11. A computer system for assessing the quality of computer-generated text, comprising: a processor for executing computer program instructions; a computer-readable storage medium storing executable computer program instructions, the computer program instructions comprising: a language-conditional character probability module executable to: receive a plurality of characters generated from an image of a document; and determine, 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; and a local language-conditional likelihood module executable to: identify, 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; combine 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 store the local language-conditional likelihood for the target character.
11. A computer system for assessing the quality of computer-generated text, comprising: a processor for executing computer program instructions; a computer-readable storage medium storing executable computer program instructions, the computer program instructions comprising: a language-conditional character probability module executable to: receive a plurality of characters generated from an image of a document; and determine, 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; and a local language-conditional likelihood module executable to: identify, 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; combine 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 store the local language-conditional likelihood for the target character. 19. The system of claim 11 , wherein the language-conditional character probability module is further executable to receive information specifying locations of the plurality of characters within the image of the document, the information comprising two-dimensional coordinates, the defined distance between the neighbor characters and the target character is determined based on the two-dimensional coordinates, and the local language-conditional likelihood is associated with a location of the target character in the image of the document specified by the two-dimensional coordinates.