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Chinese word segmentation model based on BI_GRU_AT_HN_CRF_6
Proceedings of the 3rd International Conference on Intelligent Information Processing, 2018Chinese word segmentation is an indispensable step in natural language processing, and it is also the most important step. At present, the use of recurrent neural network to Chinese word segmentation model has become a new trend. The researchers proposed various models based on the LSTM network model of long and short memory and the word segmentation ...
Ge Yunsheng, Kong Jie
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Chinese Word Segmentation with Character Abstraction
2013Chinese word segmentation is an important and necessary problem to analyze Chinese texts. In this paper, we focus on the primary challenges in Chinese word segmentation: low accuracy of out-of-vocabulary word. To resolve this difficult problems, we group the “similar” characters to generate more abstract representation.
Le Tian, Xipeng Qiu, Xuanjing Huang
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Chinese Word Segmentation based on Word boundary Classificatioin
2022 7th International Conference on Signal and Image Processing (ICSIP), 2022Lu Li +5 more
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Study on Chinese Word Segmentation Algorithm
Applied Mechanics and Materials, 2014Today's very popular search engine technology, which is conducive to further analysis and full-text retrieval technology for Chinese word segmentation technology, and Chinese word segmentation is an important technology of Chinese information, the quality of Chinese word segmentation will have a direct impact on the efficiency of Chinese information ...
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Statistics-based Chinese word segmentation and new word detection
2014A Chinese sentence is typically written as a sequence of characters. However, a word, a logical semantic and syntactic unit, is often used for language model, information retrieval and information query. Thus, a segmentation algorithm is necessary to map the sequence of characters into a sequence of words. One of the simplest methods is forward maximum
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