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:
Jan. 03, 2023

Filed:

Jun. 15, 2020
Applicant:

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

Inventors:

Davide Turcato, Dublin, IE;

Alfredo R. Arnaiz, Bellevue, WA (US);

Domenic Joseph Cipollone, Montgomery, OH (US);

Michael Wilson Daniels, Redmond, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06N 20/00 (2019.01); G06F 40/211 (2020.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 40/211 (2020.01); G06N 20/00 (2019.01);
Abstract

The present disclosure relates to processing operations configured to provide a linguistic-based approach to evaluating repetition in content of an electronic document. The approach of the present disclosure is about detecting terms/words/phrases that are likely to be perceived as being repetitious by native speakers of a language rather than just identifying the occurrence of identical words or strings in a document as done by traditional language checks. Processing of the present disclosure detects and evaluates terms or phrases using positive linguistic evidence derived from evaluation of linguistic relationships between words in a string in syntactic ways. This results in more accurate and efficient determination as to whether a term is truly repetitious at the linguistic level as compared with traditional language checks. As compared with string-based evaluation, fewer flags are raised for identification of repetitive/over-used language, but more precise/accurate identification of repetition occurs using processing of the present disclosure.


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