Abstract: A communication system is configured to broadcast utterance voice data received from one of mobile communication terminals to other mobile communication terminals, to control text delivery such that a result of utterance voice recognition from voice recognition processing on the received utterance voice data is displayed on the mobile communication terminals in synchronization, and to use the result of utterance voice recognition to perform communication evaluation.

Abstract: A communication apparatus includes a business data storage unit which stores business data representative of a conducting history; an attribute imparting unit which generates attribute data representative of a conducting condition of the business in the first company; an attribute data storage unit which stores the attribute data corresponding to the first company; an attribute data disclosing unit which discloses the attribute data to a second company; an improvement proposal input unit which inputs therein information relating to an improvement proposal of the business for the first company; an improvement proposal disclosing unit which discloses the information relating to the improvement proposal to the first company; an improvement proposal acceptance receiver which receives a response of acceptance of the improvement proposal from the first company; and a proposal target disclosing unit which discloses information relating to the first company to the second company.

Abstract: A knowledge information creation assist apparatus allowing knowledge information such as FAQs to be created from user support histories accumulated in the past with a reduced workload. A knowledge information creation assist apparatus performs processing of removing at least one unnecessary utterance sentence not related to questioning from a plurality of user support histories including input questions or processing of extracting at least one utterance sentence related to questioning from the user support histories and grouping processing of classifying the user support histories output as the result of the processing into a plurality of question groups according to a predetermined classification model.

Abstract: A knowledge information creation assist apparatus assists creation of knowledge information relating to a question, for example FAQs can be created from past user accumulated support histories. The apparatus includes: an input controller configured to control upload of plural user support histories including questions; a screen controller configured to perform first display control for displaying, on a display apparatus, a question group creation screen including group information of each of question groups created from the user support histories classified according to a predetermined classification model and second display control for displaying a knowledge information creation screen for producing knowledge information in response to input performed by a creator to one of the question groups selected on the question group creation screen; and an output controller configured to produce output data of the knowledge information created for each question group on the knowledge information creation screen.

Abstract: According to one embodiment, a speech translation system includes a first terminal device including a first speech input unit for inputting a first speech of a first language spoken by a first user, and converting the first speech to a first speech signal; a second terminal device including a second speech input unit for inputting a second speech of a second language spoken by a second user, and converting the second speech to a second speech signal; a speech recognition device that receives the first speech signal and the second speech signal, recognizes the first speech signal to a first recognized text, and recognizes the second speech signal to a second recognized text; a machine translation device that receives the first recognized text and the second recognized text, translates the first recognized text to a first translated text of the second language, and translates the second recognized text to a second translated text of the first language; and a control device; wherein the first terminal device rec

Abstract: According to one embodiment, a speech translation apparatus includes a speech recognition unit, a translation unit, a search unit and a selection unit. The speech recognition unit successively performs speech recognition to obtain a first language word string. The translation unit translates the first language word string into a second language word string. The search unit search for at least one similar example and acquires the similar example and a translation example. The selection unit selects, in accordance with a user instruction, at least one of the first language word string associated with the similar example and the second language word string associated with the translation example, as a selected word string.

Abstract: According to one embodiment, a speech translation apparatus includes a speech recognition unit, a translation unit, a search unit and a selection unit. The speech recognition unit successively performs speech recognition to obtain a first language word string. The translation unit translates the first language word string into a second language word string. The search unit search for at least one similar example and acquires the similar example and a translation example. The selection unit selects, in accordance with a user instruction, at least one of the first language word string associated with the similar example and the second language word string associated with the translation example, as a selected word string.

Abstract: According to one embodiment, a speech translation system includes a first terminal device including a first speech input unit for inputting a first speech of a first language spoken by a first user, and converting the first speech to a first speech signal; a second terminal device including a second speech input unit for inputting a second speech of a second language spoken by a second user, and converting the second speech to a second speech signal; a speech recognition device that receives the first speech signal and the second speech signal, recognizes the first speech signal to a first recognized text, and recognizes the second speech signal to a second recognized text; a machine translation device that receives the first recognized text and the second recognized text, translates the first recognized text to a first translated text of the second language, and translates the second recognized text to a second translated text of the first language; and a control device; wherein the first terminal device rec

Abstract: An analyzing unit performs a morphological analysis of an input character string that is obtained by processing input speech. A generating unit divides the input character string in units of division previously decided, that is composed of one or plural morphemes, and generates partial character strings including part of components of the divided input character string. A candidate output unit outputs the generated partial character strings to a display unit. A selection receiving unit receives a partial character string selected from the outputted partial character strings as a target to be processed.

Abstract: In a machine-translation apparatus, an example storage unit stores therein target language examples in a target language and source language examples in a source language, while keeping the target language examples and the source language examples in correspondence with one another. An input receiving unit receives an input sentence in the source language. A searching unit conducts a search in the example storage unit for one of the target language examples corresponding to one of the source language examples that either matches or is similar to the input sentence. A translating unit generates a reverse-translated sentence by translating the one of the target language examples found in the search into the source language. A detecting unit detects a difference portion between the reverse-translated sentence and the input sentence. An output unit outputs the difference portion.

