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US Patent 10417335 Automated quantitative assessment of text complexity

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Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10417335
Patent Inventor Names
Joseph A. Jaroch2
Date of Patent
September 17, 2019
Patent Application Number
15729098
Date Filed
October 10, 2017
Patent Citations Received
‌
US Patent 11930024 Detecting behavior anomalies of cloud users
1
‌
US Patent 11288111 Entropy-based classification of human and digital entities
‌
US Patent 11757906 Detecting behavior anomalies of cloud users for outlier actions
Patent Primary Examiner
‌
Shaun Roberts
Patent abstract

Various aspects of the subject technology relate to systems, methods, and machine-readable media for automated quantitative assessment of text complexity. A system may include processing at least one body of text in a text-based query using a natural language processing engine. The processed text may include sub-blocks of text in a predetermined sequence size such as an n-gram. The system may compare reference bases to the processed text, where each reference base is associated with a different natural language. The system determines which of the reference bases has a highest number of matching words within the body of text, and thereby identifies the reference base as the source language of the supplied text. The system then determines an average complexity score for n-gram using a quantitative assessment engine. The system then applies a readability score to the body of text based on the average complexity scores of the n-grams.

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