Fuji Xerox Co., Ltd.

Hiroshi Masuichi

Hiroki Yoshimura

Daigo Sugihara

Atsushi Itoh

Kiyoshi Tashiro

Masatoshi Tagawa

Naoko Sato

Tomoko Ohkuma

Michihiro Tamune

Shaoming Liu

Masakazu Tateno

Kyosuke Ishikawa

Hiroshi Umemoto

Masahiro Kato

Shunichi Kimura

Kei Tanaka

Takashi Nagao

Masanori Satake

Hideaki Ashikaga

Hiroyuki Hattori

Katsuhiko Itonori

Masayoshi Sakakibara

Motoyuki Takaai

Teruka Saito

Toshiya Koyama

Keigo Hattori

Masanori Onda

Kotaro Nakamura

Xinyu Peng

A document classification device includes a characteristic extraction unit, a clustering unit, and a category update unit. The characteristic extraction unit extracts characteristic information from each of plural document data which are classified in advance into specific categories. The clustering unit classifies the document data with similar appearance frequency of the characteristic information into a same cluster. The category update unit assigns the document data which is classified into the same cluster with a category of different document data which is classified into the same cluster as a category of the document data.

Document classification device, document classification method, and computer readable medium

A translation device has a dictionary that stores a set of words and their corresponding meanings in plural languages; an input unit that inputs a document; a recognizing unit that recognizes text in the inputted document; an analyzing unit that devides the text recognized by the recognizing unit into words; a translating unit that translates each of the words obtained by the analyzing unit into a translated term by using the dictionary; and an output unit that outputs an output image containing the translated term for a key word.

Translation device, translation method, and storage medium

A translation device comprises a character recognition unit that recognizes text data in a text region of an input image; a translator that translates the text data in the text region; and a layout configuration processor that generates data containing the translated text data in the text region and graphics in the input image, wherein a layout of the input image is maintained in a layout of the image of the data generated by the layout configuration processor.

Translation device, image processing device, translation method, and recording medium

A question answering system includes a question dividing unit, a question answering unit, and an answer determination unit. The question dividing unit applies a predetermined question dividing rule to an input question, to divide the input question into sub-questions. The question answering unit acquires answer candidates corresponding to the sub-questions generated by the question dividing unit, together with certainty values serving as reliability indexes. The answer determination unit selects an answer to the input question from among the answer candidates acquired by the question answering unit.

Question answering system, data search method, and computer program

A question answering system includes a question input unit, a search unit, an answer candidate extraction unit, an answer candidate inspection unit and an answer output unit. The search unit executes search processing based on an input question. The answer candidate extraction unit extracts an initial answer candidate based on a result of the search processing. The answer candidate inspection unit inspects the initial answer candidate. The answer candidate inspection unit executes search processing with using a query including the initial answer candidate. The answer candidate inspection unit determines whether each word of a sentence obtained as a result of the search processing has a similar lexical meaning to that of each word of the input question. The answer candidate inspection unit selects an initial answer candidate contained in a query determined to have the similar lexical meaning, as a secondary answer candidate.

A image processing device has a reading unit, a graphics area extraction unit, a writing area extraction unit, a character string extraction unit and an association unit. The reading unit reads a document. The graphics area extraction unit extracts a graphics area from the document read by the reading unit. The writing area extraction unit extracts a writing area from the document read by the reading unit. The character string extraction unit extracts a character string presented in the graphics area. The association unit associates information of the writing area with the graphics area based on the character string extracted by the character string extraction unit.

Image processing device, image processing method, and storage medium storing program therefor

A conceptual network generating system that generates a conceptual network showing conceptual relations between words, the conceptual network generating system including: a first searching unit that searches a knowledge source storing search sentences; a first generating unit that analyzes the retrieved first search result sentence; a holding unit that stores the generated first structure information in a memory unit; a second searching unit that searches the knowledge source; a second generating unit that analyzes the retrieved second search result sentence; a calculating unit that calculates similarity between the generated second structure information and the stored first structure information; and a setting unit that generates conceptual network information.