Abstract: According to one embodiment, a speech translation apparatus includes a speech recognition unit, a translation unit, a search unit and a selection unit. The speech recognition unit successively performs speech recognition to obtain a first language word string. The translation unit translates the first language word string into a second language word string. The search unit search for at least one similar example and acquires the similar example and a translation example. The selection unit selects, in accordance with a user instruction, at least one of the first language word string associated with the similar example and the second language word string associated with the translation example, as a selected word string.

Abstract: A speech translating apparatus includes a input unit, a speech recognizing unit, a translating unit, a first dividing unit, a second dividing unit, an associating unit, and an outputting unit. The input unit inputs a speech in a first language. The speech recognizing unit generates a first text from the speech. The translating unit translates the first text into a second language and generates a second text. The first dividing unit divides the first text and generates first phrases. The second dividing unit divides the second text and generates second phrases. The associating unit associates semantically equivalent phrases within each group of phrases. The outputting unit sequentially outputs the associated phrases in a phrase order within the second text.

Abstract: A machine translation apparatus includes a translating unit that translates a source language document into a translated document described in a target language, and creates an ambiguous portion that is a word or a sentence having an ambiguity occurred during translation; a storing unit that stores the translated document and the ambiguous portion; a speech receiving unit that receives a speech in the source language; a recognition unit that recognizes the speech received and creates a source language speech sentence as a recognition result; a translation updating unit that updates the translated language document by retranslating a part of a speech content of the source language speech sentence to which the ambiguous portion corresponds, when the source language document includes the ambiguous portion; and a display control unit that displays the updated translated document on a display unit.

Abstract: A concept obtaining unit obtains, for each example set stored in an example storage unit, a first concept of a phrase included in an example in the first language and a second concept of a phrase included in an example in the second language from a concept storage unit. A determining unit determines that an example set including an unmatched concept between first concepts and second concepts is not applicable. An example set searching unit searches for an example set that includes an example in the first language that is analogous to or matches an input sentence. An output controlling unit outputs an example in the second language of the example sets from which the example set that is determined as inapplicable is deleted, as a translation result.

Abstract: Speech translation apparatus includes first generation unit generating first text representing speech recognition result, and first prosody information, second generation unit generating first para-language information, first association unit associating each first portion of first text with corresponding first portion of first para-language information, translation unit translating first text into second texts, second association unit associating each second portion of first para-language information with corresponding second portion of each second text, third generation unit generating second prosody-information items, fourth generation unit generating second para-language-information items, computation unit computing degree-of-similarity between each first para-language information and corresponding one of second para-language-information items to obtain degrees of similarity, selection unit selecting, from second prosody-information items, maximum-degree-of-similarity prosody information corresponding to

Abstract: A first recognizing unit recognizes a first-language speech as a first-language character string, and outputs a first recognition result. A second recognizing unit recognizes the first-language speech as a most probable first-language example from among first-language examples stored in an example storing unit, and outputs a second recognition result. A retrieving unit retrieves, when a similarity between the first recognition result and the second recognition result exceeds a predetermined threshold, a second-language example corresponding to the second recognition result from the example storing unit.

Abstract: In a machine-translation apparatus, an example storage unit stores therein target language examples in a target language and source language examples in a source language, while keeping the target language examples and the source language examples in correspondence with one another. An input receiving unit receives an input sentence in the source language. A searching unit conducts a search in the example storage unit for one of the target language examples corresponding to one of the source language examples that either matches or is similar to the input sentence. A translating unit generates a reverse-translated sentence by translating the one of the target language examples found in the search into the source language. A detecting unit detects a difference portion between the reverse-translated sentence and the input sentence. An output unit outputs the difference portion.

Abstract: A concept obtaining unit obtains, for each example set stored in an example storage unit, a first concept of a phrase included in an example in the first language and a second concept of a phrase included in an example in the second language from a concept storage unit. A determining unit determines that an example set including an unmatched concept between first concepts and second concepts is not applicable. An example set searching unit searches for an example set that includes an example in the first language that is analogous to or matches an input sentence. An output controlling unit outputs an example in the second language of the example sets from which the example set that is determined as inapplicable is deleted, as a translation result.

Abstract: A receiving unit receives an input sentence in a source language. An example translation candidate translated from the input sentence into a target sentence and a first likelihood of the example translation candidate are obtained. A generating unit translates the input sentence into the target language by a process different from a process of an example translating unit, and among candidates for a translation result with each word in the input sentence, generates a translation word candidate showing a candidate whose second likelihood is equal to or more than a first threshold value. When a translation word included in the example translation candidate is not included in the translation word candidate, a changing unit lowers the first likelihood by only a predetermined value. A selecting unit selects the example translation candidate whose first likelihood is a maximum, from the example translation candidate.

Abstract: Speech translation apparatus includes first generation unit generating first text representing speech recognition result, and first prosody information, second generation unit generating first para-language information, first association unit associating each first portion of first text with corresponding first portion of first para-language information, translation unit translating first text into second texts, second association unit associating each second portion of first para-language information with corresponding second portion of each second text, third generation unit generating second prosody-information items, fourth generation unit generating second para-language-information items, computation unit computing degree-of-similarity between each first para-language information and corresponding one of second para-language-information items to obtain degrees of similarity, selection unit selecting, from second prosody-information items, maximum-degree-of-similarity prosody information corresponding to