Input method editing method and device

Abstract

The invention provides an input method editing method and device. The method comprises the steps that a mobile device displays a character string input by a user on an input method interface and displays associated alternative words; after detecting the long-pressing+dragging operation on characters on an input method keyboard by the user, the mobile device conducts corresponding modifying operation on the character string input by the user according to the position which the characters are dragged to by the user. According to the input method editing method and device, after the characters are input through an input method, if the input characters are wrong or an associated result is not ideal, the editing and modifying operation, for example, the input characters can be quickly replaced or deleted or new characters can be quickly inserted, can be conducted, and therefore the input method editing efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of input methods, in particular to an input method editing method and device. Background technique [0002] The existing input method error correction technology mainly uses thesaurus comparison and other methods to correct errors. In the Chinese input method, the wrong pinyin method is also identified and corrected through the combination of phonetic and final consonants. [0003] The existing input method context recognition technology can increase the number of candidate characters by identifying characters adjacent to the character clicked by the user, so as to achieve the effect of improving the recognition accuracy. [0004] Although the accuracy and error correction ability of the input method itself has been improved by adding adjacent characters and recognizing errors through the vocabulary, but because it is an automatic recognition process, there is still a problem of insufficient accura...

AI Technical Summary

Problems solved by technology

[0004] Although the accuracy and error correction ability of the input method itself has been improved by adding adjacent characters and recognizing errors through the vocabulary, but because it is an automatic recognition process, there is still a problem of insufficient accuracy, and there is no way to achieve 100% accuracy. , when the user needs to operate manually, there will still be the problem of cumbersome steps

[0005] The existing input method error correction technology can only identify wrong spellings based on the existing lexicon, but due to the limited capacity of the lexicon itself and the diversity of spelling mistakes, it is impossible to achieve 100% recognition errors

Especially for Chinese input methods, many users who are accustomed to using dialect idiomatic spelling for input often cannot get ideal input results. For example, users cannot get the result of "nearby" when they input "lingjin"

[0006] Existing input method context recognition technology can identify the characters adjacent to the character clicked by the user, but if the user enters a larger error range than the adjacent character or the user wants to change a word, there will be problems, especially in long sentences, changing characters It takes a long time to delete the previously entered characters

Images