Weiha Kewen intelligent input method based on syllable segmentation

A technology of intelligent input and syllables, applied in the field of letter input method, can solve the problems of not satisfying users to quickly find words, inconvenient to use, etc., and achieve the effect of shortening waiting time, improving the degree of induction, and improving the query speed.

Active Publication Date: 2016-09-14
国网新疆电力有限公司信息通信公司 +1
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In recent years, with the continuous progress of the information technology of ethnic minorities, the electronic software programming technology of ethnic minority languages ​​in Xinjiang has also developed relatively, but in the field of input methods for Uighur, Kazakh and Kirgiz, there is still a lack of a Intelligent input methods that can improve the input efficiency and quality of ethnic minority languages ​​(Uighur, Kazakh, and Ke) have appeared. Although there have been some simple intelligent input methods that follow the Unicode standard and display candidate words in a regular order, but It is still very inconvenient to use and fails to meet the needs of users to quickly find words

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Weiha Kewen intelligent input method based on syllable segmentation
  • Weiha Kewen intelligent input method based on syllable segmentation
  • Weiha Kewen intelligent input method based on syllable segmentation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] A syllable-segmented Vihacowen intelligent input method, the steps are as follows:

[0019] (I) Index construction: the first letters of all syllables of each Uighur, Kazakh or Ke language word are used to form a combination of letter strings in order, and the combination of alphabet strings arranged in sequence is summarized into a total syllable initial letter index, and the total syllable The combination of letter strings in the initial letter index corresponds to form a word index with the combination of letter strings arranged in order from the total syllable initial letter index, and all the words in the word index correspond to all letter string combinations of the total syllable initial letter index respectively , some of the words whose letter string combination contains the same letter as a certain letter string index of the total syllable initial letter index, and the order of the letters of the words in the word index is also the same as a certain letter stri...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a syllable segmentation-based Uighur, Kazakh and Kirghiz intelligent input method. According to the method, each word is segmented according to Uighur, Kazakh and Kirghiz syllables; a primary index is formed by the initial sequence of each syllable; a (secondary) word index is formed by indexes of a word sequence corresponding to the primary index; when the syllable initial sequence is input by a user, the (secondary) word sequence index is retrieved according to the primary index; the word sequence is obtained according to the (secondary) word sequence index; a candidate word list (index) is generated according to the frequency of utilization of the index word for the user to choose; and the word frequency is updated according to the trend of the frequency of utilization of the word input by the user. According to the method, the number of Uighur, Kazakh and Kirghiz letters keyed by the user can be reduced, the word entering speed is greatly improved, the spelling mistake of the Uighur, Kazakh and Kirghiz language is reduced, and further the requirements of the user on the query of the Uighur, Kazakh and Kirghiz are met, thereby fulfilling the aim of quickly and accurately inputting the required Uighur, Kazakh and Kirghiz characters.

Description

technical field [0001] The invention relates to the field of letter input methods, and belongs to the improvement of intelligent input methods of pinyin languages ​​such as Uighur (Uighur) language, Kazakh (Kazakh) language, and Ke (Kirgiz) language, especially the intelligent input method of Viha Kewen based on syllable segmentation. Background technique [0002] In recent years, with the continuous progress of the information technology of ethnic minorities, the electronic software programming technology of ethnic minorities in Xinjiang has also developed relatively, but in the fields of Uyghur, Kazakh and Kirgiz input methods, there is still a lack of a Intelligent input methods that can improve the input efficiency and quality of ethnic minority languages ​​(Uighur, Kazakh, and Ke) have appeared. Although there have been some simple intelligent input methods that follow the Unicode standard and display candidate words in a regular order, but It is still very inconvenient...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/023G06F17/30
Inventor 尼加提·纳吉米买合木提·买买提帕肉克·司地克马斌
Owner 国网新疆电力有限公司信息通信公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products