Intelligent error correcting system and method in network searching process

Abstract

The invention relates to an intelligent error correction system of key words in the process of searching networks and a method thereof. On an Internet platform, firstly, a related linguistic model and a corresponding dictionary as well as a data index database are established through the training of related data information; secondly, a text is inputted, a Pinyin error correction part calculates the mistakes of Pinyin and characters, the error correction of characters is calculated by a fuzzy match; finally, all results are filtered according to the degree of association, a plurality of results are sorted to get the proximal results. The polyphone mistakes and character types as well as word types mistakes inputted by a user are corrected by means of the sound-character conversion and fuzzy error correction technical methods to correct the character replace mistakes, the unwanted character or the leakage of character mistakes, the character position mistakes, etc. in the input process. Moreover, the basic functions are expanded on the basis such as the English-Chinese and punctuations mixing error correction, the fuzzy match technique, the related prompt technique and the enhanced intelligence error correction.

Description

technical field [0001] The invention relates to the field of intelligent processing of network text information, in particular to the automatic error correction and related prompt technology of keyword information in the process of network search. Background technique [0002] In the age of information technology, the way to obtain various information through the Internet has exploded, and has increasingly become the main way for people to obtain information and knowledge. [0003] When people get information, especially when they go to the Internet to find the information they want, they will use the network information search system, and sometimes they will inevitably encounter some problems. For example, during the operation of the search system, the query results cannot be obtained by using some input keywords, or the obtained query results are not very close, which results in that the user cannot find satisfactory results. Its error types can be attributed to the five ...

AI Technical Summary

Problems solved by technology

Through the method of phonetic-character conversion, correcting wrong words can only be done with homonyms, and it cannot solve the situation of missing characters, multiple characters, and typos; at the same time, conventional phonetic-character c

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