Method of retrieving English text based on matching degree

A matching degree and English technology, applied in the field of English text retrieval, can solve problems such as reduced user experience, inability to understand query intent, and inaccurate information, and achieve the effects of reducing retrieval burden, improving retrieval efficiency, and improving comprehensiveness

Active Publication Date: 2017-10-10
JINZHOU MEDICAL UNIV
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AI Technical Summary

Problems solved by technology

[0002] For the retrieval of English texts, the current main method is to match the search object with the pre-set keywords to determine whether they match, that is, to divide the English text to be retrieved into different keywords for retrieval separately, but the computer cannot effectively disassemble cannot understand human language patterns, so cannot u

Method used

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  • Method of retrieving English text based on matching degree
  • Method of retrieving English text based on matching degree
  • Method of retrieving English text based on matching degree

Examples

Experimental program
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Embodiment

[0048] The keyword c2 is determined in the field where the noun is located, and the semantic similarity between the noun c1 and the keyword c2 is defined as:

[0049]

[0050] Among them, Dist c1，c2 is the retrieval distance between noun c1 and keyword c2, calculated by the sum of edge weights (word weights) of the shortest path between them; word weight is directly related to the strength of the connection between keywords, then the sub-concept The strength of the connection between ci and its parent concept c′ can be expressed as:

[0051]

[0052] Preferably, considering other factors, such as local density, concept depth and concept relationship in the domain, the edge weight wt(ci, c′) between the entire concepts is expressed as:

[0053]

[0054] Among them, d(c') represents the depth of c' in the field where the noun is located, E(c') is the relation number of the field where the noun is located, is the average relationship number in the domain where the noun...

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Abstract

The invention discloses a method of retrieving English text based on the matching degree. The method includes the following steps that firstly, in a server, retrieval information is stored in advance, each English document is related to a retrieval unit, wherein each retrieval unit includes ID, English document entry time and at least one search strip, each retrieval strip comprises at least one noun and notional verb in the abstract of the English document associated with the retrieval unit, and weights are preset for all the search strips; secondly, the retrieval of English is divided into noun and notional verb after inputting, the noun and the notional verb are expanded into retrieval statements; thirdly, retrieval the weight is obtained from the similarity evaluation of the retrieval statement, the retrieval weight is matched with the preset weight, results are sorted according to the matching degree and a list of retrieval results is obtained.

Description

technical field [0001] The invention relates to English text retrieval, in particular to a method for retrieving English text based on matching degree. Background technique [0002] For the retrieval of English texts, the current main method is to match the search object with the pre-set keywords to determine whether they match, that is, to divide the English text to be retrieved into different keywords for retrieval separately, but the computer cannot effectively disassemble It cannot understand human language patterns, so it cannot understand the query intent, resulting in inaccurate search information. [0003] In view of the above problems, users can add advanced grammar to operate when searching, but the input of advanced grammar is complex and requires high user experience, which reduces the user experience, and the matching degree between the searched sentence and the pre-set keywords is not enough. Contents of the invention [0004] The present invention designs a...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/3331G06F16/3334
Inventor 刘曲杨天地马丽娣
Owner JINZHOU MEDICAL UNIV
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