Nec Corporation

Kazunori Muraki

Kenji Satoh

Hiroshi Yamada

Takako Hanada

Toshikazu Fukushima

Susumu Akamine

Takako Komatsu

Naoyuki Nomura

A community member registration method is for registering a member in a community service system in which a community service server, and authentication server and a plurality of portable terminals are connected via a network. The community service server provides community service, the authentication server determines whether or not a member has authority to receive services provided by the community service server, and the portable terminals are capable of direct communication to each other. The method includes: sending a terminal identifier obtained from a portable terminal of an invitee together with a registration request from a portable terminal of an inviter to the authentication server; issuing an account of the invitee in response to the registration request in the authentication server; notifying the account to the portable terminal of the inviter from the authentication server; and sending the account from the portable terminal of the inviter to the portable terminal of the invitee.

Member registration method, community service system, portable terminal, and member invitation processing program

The invention provides a language data storage and reproduction apparatus wherein manual application of a tag is unnecessary and, even if key inputting for retrieval is not accurate, object language data can be reproduced. A tag application section automatically applies to each language data inputted from a language data inputting section a tag representative of a distribution position of the language data in the entire language data, and a data recognition section performs data recognition processing of the individual language data to obtain recognition data. A storage section stores the recognition data together with the language data to which the tags are applied with reference to the tags. If a word or a phrase to be retrieved is inputted, a key retrieval section retrieves recognition data coincident with the word or the phrase from within the storage section. When the tag corresponding to the retrieved recognition data is outputted as a retrieval result, a data extraction section extracts the language data designated by the tag from the storage section. A language data reproduction section reproduces the language data extracted by the data extraction section.

Language data storage and reproduction apparatus

A system which allows utilization of retrieval terms used in retrievals performed formerly by an outsider to facilitate and accelerate retrieval of documents. A history storage apparatus stores retrieval histories each having information including a group of retrieval items including at least an item of 'retrieving person', retrieval terms and a retrieval result. A history storage section stores, when retrieval of documents is performed, a retrieval history regarding the retrieval into the history storage apparatus. A history retrieval section retrieves, in 'retrieval which is performed utilizing a retrieval history', a retrieval history which satisfies designations of terms of an inputted retrieval item from among the retrieval histories by another retrieving person stored in the retrieval storage apparatus. A retrieval section retrieves documents utilizing retrieval terms of a retrieval history by the other retrieving person detected by the history retrieval section.

Information retrieval system

A moving object navigation apparatus includes an input section, a map information memory section, a database, a coordinate retrieval section, a route calculation section, and an output section. The input section inputs institution names indicating the present location of a moving object and a destination by using a natural language. The map information memory section stores a map including information of roads and institutions. The database stores the relationship between the institution names on the map stored in the memory and position indexes. The coordinate retrieval section retrieves the institution names indicating the present location and the destination, which are input by the input section, from the database, and outputs corresponding position indexes. The route calculation section obtains the shortest route between the position indexes of the present location and the destination, which are output from the coordinate retrieval section, by referring to the map stored in the memory. The output section outputs route information obtained by the calculation section to the user of the moving object.

Navigation apparatus using a position index and information

A character string input system includes an input storage portion for temporarily storing input character string with an incomplete input indicative signs. There is also a word dictionary storing words. An incomplete word supplementing portion compares the character string with the word stored in the word dictionary. Also, there is a neglected word supplementing portion for predicting a word to be supplemented at the position of the incomplete input indicative sign representing an omitted word. A supplementing candidature storage portion temporarily stores candidate character strings for the incomplete word supplementing portion and the neglected word supplementing portion. A supplementing control portion controls the incomplete word supplementing portion and the neglected word supplementing portion on the basis of the incomplete input indicative sign, and retrieves the candidate character string corresponding to the position of the incomplete input indicative sign in the character string.

Character string input system for completing an input character string

The relationships between words included in an input character string are analyzed. At least one related element conforming to the analyzed relationships is extracted from the input character string. Subject sentences are retrieved from stored documents using the related elements as retrieval keys, and the retrieved subject sentences are displayed on screen. Priority rank is given to the respective subject sentences in accordance with the degrees of coincidence between the respective subject sentences and the related elements. The subject sentences are displayed on screen according to the given priority rank.

Editing apparatus for simultaneously editing two different types of data

Morphemic, conceptional or semantic, and syntaxic dictionaries (21-23) keep morphemic, conceptional, and syntaxic items, respectively. Each morphemic item comprises a morphemic description and a first pointer pointing to a set of syntaxic items corresponding to the morphemic description. Similarly, each conceptional item comprises a conceptional description or symbol and a second pointer pointing to a set of syntaxic items. Each syntaxic item comprises a syntaxic description and a third and a fourth pointer pointing to a set of morphemic items and to a set of conceptional items, respectively. Responsive to an input expression, a retrieving arrangement (24) retrieves a morphemic and a conceptional item when the input expression is morphemic and conceptional, respectively. The first or the second pointer of the retrieved item is used in retrieving a syntaxic item by which the morphemic and/or the conceptional dictionary is referred back to. An output expression is produced as a morphemic, a conceptional, and/or a syntaxic expression as desired.

Language processing dictionary for bidirectionally retrieving morphemic

In a machine translating system wherein word units of a source language are translated to word units of a target language through pivot words of a pivot language, a pragmatic table keeps the pivot words as dominant and dependant pairs together with a relation symbol specifying a semantic relationship between the pivot words of each pair in the pivot language and with surface data representative of the relationship in surface structures of the source and target languages. On analyzing an input word unit string into a source semantic structure, the pragmatic table is referenced to link the pivot words into pairs by relation symbols incompliance with the dominant and dependant pairs and the source surface data therefor. The semantic structure is therefore allowed by the pragmatic table. On mapping the semantic structure to a pivot representation and the representation to a target semantic structure in consideration of wording of the target language, the pragmatic table is similarly referred to. The representation and the target semantic structure are thereby checked against the dominant and dependant pairs and the relation symbols therefor. On generating an output word unit string from the target semantic structure, the pragmatic table is likewise referenced to check whether or not the output string is allowed by the dominant and dependant pairs and the target surface data therefor.

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Tokyo, Japan

Kazunori Muraki