Abstract: According to one embodiment, a search support apparatus includes a first analyzer, a first acquirer, a measurement unit, a first extractor, a second extractor and a storage. The first analyzer analyzes a clipped document. The first acquirer acquires an updated document by referring to the location information if an original document has been updated. The measurement unit measures a first update frequency of the original document. The first extractor extracts one or more first keywords from the clipped document. The second extractor extracts one or more second keywords from the updated document using a first keyword extraction scheme set in accordance with the first update frequency. The storage stores the one or more first keywords, the one or more second keywords and the update document each associated with the clipped document.

Abstract: According to one embodiment, an apparatus for supporting reading of a document includes a model storage unit, a document acquisition unit, a feature information extraction, and an utterance style estimation unit. The model storage unit is configured to store a model which has trained a correspondence relationship between first feature information and an utterance style. The first feature information is extracted from a plurality of sentences in a training document. The document acquisition unit is configured to acquire a document to be read. The feature information extraction unit is configured to extract second feature information from each sentence in the document to be read. The utterance style estimation unit is configured to compare the second feature information of a plurality of sentences in the document to be read with the model, and to estimate an utterance style of the each sentence of the document to be read.

Abstract: According to one embodiment, a character recognition apparatus includes a first generation unit, an estimation unit, a second generation unit and a search unit. The first generation unit generates a user dictionary that a preferred character is registered. The estimation unit estimates a first separation between characters based on one or more of a layout of a target text and marking information. The second generation unit generates a lattice structure, by estimating character segments being expressed by strokes based on the first separation. The search unit searches, if the lattice structure includes the path corresponding to the preferred character, the lattice structure for a path to obtain a character recognition result.

Abstract: According to one embodiment, a document classification assisting apparatus includes an input unit, an extracting unit, an amount calculator, a setting unit, a calculator, and a storage. The input unit inputs documents including stroke information. The extracting unit extracts, from the stroke information, at least one of figure, annotation and text information. The amount calculator calculates, from the information extracted, feature amounts that enable comparison in similarity between the documents. The setting unit sets clusters including representative vectors that indicate features of the clusters and each include the feature amounts, and detects to which one of the clusters each of the documents belongs. The calculator calculates, as a classification rule, at least one of the feature amounts included in the representative vectors and characterizing the representative vectors. The storage stores the classification rule.

Abstract: According to one embodiment, a reading aloud support apparatus includes a reception unit, a first extraction unit, a second extraction unit, an acquisition unit, a generation unit, a presentation unit. The reception unit is configured to receive an instruction. The first extraction unit is configured to extract, as a partial document, a part of a document which corresponds to a range of words. The second extraction unit is configured to perform morphological analysis and to extract words as candidate words. The acquisition unit is configured to acquire attribute information items relates to the candidate words. The generation unit is configured to perform weighting relating to a value corresponding a distance and to determine each of candidate words to be preferentially presented to generate a presentation order. The presentation unit is configured to present the candidate words and the attribute information items in accordance with the presentation order.

Abstract: According to one embodiment, a related document search apparatus includes a first acquisition unit, a storage, a search unit, a second acquisition unit, a determination unit and a display. The first acquisition unit acquires a document and first annotation added to the document. The search unit searches for document(s) related to content of a search document from the storage, to acquire searched document(s) as related document(s). The determination unit determines whether the second annotation includes a character. The display displays the search document and the second annotation if the second annotation information includes a character, and to display the search document, the second annotation, and an area of the related document to which the second annotation is added if the second annotation includes no character.

Abstract: According to one embodiment, a keyword extraction apparatus includes a separation unit, a generation unit, a calculation unit, a first update unit, a second update unit. The separation unit separates a first annotation from each of a plurality of documents. The generation unit generates one or more document clusters by calculating a score of keywords and performing clustering on documents having a correlation value higher than a threshold. The calculation unit calculates a characteristic quantity in accordance with a type of a second annotation. The first update unit updates the score of the keyword to which the second annotation is added, based on the characteristic quantity. The second update unit updates the one or more document cluster in accordance with the updated score to obtain an updated document cluster.

Abstract: According to one embodiment, a content creation support apparatus includes a speech synthesis unit, a speech recognition unit, an extraction unit, a detection unit, a presentation unit and a selection unit. The speech synthesis unit performs a speech synthesis on a first text. The speech recognition unit performs a speech recognition on the synthesized speech to obtain a second text. The extraction unit extracts feature values by performing a morphological analysis on each of the first and second texts. The detection unit compares a first feature value of a first difference string and a second feature value of a second difference string. The presentation unit presents correction candidate(s) according to the second feature value. The selection unit selects one of the correction candidates in accordance with an instruction from a user.

Abstract: According to an embodiment, a product comparison apparatus for comparing a plurality of products includes an operation acceptance unit, a comparison table generator, and a display unit. The operation acceptance unit is configured to accept a user operation for selecting a plurality of annotated documents which include specification information items related to the products and annotations appended by a user. The comparison table generator is configured to generate a comparison table comprising the specification information items related to the products, in accordance with the user operation. The display unit is configured to display the comparison table.

