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AssigneeMachine Learning Works, LLC
InventorsPavel Savchenkov, Evgeny Savinov, Mikhail Trofimov, Sergey Kiyan, Aleksei Esin
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Provided are methods and system for recognizing characters such as mathematical expressions or chemical formulas. An example method comprises the steps of receiving and processing an image by a pre-processing module to obtain one or more candidate regions, extracting features of each of the candidate regions by a feature extracting module such as a convolutional neural network (CNN), encoding the features into a distributive representation for each of the candidate regions separately using an encoding module such as a first long short-term memory (LSTM) based neural network, decoding the distributive representation into output representations using a decoding module such as a second LSTM-based recurrent neural network, and combining the output representations into an output expression, which is outputted in a computer-readable format or a markup language.
A system for recognizing mathematical expressions, the system comprising:
A method for recognizing mathematical expressions, the method comprising:
A non-transitory processor-readable medium having instructions stored thereon, which when executed by one or more processors, cause the one or more processors to implement a method for recognizing mathematical expressions, the method comprising:
Dependencies are inferred from the claim text.