Retrieval device

A dictionary and input unit technology, applied in the field of retrieval devices, can solve the problem of increasing the number of candidates, and achieve the effect of shortening the operation time and realizing the average operation time

Inactive Publication Date: 2012-02-29
MITSUBISHI ELECTRIC CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this case, it becomes a search that also takes into account misrecognition at the time of speech recognition, and the number of candidates is further increased.

Method used

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Experimental program
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Embodiment approach 1

[0039] figure 1 It is the overall structure of the retrieval device contemplated by the present invention. The input unit 10 accepts input based on text, voice, etc., and refers to the large-vocabulary speech recognition dictionary 103 to convert the input into a form acceptable to the search unit 20 as necessary. The search unit 20 performs a fuzzy search by referring to the search index 102 . The presentation unit 30 refers to the name information dictionary 101 to present the name and incidental information based on the search result of the search unit 20 to the user.

[0040] The name information dictionary 101, the search index 102, and the large-vocabulary speech recognition dictionary 103 are created based on data to be searched. When the search target becomes large-scale, the size of these data also increases, so they are arranged on the secondary storage device 40 .

[0041] figure 2 It is a functional block diagram showing the configuration of the search device ...

Embodiment approach 2

[0075] Figure 9 It is a functional block diagram showing the configuration of the search device according to Embodiment 2 of the present invention. The search device according to the second embodiment is provided with the search device according to the first embodiment additionally with a recognition dictionary generation unit 302 for reduction. Also, assume that the input is speech. In the following, the same structure as that of Embodiment 1 is marked with figure 2 The same symbols used in the symbols are omitted or simplified descriptions.

[0076] The large vocabulary recognition dictionary 103 is a speech recognition dictionary created in advance to recognize the user's search performance for name information to be searched. In general, in speech recognition, the more words that appear next can be limited by the speech recognition dictionary, the higher the recognition rate can be expected. In the following description, as an example of a recognition dictionary, a r...

Embodiment approach 3

[0104] Figure 13 It is a functional block diagram showing the configuration of the search device according to Embodiment 3 of the present invention. In the search device according to the third embodiment, the search device according to the second embodiment is additionally provided with a recognition dictionary adaptation means 401 for reduction. Below, the same structure as Embodiment 2 is marked with Figure 9 The same symbols are used, and descriptions are omitted or simplified.

[0105] Voice input unit 301 accepts a user's voice input, performs voice recognition with reference to a recognition dictionary, and outputs a character string. The recognition dictionary refers to the large vocabulary recognition dictionary 103 when there is no search history. When there is a search history, the reduction method selection section 203 refers to the recognition dictionary output from either the recognition dictionary generation section 301 for reduction or the recognition dicti...

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Abstract

In systems according to conventional retrieval techniques for restricting a candidate when there are a plurality of candidates as retrieval results, a method involves such a problem that a huge number of candidates are selected in order to prevent omission of candidates, whereby the administration cost is increased, and another method involves such a problem that all candidates are always subjected to processing, whereby the processing period is prolonged and the response performance is lowered A retrieval device according to this invention comprises: a retrieval history storage means which stores a retrieval history including a content inputted from an input means and a candidate list; a narrowing-down system selection means which selects, according to the content of the stored retrieval history, a narrowing-down method from a system of limiting subjects to be retrieved to high-order candidates or a system of re- retrieving on the basis of input in the past and sets retrieval candidates and scores thereof from the retrieval history by the selected narrowing-down system; a candidate score update means which updates the candidate scores by referring to an index for retrieval on the basis of a character string received from the input means; a candidate determination means which determines candidates to be presented, on the basis of the number of the updated candidates and the distribution of the scores; and a candidate presentation means which presents the determined candidates to a user by referring to name information data.

Description

technical field [0001] The invention relates to a retrieval device for input based on pattern recognition such as text input or input voice, such as names of facilities. Background technique [0002] The name retrieval technology based on a character string index is a technology for searching a name that appears in a partial character string of a morpheme or an N-character chain of a search object. Japanese Patent No. 3665112 discloses a method of summing up the scores of each candidate based on the collation of partial character strings, and making a high-ranking candidate a search result. In this case, it is possible to realize a fuzzy search that extracts similar candidates even if the character string does not completely match the input. In the fuzzy search, it is necessary to hold a plurality of candidates with different scores, and the memory usage and calculation load are larger than those of the perfect match search. [0003] The size of the character string index ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F3/16G10L15/00G10L15/22G10L15/28
CPCG10L15/1815G06F16/334
Inventor 冈登洋平花沢利行
Owner MITSUBISHI ELECTRIC CORP
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