Patent №
US 10,540,424
Granted
2020-01-21
Filed 2017
Owner
MICROSOFT TECHNOLOGY LICENSING, LLC
Lab
AI components
4
ml · nlp · vision · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
15621009
Symbol recognition techniques may be applied to documents comprising various forms of content. Documents including both text and mathematical expressions may be problematic, as applying a recognizer that does not match the content may produce anomalous results. Instead, a parser may evaluate the document to classify respective regions as one of a text region or a mathematics region, based on the characteristics of each type of content. The recognizer corresponding to the content of each region may be applied to produce a composite document comprising both recognized text expressions and recognized mathematical expressions. Additional functionality may be presented based on the recognized content; e.g., text-based tools such as spell-check and natural-language translation may be applied to the text regions that comprise text expressions, and mathematics-based tools such as mathematical equation editors, mathematical expression solvers, and automated assignment grading may be applied to the mathematics regions that comprise mathematical expressions.
AI classification
Ownership
MICROSOFT TECHNOLOGY LICENSING, LLC
assignment · 450470744
Assignors
NIKOLIC, NIKOLA, MOJASEVIC, JELENA, YI, SHENG, TU, XIAO, STOJILJKOVIC, IVAN
On an employer assignment, the assignors are typically the inventors.