Conceptual network generating system, conceptual network generating method, and program product therefor

The present invention provides a document processing device including: a general feature vector memory that stores feature vectors of a shape for each of plural characters; an input unit that optically reads in a document; a extracting unit that extracts feature vectors from the shapes of characters in a document read in by the input unit; a general shape recognition unit that estimates a character for which the feature vectors of its shape extracted by the extracting unit, based on the feature vectors extracted by the extracting unit and the content stored in the general feature vector memory; and a specific feature vector memory that stores the feature vectors extracted by the extracting unit in association with an estimation result of the general shape recognition unit.

Document processing device and document processing method

According to an aspect of the present invention, a language processing device has a text input section and an anaphora analysis section. The text input section acquires text data. The anaphora analysis section analyzes whether a correct anaphora relation is included in the text data acquired by the text input section. The correct anaphora relation has an anaphor and an antecedent corresponding to the anaphor.

Language processing device, language processing method and language processing program

A translation device for translating a document has an image analysis unit and a translation unit. The image analysis unit determines a word and an abbreviation of the word. The translation unit translates the word and generates a new abbreviation based on the translated word.

Language translation device, method and storage medium for translating abbreviations

A question answering system includes a question input unit input to a question, a search unit, an anaphoric analysis unit, an information extraction unit and an answer candidate extraction unit. The search unit executes search processing based on the input question. The anaphoric analysis unit executes anaphoric analysis processing on a search result. The information extraction unit extracts sentences, which include expressions having a reference relation therebetween, as reference relation sentences, the reference relation determined by finding relation in an expressions of at least one of a noun phrase, a pronoun, and a zero pronoun between sentences in the search result on a basis of a result of the anaphoric analysis; selects a first candidate sentence from a passage obtained as the search result; and selects a second candidate sentence, which is the reference relation sentence of the first candidate sentence. The answer candidate extraction unit extracts an answer candidate.

A question answering system includes a question-sentence analysis unit, a search unit, an answer-candidate extraction unit, a check-expression generation unit, a check-expression search unit and an answer-candidate correction unit. The question-sentence analysis unit extracts a keyword applied to a search process from an input question sentence. The search unit executes the search process with using the extracted keyword. The answer-candidate extraction unit extracts answer candidates for the input question sentence based on a search result. The check-expression generation unit analyzes the input question sentence to generate a check expression concatenating an analysis result and the extracted answer candidates. The check-expression search unit executes a search process based on the generated check expression. The answer-candidate correction unit selects an output answer to the input question from among answer the candidates based on a search result.

A question answering system includes a similar-question generation unit, a first search unit, a second search unit, and an answer selection unit. The similar-question generation unit selects a feature word from an input question to generate a transformational question in which the feature word is replaced with another word. The first search unit executes a first search process based on the transformational question. The second search unit selects a word included in a first search result acquired as an extension word and executes a second search process with using the selected extension word. The answer selection unit analyzes a correspondence relation among extension words included in a second search result, determines the feature word and a constructive part of an answer equivalent word in the second search result based on an analysis result, and selects a word determined to be an answer.

The present invention provides a document processing device including: a specifying unit that specifies character strings which have a common property across documents, from among character strings included in plural documents which are represented by plural corresponding document data; and a rewriting unit that rewrites, among the character strings specified by the specifying unit, character strings expressed in formats different from a defined format to character strings expressed in the defined format.

Document processing device, document processing method, and storage medium recording program therefor

A question answering system includes a question answering unit, an analysis unit, a tree structure generation unit, a feature extraction unit, an evaluation unit and a re-ranking unit. The question answering unit executes search processing based on an input question and acquires answer candidates to the question. The analysis unit executes syntactic analysis processing or syntactic and semantic analysis processing on a passage obtained as a result of the search processing. The tree structure generation unit generates a tree structure based on an analysis result. The feature extraction unit extracts a relation between a search word applied in the search processing and each acquired answer candidate as a feature corresponding to each answer candidate from the tree structure. The evaluation unit determines an evaluation value of each answer candidate based on the feature extracted. The re-ranking unit re-ranks the answer candidates based on the evaluation values.

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Kanagawa, Japan

Hiroshi Masuichi