Patent Document ID: 8442813
Application ID: 12366329

Base Claim:
1. A computer-implemented method of assessing the quality of computer-generated text, the method comprising: receiving a plurality of characters generated from an image of a document; determining, for the plurality of characters generated from the image of the document, language-conditional character probabilities based on a set of language models and an ordering of the characters, a language-conditional character probability for a target character in the plurality of characters describing a degree to which the target character and an ordered set of characters preceding the target character concord with a given language model in the set of language models; identifying, for the target character, neighbor characters proximate to a location of the target character in the image of the document, wherein the neighbor characters have associated language-conditional character probabilities and are within a defined distance from the location of the target character in the image of the document; combining the language-conditional character probabilities associated with the neighbor characters and the language-conditional character probabilities associated with the target character to generate a local language-conditional likelihood for the target character; and storing the local language-conditional likelihood for the target character.

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Claim 3:
3. The method of claim 1 , wherein identifying the neighbor characters comprises: identifying an area within the image of the document associated with the location of the target character, wherein the area specifies the defined distance between the neighbor characters and the target character.