Fuji Xerox Co., Ltd.

Shaoming Liu

Atsushi Itoh

Hiroshi Masuichi

Kiyoshi Tashiro

Masatoshi Tagawa

Naoko Sato

Michihiro Tamune

Kyosuke Ishikawa

Honglin Wu

A translation processing device includes a setting unit classifying languages into categories and setting a typical language for each category, a first converter converting between a sentence in a first language and a sentence in a first typical language, a second converter converting between a sentence in the first typical language and a sentence in a second typical language, and an acquiring unit acquiring information of an input sentence, the first language, and a second language. If the first language is not the first typical language, the first converter converts the input sentence into a sentence in the first typical language. If the first and second languages belong to different categories, the second converter converts the sentence into a sentence in the second typical language. If the second language is not the second typical language, the first converter further converts the sentence into a sentence in the second language.

Translation processing device, non-transitory computer readable medium, and translation processing method

A bilingual information retrieval apparatus includes an input text acquisition unit, a first memory, a first language construct information selection unit, a second memory, and a second language construct information selection unit. The input text acquisition unit acquires input text in a first language. The first memory stores plural pieces of first language construct information indicating a construct of text in the first language. The first language construct information selection unit selects a piece of first language construct information corresponding to the input text. The second memory stores plural pieces of second language construct information indicating a construct of text in a second language corresponding to the selected piece of first language construct information. The second language construct information selection unit selects a piece of second language construct information on the basis of evaluation information.

Bilingual information retrieval apparatus, translation apparatus, and computer readable medium using evaluation information for translation

A translation device includes: a memory that stores character strings forming an example sentence pattern under which example sentences are classified based on character strings that form sentences, and character strings forming a translated example sentence pattern translated from the example sentence pattern, the character strings forming the example sentence pattern being associated with the character strings forming the translated example sentence pattern based on the meanings of the character strings; a converting unit that converts an input sentence into a sentence including common portions corresponding to common character strings shared by the example sentences, and uncommon portions; and a translating unit that translates the input sentence, based on a mapping that illustrates associations with the character strings forming the translated example sentence pattern stored in the memory and associated with the uncommon character strings corresponding to the uncommon character strings of the converted sentence.

Example-based translation using common and uncommon portions of an input sentence

A translation apparatus is provided that includes a bilingual example sentence dictionary that stores plural example sentences in a first language and plural example sentences in a second language being translation of the plural example sentences, an input unit that inputs an input sentence in the first language, a first search unit that searches whether the input sentence matches any of the plural example sentences in the first language, a second search unit that searches for at least one example sentence candidate that is similar to the input sentence from the plural example sentences in the first language, when a matching example sentence is not found in the first search unit, and an output unit that outputs an example sentence in the second language that is translation of an example sentence searched in the first search unit or the example sentence candidate searched in the second search unit.

Example based translation apparatus, translation method, and translation program

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 word alignment apparatus includes a word extracting portion that extracts each word from an example sentence and from a translation sentence thereof, an alignment calculator that calculates at least one of a similarity degree and an association degree between a word in a first language and that in a second language to perform an alignment between words respectively included in the example sentence in the first language and those included in the translation sentence thereof in the second language on the basis of a calculated value, and an optimization portion that optimizes the alignment by performing a bipartite graph matching.

Word alignment apparatus, method, and program product, and example sentence bilingual dictionary

A word translation device stores a first-language word search TRIE structure (), a second-language word search TRIE structure (), a first-language word information record (), a second-language word information record () in a bilingual dictionary. The first-language word search TRIE structure () is provided for searching for words of the first language. The second-language word search TRIE structure () is provided for searching for words of the second language. The first-language word information record () includes first translation information for identifying a translation of each of the words stored in the first-language word search TRIE structure (). The second-language word information record () includes second translation information for identifying a translation of each of the words stored in the second-language word search TRIE structure (). By referring to the first and second word information records () and (), word translation between the first and second languages can be performed with high precision at high speeds.

Word translation device, translation method, and computer readable medium

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 translation memory adapted to sentence-based translation includes a first retrieval dictionary of a first language having a first dictionary TRIE structure and a first index TRIE structure, and a second retrieval dictionary of a second language having a second dictionary TRIE structure and a second index TRIE structure. The first and second dictionary TRIE structures respectively store sub character strings on respective paths from roots to multiple nodes thereof. The first and second index TRIE structure respectively store index information to specify the sub character strings stored in the first and second dictionary TRIE structures. The index information stored in the first retrieval dictionary includes identification information that identifies the index information to specify the sub character strings in the second retrieval dictionary that are translations of those in the first retrieval dictionary.

Multilingual translation memory, translation method, and translation program

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

A text sentence comparison method includes converting a first text sentence and a second text sentence into a first R tree (or a first RO tree) and a second R tree (or a second RO tree), respectively, calculating a distance between the first R tree and the second R tree (or a distance between the first RO tree and the second RO tree) on the basis of a distance between two R trees (or a distance between two RO trees), which is defined at least in accordance with a condition of a mapping between vertexes of the two R trees (or the two RO trees), and calculating a distance between the first text sentence and the second text sentence on the basis of the calculated distance between the first R tree and the second R tree (or the calculated distance between the first RO tree and the second RO tree).

Text sentence comparing apparatus

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 text sentence comparison method includes converting a first text sentence and a second text sentence into a first R tree (or a first RO tree) and a second R tree (or a second RO tree), respectively, calculating a distance between the first R tree and the second R tree (or a distance between the first RO tree and the second RO tree) on the basis of a distance between two R trees (or a distance between two RO trees), which is defined at least in accordance with a condition of a mapping between vertexes and edges of the two R trees (or the two RO trees), and calculating a distance between the first text sentence and the second text sentence on the basis of the calculated distance between the first R tree and the second R tree (or the calculated distance between the first RO tree and the second RO tree).

A retrieval system enables high-speed and high-precision pattern retrieval. A retrieval dictionary generation unit classifies learned patterns into plural clusters, and generates a retrieval dictionary using the clusters. A nearest cluster detector detects, a cluster nearest to an input retrieval patter from among clusters in a multidimensional space. The specific space is generated between a couple of spheres having radiuses smaller and larger, respectively, than a distance from a central cluster that locates near the center of the multidimensional space to the retrieval pattern. A learned pattern detector compares all learned patterns that belong to the nearest cluster with the retrieval pattern and detects a learned pattern at predetermined distance from the retrieval pattern. A retrieval range decision unit decides a retrieval range using the learned pattern detected by the learned pattern detector and retrieval pattern.

Retrieval system, retrieval method and computer readable recording medium that records retrieval program

The object of the present invention is to enable high-speed and high-precision pattern retrieval. Therefore, a retrieval dictionary generation unit classifies learned patterns into plural clusters, and generates a retrieval dictionary using the clusters. A nearest cluster detector detects the nearest cluster to an input retrieval pattern among clusters stored in the retrieval dictionary. A learned pattern detector compares each learned pattern which belongs to the nearest cluster with the retrieval pattern and detects a learned pattern at predetermined distance from the retrieval pattern. A retrieval range decision unit decides a retrieval range using the learned pattern detected by the learned pattern detector and retrieval information. A retrieval unit executes the retrieval of the retrieval pattern from among all the learned patterns in the retrieval range.

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Kanagawa, Japan

Shaoming Liu