Chinese text difficulty assessment method based on siamese network and multi-core LEAM architecture

Abstract

The invention discloses a Chinese text difficulty assessment method based on a siamese network and a multi-core LEAM architecture. The method comprises the following steps: determining a classification basis and concluding different labes; correctly dividing different types of article data sets according to the classification basis; adopting an LEAM structure to allocate the weight of the action by using the distance between the spatial domain distribution of all the labes and the Embedded code of each word; embedding the label into an Embedded space of the Chinese text to obtain a multi-dimensional vector representation of the label; for each category, manually selecting an article which can best represent the category, and encoding the article to serve as an input of the Siamese network;obtaining a difference value between the obtained text code and a reference, and then sending the difference value to softmax classification; and finally obtaining a classification result according to the similarity with different types of texts. The label of the text and the words in the text are subjected to Embedded together, and the label is embedded into the space for multiple times at the same time, so that the boundaries of different labels are not simply coupled together, the problem of underfitting is greatly reduced, and the classification accuracy is improved.

Description

Technical field [0001] The invention belongs to the field of education informatization, and specifically relates to a method for evaluating the difficulty of Chinese text based on a siamese network and a multi-core LEAM architecture. Background technique [0002] With China’s economic take-off, more and more foreign friends come to live in China, making more people have the need to learn Chinese, not only Chinese primary and middle school students, but also more foreign friends who love Chinese. Improve your Chinese level. Learning Chinese texts is one of the most effective ways, but learning Chinese texts of a certain difficulty requires Chinese learners to have a certain level of cultural literacy. If Chinese learners do not meet the requirements of the corresponding text for their Chinese skills, they will get half the effort and will be greatly improved. Combat the interests of Chinese learners. And when cultivating the writing ability of Chinese learners, various styles sh...

AI Technical Summary

Problems solved by technology

[0007] For at least one of the above deficiencies or improvement needs of the prior art, due to the complexity of the text difficulty assessment problem for Chinese learners, when facing the different needs of Chinese learners, the classification standards will change accordingly. For this task, the present invention proposes a new model based on the Siamese network and the improved LEAM architecture to handle the text difficulty assessment task

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