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:
May. 05, 2020

Filed:

Dec. 13, 2018
Applicant:

Genesys Telecommunications Laboratories, Inc., Daly City, CA (US);

Inventors:

Tamir Tapuhi, Ashdod, IL;

Amir Lev-Tov, Bat-Yam, IL;

Avraham Faizakof, Kefar Varburg, IL;

Yochai Konig, San Francisco, CA (US);

Assignee:

Other;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 15/06 (2013.01); G10L 15/26 (2006.01); G10L 15/183 (2013.01); G06N 20/00 (2019.01); G06N 3/00 (2006.01); G06F 40/232 (2020.01); G10L 15/08 (2006.01);
U.S. Cl.
CPC ...
G10L 15/063 (2013.01); G06F 40/232 (2020.01); G06N 3/006 (2013.01); G06N 20/00 (2019.01); G10L 15/26 (2013.01); G10L 15/183 (2013.01); G10L 2015/0635 (2013.01); G10L 2015/0636 (2013.01); G10L 2015/088 (2013.01);
Abstract

A method for generating a language model for an organization includes: receiving, by a processor, organization-specific training data; receiving, by the processor, generic training data; computing, by the processor, a plurality of similarities between the generic training data and the organization-specific training data; assigning, by the processor, a plurality of weights to the generic training data in accordance with the computed similarities; combining, by the processor, the generic training data with the organization-specific training data in accordance with the weights to generate customized training data; training, by the processor, a customized language model using the customized training data; and outputting, by the processor, the customized language model, the customized language model being configured to compute the likelihood of phrases in a medium.


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