Kabushiki Kaisha Toshiba

Toshiba Solutions Corporation

Hitachi, Ltd.

Yoshimi Saito

Shinji Matsumoto

Hiroyuki Suzuki

Hideki Hirakawa

Shigeaki Sakurai

Shozo Isobe

Shigeru Matsumoto

Kimihito Takeda

Kazuyoshi Nishi

Toshiyuki Kano

Masahisa Shinozaki

Kyoko Makino

Mikito Kobayashi

Yoshinori Masaoka

Masafumi Hikari

Jun Asaki

Provided is a knowledge extracting apparatus for extracting knowledge information related to a knowledge-extraction target from an electronic document distributed continually in a state where the electronic document is not associated with the knowledge-information extraction target. A knowledge extracting apparatus according to one embodiment is a knowledge extracting apparatus including: an information receiving section for receiving an electronic document; a knowledge extracting section for extracting a concept from the electronic document based on a target word to extract knowledge information and a clue word to extract knowledge information and forming knowledge information in which the concept thus extracted and the target word are associated with each other; a storage section for storing the knowledge information thus extracted; and an information analysis section for, after the knowledge information is stored, analyzing the electronic document based on the knowledge information in the storage section.

Forming knowledge information based on a predetermined threshold of a concept and a predetermined threshold of a target word extracted from a document

Provided is an orthographical variant detection apparatus which detects orthographical variant candidates with a high precision. The orthographical variant detection apparatus includes a term extraction unit that extracts terms from document data, a similarity computation unit that computes similarity of an arbitrary pair of the extracted terms, an orthographical variant candidate determination unit that determines, based on the similarity, whether or not the terms in the pair of terms are orthographical variant candidates, and a group classification unit that groups the orthographical variant candidates based on a character string commonly included in pair of terms as the orthographical variant candidates.

Orthographical variant detection apparatus and orthographical variant detection method

Radio resources are utilized efficiently and the communication quality is improved by flexibly adapting to the state of radio waves at a base station varying every moment or the topology of the distribution area of contents in multicast communication. The base station () stores information including the flow distribution starting time, the error rate measuring period, the threshold in an intra-base station flow management table. When detecting that it becomes the time before the error rate measuring period from the flow distribution starting time, the reception quality of radio terminals in the communication area of the base station () is measured. A base station (-) where the reception quality exceeds the threshold redundantly transmits multicast data assigned to a plurality of radio resources (---). A base station (-) where the reception quality does not exceed the threshold transmits multicast data assigned to a single radio resource (-).

Radiocommunication system and multicast data distribution method in the radiocommunication system

A translation word learning scheme for a machine translation capable of learning translation words for each lexical rule separately and easily. In this scheme, a translation word for each original word is obtained by a machine translation using a translation dictionary storing headwords in the first language, a plurality of lexical rules for each headword, and at least one candidate translation word in the second language corresponding to each lexical rule. Then, a change of a translation word from that obtained by the machine translation to another translation word specified by a user is learned by registering a learning data indicating a headword, a top candidate translation word corresponding to a lexical rule applied in translating this headword, and the specified translation word. This specified translation word is used in subsequent translations only when an original word and a top candidate translation word for this original word obtained by the machine translation coincide with the headword and the top candidate translation word indicated in the learning data.

Translation word learning scheme for machine translation

Growing community of inventors

Yokohama, Japan

Yoshimi Saito