The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 14, 2016

Filed:

Jul. 26, 2011
Applicants:

Paul Vozila, Arlington, MA (US);

Maximilian Bisani, Limbourg, BE;

Yi Su, Montreal, CA;

Stephen M. Chu, Elmstord, NY (US);

Stanley F. Chen, Yorktown Heights, NY (US);

Ruhi Sarikaya, Shrub Oak, NY (US);

Bhuvana Ramabhadran, Mount Kisco, NY (US);

Inventors:

Paul Vozila, Arlington, MA (US);

Maximilian Bisani, Limbourg, BE;

Yi Su, Montreal, CA;

Stephen M. Chu, Elmstord, NY (US);

Stanley F. Chen, Yorktown Heights, NY (US);

Ruhi Sarikaya, Shrub Oak, NY (US);

Bhuvana Ramabhadran, Mount Kisco, NY (US);

Assignee:

Nuance Communications, Inc., Burlington, MA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/27 (2006.01); G06F 17/30 (2006.01); G06F 17/21 (2006.01); G06Q 10/10 (2012.01);
U.S. Cl.
CPC ...
G06F 17/218 (2013.01); G06F 17/2785 (2013.01); G06Q 10/107 (2013.01);
Abstract

A language processing application employs a classing function optimized for the underlying production application context for which it is expected to process speech. A combination of class based and word based features generates a classing function optimized for a particular production application, meaning that a language model employing the classing function uses word classes having a high likelihood of accurately predicting word sequences encountered by a language model invoked by the production application. The classing function optimizes word classes by aligning the objective of word classing with the underlying language processing task to be performed by the production application. The classing function is optimized to correspond to usage in the production application context using class-based and word-based features by computing a likelihood of a word in an n-gram and a frequency of a word within a class of the n-gram.


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