Kabushiki Kaisha Toshiba

Hiromi Wakaki

Masaru Suzuki

Kazuo Sumita

Hiroko Fujii

Michiaki Ariga

Kosei Fume

Kenji Iwata

Masayuki Okamoto

Toshihiko Manabe

Wataru Nakano

Tomoharu Kokubu

According to one embodiment, an apparatus includes a storage unit, a first acquisition unit, a second acquisition unit, an analyzer, and a recognition unit. The storage unit stores first situation information about a situation assumed in advance, a first representation representing a meaning of a sentence assumed, intention information representing an intention to be estimated, and a first value representing a degree of application of the first representation to the first situation information and the intention information. The first acquisition unit acquires a natural sentence. The second acquisition unit acquires second situation information about a situation when acquiring the natural sentence. The analyzer analyzes the natural sentence and generates a second representation representing a meaning of the natural sentence. The recognition unit obtains an estimated value based on the first value associated with the first situation information and the first representation.

Spoken language understanding apparatus, method, and program

According to one embodiment, a foreign language service assisting apparatus is provided with first and second acquisition units, a translation unit, a presentation unit and an accepting unit. The first acquisition unit acquires first information on a first article. The second acquisition unit acquires second information on second articles associated with the first article, and subsequent speech candidates expected to be spoken, based on the first information. The translation unit translates the first information, the second information, and the candidates. The presentation unit presents translation result. The accepting unit accepts selection associated with the first or second articles or the candidate.

Foreign language service assisting apparatus, method and program

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.

Keyword presentation apparatus and method

According to an embodiment, an information retrieving apparatus includes a housing; an input-output unit to perform dialogue processing with a user; a first detecting unit to detect means of transfer which indicates present means of transfer for the user; a second detecting unit to detect a holding status which indicates whether the user is holding the housing; a third detecting unit to detect a talking posture which indicates whether the housing is held near the face of the user; a selecting unit to select, from among a plurality of interaction modes that establish the dialogue processing, an interaction mode according to a combination of the means of transfer, the holding status, and the talking posture; an dialogue manager to control the dialogue processing according to the selected interaction mode; and a information retrieval unit to retrieve information using a keyword that is input during the dialogue processing.

Information retrieving apparatus, information retrieving method, and computer program product

Growing community of inventors

Tokyo, Japan

Hiromi Wakaki