Associated words recognition in Chinese compound sentences based on deep learning

Meiyi Zhang; Shufang Zhang; Xin Zhang

doi:10.1117/12.2659968

30 November 2022 Associated words recognition in Chinese compound sentences based on deep learning

Meiyi Zhang, Shufang Zhang, Xin Zhang

Proceedings Volume 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022); 1245623 (2022) https://doi.org/10.1117/12.2659968
Event: International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 2022, Qingdao, China

Abstract

This paper deals with the problem of recognizing associated words in compound sentences. As the conventional methods rely on manually extracted utterance features, in this paper, an associated words recognition method based on neural networks is proposed. The proposed method fuses the features extracted from the compound sentence corpus into word vectors, which are fed into the constructed deep neural network model for training. To analyze the compound sentences in the modern Chinese compound sentence corpus, we extract four common utterance features to establish an utterance feature base. Then, the extract features from the utterance feature base are combined into a new feature, which possesses high discriminative ability. Based on the utterance feature base, a training set and test set is constructed for test the performance of the proposed method. Experimental results show that the proposed method both improves the efficiency of recognition and achieves a high correct rate with respect to the traditional method.

Citation Download Citation

Meiyi Zhang, Shufang Zhang, and Xin Zhang "Associated words recognition in Chinese compound sentences based on deep learning", Proc. SPIE 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 1245623 (30 November 2022); https://doi.org/10.1117/12.2659968

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