Abstract: A document marking projection system receives a target document comprising text content, determines a set of similar documents that are similar to the target document, and selects a first similar document from the set of similar documents. The document marking projection system identifies a first marking within the first similar document, determines a projected marking for the target document in view of one or more differences between text content in the first similar document and the text content in the target document, and stores the projected marking for the target document.

Abstract: A document marking projection system receives a target document comprising text content, determines a set of similar documents using an index of stored documents, where the set of similar documents are similar to the target document, and selects a first similar document from the set of similar documents that is most similar to the target document. The document marking projection system determines one or more portions of text content in the first similar document that are different from respective one or more portions of text content in the target document, determines a first location of a first marking within the first similar document, determines a projected marking for the target document in view of one or more differences between the first portion of the text content in the first similar document and a respective portion of the text content in the target document, and stores the projected marking for the target document.

Abstract: A document marking projection system receives a target document comprising text content, determines a set of similar documents using an index of stored documents, where the set of similar documents are similar to the target document, and selects a first similar document from the set of similar documents that is most similar to the target document. The document marking projection system determines one or more portions of text content in the first similar document that are different from respective one or more portions of text content in the target document, determines a first location of a first marking within the first similar document, determines a projected marking for the target document in view of one or more differences between the first portion of the text content in the first similar document and a respective portion of the text content in the target document, and stores the projected marking for the target document.

Abstract: Systems and methods for identifying word collocations in natural language texts. An example method comprises: performing, by a computing device, semantico-syntactic analysis of a natural language text to produce a plurality of semantic structures; generating, in view of relationships defined by the semantic structures, a raw list of word combinations; producing a list of collocations by applying a heuristic filter to the raw list of word combinations; and using the list of collocations to perform a natural language processing operation.

Abstract: Systems and methods for identifying word collocations in natural language texts. An example method comprises: performing, by a computing device, semantico-syntactic analysis of a natural language text to produce a plurality of semantic structures; generating, in view of relationships defined by the semantic structures, a raw list of word combinations; producing a list of collocations by applying a heuristic filter to the raw list of word combinations; and using the list of collocations to perform a natural language processing operation.

Abstract: The present invention is a method and a system of organizing information searches in electronic text corpora and displaying the search results in the user interface. The system and the method enable searches not just for words or word combinations, but also for specific lexical meanings of words, where a lexical meaning is a realization of a word's semantic meaning in a particular language. The completeness of search results is bases on incorporation synonyms and paraphrases in the search. The method also includes searching for fragments matching the query in electronic text corpora, estimating the results and the displaying the results ranked to the user.