Abstract: According to one embodiment, a document creation support apparatus includes a determination unit, a search unit and a presentation unit. The determination unit determines a document type that is a type of a document containing a target character string, based on feature values including a first character recognition result and a first position information item. The search unit searches, if a search condition for searching for relevant character strings is satisfied, one or more databases for the relevant character strings to obtain the relevant character strings in order of decreasing score based on priorities, each of the priorities being set to each of the one or more databases according to the document type. The presentation unit presents the relevant character strings in order of decreasing the score.

Abstract: According to an embodiment, a picture drawing support apparatus includes following components. The feature extractor extracts a feature amount from a picture drawn by a user. The speech recognition unit performs speech recognition on speech input by the user. The keyword extractor extracts at least one keyword from a result of the speech recognition. The image search unit retrieves one or more images corresponding to the at least one keyword from a plurality of images prepared in advance. The image selector selects an image which matches the picture, from the one or more images based on the feature amount. The image deformation unit deforms the image based on the feature amount to generate an output image. The presentation unit presents the output image.

Abstract: According to an embodiment, an annotation search apparatus includes a feature extractor and an annotation search unit. The feature extractor is configured to extract an annotation feature from an input document and an annotation appended by a user to the input document. The annotation search unit is configured to search annotation information items to retrieve at least one of the annotation information items according to an intended purpose of the user, one of the annotation information items corresponding to the input document and including the annotation feature.

Abstract: According to one embodiment, a keyword presentation apparatus includes an extraction unit, a selection unit and a clustering unit. The extraction unit is configured to extract, as technical terms, morpheme strings, which are not defined in a general concept dictionary, from a document set. The selection unit is configured to evaluate relevancies between each of basic term candidates and the technical terms, and to preferentially select basic term candidates having high relevancies as basic terms. The clustering unit is configured to calculate weighted sums of statistical degrees of correlation between the basic terms based on the document set, to calculate conceptual degrees of correlation between the basic terms based on the general concept dictionary, and to cluster the basic terms based on the weighted sums.

Abstract: According to one embodiment, a document reading-out support apparatus is provided with first to third acquisition units, an extraction unit, a decision unit and a user verification unit. The first acquisition unit acquires a document having texts. The second acquisition unit acquires metadata having definitions each of which includes an applicable condition and a reading-out style. The extraction unit extracts features of the document. The third acquisition unit acquires execution environment information. The decision unit decides candidates of parameters of reading-out based on the features and the information. The user verification unit presents the candidates and accepts a verification instruction.

Abstract: A document processing apparatus is provided that facilitates location of elements within a document to be modified. To this end, the document processing apparatus analyzes document data for modification relations in character strings or between character strings within the document data, and embeds attribute tags within the text document data representing the modification relations. An XML document having the embedded attribute tags is stored in a data storage area, and can subsequently be searched using the embedded tags as search keys.

Abstract: According to one embodiment, an apparatus for supporting reading of a document includes a model storage unit, a document acquisition unit, a feature information extraction, and an utterance style estimation unit. The model storage unit is configured to store a model which has trained a correspondence relationship between first feature information and an utterance style. The first feature information is extracted from a plurality of sentences in a training document. The document acquisition unit is configured to acquire a document to be read. The feature information extraction unit is configured to extract second feature information from each sentence in the document to be read. The utterance style estimation unit is configured to compare the second feature information of a plurality of sentences in the document to be read with the model, and to estimate an utterance style of the each sentence of the document to be read.

Abstract: According to one embodiment, a reading aloud support apparatus includes a reception unit, a first extraction unit, a second extraction unit, an acquisition unit, a generation unit, a presentation unit. The reception unit is configured to receive an instruction. The first extraction unit is configured to extract, as a partial document, a part of a document which corresponds to a range of words. The second extraction unit is configured to perform morphological analysis and to extract words as candidate words. The acquisition unit is configured to acquire attribute information items relates to the candidate words. The generation unit is configured to perform weighting relating to a value corresponding a distance and to determine each of candidate words to be preferentially presented to generate a presentation order. The presentation unit is configured to present the candidate words and the attribute information items in accordance with the presentation order.

Abstract: According to one embodiment, a keyword presentation apparatus includes an extraction unit, a selection unit and a clustering unit. The extraction unit is configured to extract, as technical terms, morpheme strings, which are not defined in a general concept dictionary, from a document set. The selection unit is configured to evaluate relevancies between each of basic term candidates and the technical terms, and to preferentially select basic term candidates having high relevancies as basic terms. The clustering unit is configured to calculate weighted sums of statistical degrees of correlation between the basic terms based on the document set, to calculate conceptual degrees of correlation between the basic terms based on the general concept dictionary, and to cluster the basic terms based on the weighted sums.

Abstract: A search support apparatus estimates, based on a document and a specific phrase (keyword) in the document, a theme of the document, a site type of a website that provides the document, and a content type of the document, and selects a search condition corresponding to the theme, the site type, and the content type, to be presented to the user.

Abstract: A document processing apparatus includes an extracting unit that extracts text document information from a document data; an analyzing unit that analyzes a modification relation of a character string included in the text document information; an attribute unit that assigns an attribute indicating details of the modification relation to the character string, and embeds the attribute in the text document information; a document specifying unit that specifies a document-specifying character string that specifies other text document information, using the text document information in which the attribute is embedded by the attribute unit; and a document-identification unit that assigns document identification information to the document-specifying character string, and embeds the document identification information in the text document information.