Sony Corporation

Tetsuya Kagami

Yasuharu Asano

Kazuo Ishii

Hiroaki Ogawa

Yasuhiko Kato

Makoto Akabane

Masao Watari

Hiroshi Kakuda

Miyuki Tanaka

Kazuo Watanabe

Katsuki Minamino

Masanori Omote

Yusuke Iwahashi

Yoshihiro Kuroki

Atsuo Hiroe

Masato Shimakawa

Tatsuzo Ishida

Kozo Kawakita

Erika Kobayashi

Tadashi Ohtsuki

A natural language processing apparatus includes an input section for inputting natural language, a representation converting section for converting representation of the natural language, a display section for displaying, for confirmation, sentence converted at the representation converting section, a machine translation section for carrying out machine translation of the confirmed sentence, and a control section for controlling these respective sections, thus to provide natural language processing in which confirmation operation of user is reduced.

Natural language processing apparatus and natural language processing method

A robot provides a communicating means to move based on the transmission and reception of information to/from the outside, thereby making it possible to realize a robot with high usability. In addition, it recognizes the user's condition based on sensors provided around a user and outputs a response message according to the recognition. Thus, an information processing system which is very helpful can be realized.

Robot and information processing system

A book database stores at least phonetic signal information including phoneme information and rhythm information as document data, a central system transmits phonetic signal information stored on the book database to a terminal and the terminal receives the phonetic signal information is then carried out at the terminal and the document is then recited via synthesized sounds.

Information access system and recording medium

An apparatus and a method for processing a natural language arranged so as to improve the speech recognition rate. In an example search section, the degree of similarity between each of a plurality of examples of the actual use of the language stored in an example data base and each of a plurality of probable recognition results output from a recognition section, and one of the examples corresponding to the highest degree of similarity is selected. A final speech recognition result is obtained by using the selected example. The example search section calculates the degree of similarity by weighting the degree of similarity on the basis of a context according to at least one of the examples previously selected.

Apparatus and method for processing natural language and apparatus and

A translation apparatus and a translation method arranged to facilitate the operation of inputting a speech and to obtain a correct translation. When a speech in Japanese is input to a microphone by a user, it is recognized in a speech recognition section and one or more words constituting the speech are output to a system control section. The system control section searches Japanese sentences stored in a first language sentence storage section to find one of them most similar to a combination of one or more words output from the speech recognition section. The Japanese sentence thereby found is output through an output section. If this Japanese sentence is correct, the user operates one of control keys. The system control section then searches English sentences stored in a second language sentence storage section to find one of them corresponding to a translation of the Japanese sentence output as a search result, and outputs the English sentence thereby found through the output section.

Translation apparatus and method for facilitating speech input operation

Information access system and recording system

In a speech recognizing apparatus, a grammatical qualification of a proposed speech recognition result candidate is judged without using a grammatical rule. The speech recognizing apparatus for performing sentence/speech recognition is comprised of an analyzing unit for acoustically analyzing speech inputted therein to extract a feature parameter of the inputted speech; a recognizing unit for recognizing the inputted speech based upon the feature parameter outputted from said analyzing unit to thereby a plurality of proposed recognition result candidates; an example data base for storing therein a plurality of examples; and an example retrieving unit for calculating a resemblance degree between each of said plurality of proposed recognition result candidates and each of the plural examples stored in the example data base and for obtaining the speech recognition result based on said calculated resemblance degree.

Speech recognizing method and apparatus, and speech translating system

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Chiba, Japan

Tetsuya Kagami