Method and system for generating input-method word frequency base based on internet information

Abstract

The method includes following procedures: using technique of network crawler to obtain web pages of Internet; carrying out procedure of dividing words for information of web pages; carrying out statistics of word frequency for vocabulary entry, and saving statistical result so as to form Internet word frequency base. Using public real-time changeable information from Internet being as source of statistics of word frequency, the invention can create up to date, optimal information of word frequency. Through each convenient way, the method updates the word frequency base of system in input method system from the said optimal information of word frequency. Thus, information of word frequency base of system can be kept consistent to information in Internet. The invention raises hit rate of first selected word from user so as to raise input speed and efficiency.

Description

technical field [0001] The present invention relates to the field of Internet information processing, in particular to a method and system for generating an input method word frequency database using Internet information as a source of word frequency statistics, and an input method system. Background technique [0002] Current input method systems (including Chinese, Japanese, Korean, etc.) are all based on their thesaurus systems and word frequencies in the thesaurus systems to provide users with a ranking of candidate words during information input. The ranking of candidate words is an important indicator of the hit rate of users' preferred words in the process of information input. The hit rate of the preferred words means that after the user inputs certain keyboard information, the words or words ranked first are most needed by the user. Of course, taking the Chinese input method as an example, technically speaking, the input method system itself cannot know which word ...

AI Technical Summary

Problems solved by technology

[0004] However, with the acceleration of the pace of society, the continuous cultural conflict and integration, leading to the use of many words in modern society, the use of existing specific closed document collections is far from being able to cover, especially with the popularity of the Internet, As a result of the rapid expansion of information, the above-mentioned problems have become more and more prominent

Due to the small size and fixed content of the closed document collection, the document collection was formed earlier and updated very slowly, and the frequency of words obtained from it does not meet the activeness of Internet use, which will lead to the use of words with relatively low frequency. Words are sorted first, but the current most frequently used words are sorted last

For example: "top", "online game", "financial report" and other Internet common words are used quite frequently, but in the existing technology, the general order of these words is relatively low, which does not meet the user's need for frequent use.

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