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A deep learning evaluation model, input method pinyin error correction method and device

An error correction method and evaluation model technology, applied in the field of input methods, can solve problems such as syllable analysis ambiguity, wrong pinyin character input, etc., to achieve the effect of improving operating efficiency and solving ambiguity

Active Publication Date: 2021-08-24
BEIJING THUNISOFT INFORMATION TECH
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Problems solved by technology

[0004] In order to solve the situation that there may be wrong pinyin characters input in the input pinyin string, and at the same time solve the problem of possible ambiguity in syllable parsing, and take into account the localization information platform and improve the operating efficiency of the input method, it is urgent to improve the existing technology. Improve

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  • A deep learning evaluation model, input method pinyin error correction method and device
  • A deep learning evaluation model, input method pinyin error correction method and device
  • A deep learning evaluation model, input method pinyin error correction method and device

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Embodiment 1

[0054] Embodiment 1 of the present invention provides an input method pinyin error correction method, which uses an automatic state transition machine-based method to achieve efficient levenshtein distance (editing distance) matching between input pinyin strings and standard syllables. Then, through the evaluation model based on deep learning, the current input pinyin string and the combined score of each correct syllable are given. Finally, by using dynamic programming-based calculations, the optimal combined pinyin analysis results are obtained.

[0055] Such as figure 1 As shown, the method includes the following steps:

[0056] Step S1, obtaining the pinyin string input by the user.

[0057]Step S2, for the input pinyin string, segment out several syllables whose length is less than the set first threshold. Preferably, the first threshold is set to 8 in the present invention.

[0058] Step S3, for each erroneous syllable, use the constructed standard syllable set saved...

Embodiment 2

[0085] This embodiment provides an input method pinyin error correction device, such as Figure 5 As shown, it includes an acquisition module, an approximate standard syllable matching module, a deep learning evaluation model and a calculation module described in the embodiments.

[0086] Obtaining module: used to obtain the pinyin string input by the user, and divide the pinyin string into several syllables according to the first threshold length;

[0087] Approximate standard syllable matching module: used to match the approximate standard syllables of each syllable and form a set of approximate standard syllables;

[0088] Deep learning evaluation model: used to evaluate the matching degree between each approximate standard syllable of each syllable and the first n syllables of the syllable;

[0089] Calculation module: used to calculate the matching degree value and the maximum value of the matching degree in all syllable combinations.

Embodiment 3

[0091] This embodiment provides a computer storage medium on which an input method pinyin error correction program is stored. When the input method pinyin error correction program is executed by a processor, the input method pinyin error correction method described in the first embodiment is implemented.

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Abstract

The invention provides a deep learning evaluation model, an input method pinyin error correction method and device, which uses a method based on an automatic state transition machine to realize efficient levenshtein distance (editing distance) matching between input pinyin strings and standard syllables. Then, through the evaluation model based on deep learning, the combination score of the currently input pinyin string and different approximate standard syllables is given. Finally, by using dynamic programming-based calculations, the optimal combined pinyin analysis results are obtained. The present invention can correct possible wrongly input syllables, output correct and most probable syllable division results, solve possible ambiguity problems, take into account the localized information platform, and improve the operating efficiency of the input method.

Description

technical field [0001] The invention relates to the field of input methods, in particular to a deep learning evaluation model, an input method pinyin error correction method and device based on the model. Background technique [0002] Pinyin input method, as a general way of outputting Chinese characters, is an indispensable software in people's daily information life. The Chinese input method can realize intelligent pinyin error correction, which will greatly optimize the user's daily input experience and increase the smoothness of the user's pinyin input. [0003] In the prior art, the error correction of the pinyin string first requires the syllable operation of the pinyin string. The existing pinyin syllable model uses the forward maximum matching model and the reverse maximum matching model to realize the syllable division. However, none of these methods can effectively deal with the situation that there are errors in the input pinyin string itself, or there may alread...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/232G06F3/023
CPCG06F3/0237
Inventor 沈哲吉
Owner BEIJING THUNISOFT INFORMATION TECH
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