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Storage unit for text input predication and user dictionary

A text prediction and memory technology, which is applied in memory systems, instruments, special data processing applications, etc., can solve problems such as limited usefulness

Inactive Publication Date: 2007-01-03
GOOGLE TECHNOLOGY HOLDINGS LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As such, they are useful for standard vocabulary entry and have limited usefulness for odd or uncommon words

Method used

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  • Storage unit for text input predication and user dictionary
  • Storage unit for text input predication and user dictionary
  • Storage unit for text input predication and user dictionary

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] The preferred embodiment includes input text prediction, where not only static dictionaries are used, but user dictionaries whose content and order of arrangement often change according to the user's use of words. When confirming the entry of a word, whether or not it is selected from the candidate list (obtained by text prediction), the word is entered into the first part of the two-part user dictionary. Space is limited in both parts of the user dictionary, so words fall from the first part into the second part when they are no longer used, and then, as other words are used more frequently, not used The word eventually exits the user dictionary entirely. In this way, when the more recently entered entry belongs to a different word group, it reduces the possibility that many words in the user dictionary have the same frequency statistics and are often proposed together. For this purpose, a word is simply a string of possibly two or more letters, syllables, pictographs...

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Abstract

The enter text prediction not only uses static dictionary, but also uses user distionary whose contents and manshalling sequence can be often changed with the condition of that user utilizes the characters. When the character is committed to input, regardless of that said character is selected from candidate character table (obtained by text prediction) or not, said character is placed in the first portion of user dictionary divided into two portions. Two portions of user dictionary have limited space, so that when the characters are not used, they can be fallen into second portion from first portion, then said non-used characters can be completely removed from the user dictionary finally with the frequency application of other characters.

Description

technical field [0001] The present invention relates to text input prediction and user dictionaries for such prediction. The present invention is particularly applicable to, but not limited to, predictive text entry by swipe touch screen. Background technique [0002] One of the major areas of development for display devices is small portable devices such as mobile phones, personal digital assistants (PDAs), global positioning system (GPS) navigators, and similar devices. These devices use various methods to input symbols or data into them, such as: real or virtual buttons, speech recognition, character recognition, etc. In the latter case, characters are handwritten into the handwriting area of ​​the display, and character recognition software is used to determine what the handwritten character is. Although the virtual keyboard may be faster than handwriting for entering alphabetic characters (such as Roman, Greek, Cyrillic, etc.), when entering more complex characters, e...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F12/08G06F3/14G06F17/22G06F12/0897
Inventor 镇立新赫荣奎黄建成饶宏
Owner GOOGLE TECHNOLOGY HOLDINGS LLC