Sentence noise design method, equipment and computer storage medium
A design method and noise technology, applied in computing, neural learning methods, instruments, etc., can solve the problem of low fluency of noisy text
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no. 1 example
[0071] refer to figure 2 , figure 2 For the first embodiment of the sentence noise design method of the present invention, the method includes:
[0072] Step S110: Preprocessing the original text to generate the first noise text.
[0073] The original text may be a text in a preloaded corpus, or a text in any corpus, which is not limited here.
[0074] Preprocessing may be a preparation process performed before the original text is generated into the first noise text.
[0075] The first noise text may be a text formed by adding noise words to the original text, and the first noise text also provides position information of the noise words in the first noise text for subsequent fluency processing.
[0076] Step S120: Calculate the sentence structure similarity between the first noise text and the text in the preloaded corpus based on the adaptive sliding window, and perform fluency optimization processing on the first noise text by using the sentence structure similarity, ...
no. 2 example
[0155] refer to Figure 11 , Figure 11 For the second embodiment of the sentence noise design method of the present invention, the method also includes:
[0156] Step S210: Preprocessing the original text to generate the first noise text.
[0157] Step S220: Execute fluency optimization processing on the first noise text to obtain a second noise text whose fluency meets a preset condition.
[0158] Step S230: Use the deep learning model to predict the second noise text, and if the predicted value is different from the prediction value of the original text using the deep learning model, take the second noise text as the target result.
[0159] Step S240: If the predicted value is the same as the predicted value of the original text using the deep learning model, re-execute the generating process of the first noise text.
[0160] The predicted value is the same as the predicted value of the original text using the deep learning model, indicating that the fluency optimization...
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