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:
Feb. 01, 2022

Filed:

Jun. 19, 2019
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Jeffrey William Pasternack, Belmont, CA (US);

Vita G. Markman, San Francisco, CA (US);

Romer E. Rosales-Delmoral, Burlingame, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/263 (2020.01); G06F 40/44 (2020.01); G06F 40/55 (2020.01); G06F 40/216 (2020.01); G06F 40/284 (2020.01); G06F 40/289 (2020.01); G06N 20/00 (2019.01); G06N 3/08 (2006.01); G06N 20/20 (2019.01); G06N 5/00 (2006.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
G06F 40/263 (2020.01); G06F 40/216 (2020.01); G06F 40/284 (2020.01); G06F 40/289 (2020.01); G06F 40/44 (2020.01); G06F 40/55 (2020.01); G06N 20/00 (2019.01); G06N 3/08 (2013.01); G06N 5/003 (2013.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01);
Abstract

Methods, systems, and computer programs are presented for estimating the language used in a user communication. One method includes an operation for utilizing counters to track use of languages by a user of an online service, the counters being updated based on interactions of the user in the online service. Further, the method includes operations for detecting a text entered by the user and obtaining, by a language classifier, an initial prediction having probabilities for the languages that the text is in the language. A language distribution prediction is calculated based on the initial prediction and the user counters, where the language distribution prediction comprises a probability, for each language, that the text is in the language. Further, the method includes operations for selecting a language used in the text based on the language distribution prediction and causing presentation on a display of a message in the selected language.


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