Results 1 to 10 of about 62,130 (288)
A hybrid Chinese word segmentation model for quality management-related texts based on transfer learning. [PDF]
PLoS ONE, 2022 Text information mining is a key step to data-driven automatic/semi-automatic quality management (QM). For Chinese texts, a word segmentation algorithm is necessary for pre-processing since there are no explicit marks to define word boundaries.
Peihan Wen, Linhan Feng, Tian Zhang
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CWSXLNet: A Sentiment Analysis Model Based on Chinese Word Segmentation Information Enhancement
Applied Sciences, 2023 This paper proposed a method for improving the XLNet model to address the shortcomings of segmentation algorithm for processing Chinese language, such as long sub-word lengths, long word lists and incomplete word list coverage.
Shiqian Guo +4 more
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A corpus of Chinese word segmentation agreement. [PDF]
Behav Res MethodsAbstract The absence of explicit word boundaries is a distinctive characteristic of Chinese script, setting it apart from most alphabetic scripts, leading to word boundary disagreement among readers. Previous studies have examined how this feature may influence reading performance. However, further investigations are required to generate more
Tsang YK, Yan M, Pan J, Chan MYK.
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Annals of GIS, 2023 Unlike alphabet-based languages such as English, the Chinese language has no specifying word boundaries. Segmentation, particularly for the Chinese language, is a fundamental step towards Chinese text processing, information retrieval, and knowledge ...
Qinjun Qiu, Zhong Xie, Kai Ma, Miao Tian
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The Influence of Contextual Predictability on Word Segmentation in Chinese Reading: An Eye-Tracking Study [PDF]
Behavioral SciencesWord segmentation is a fundamental component of lexical processing, and Chinese reading—lacking inter-word spacing—requires readers to identify word boundaries based on prior experience.
Mengchuan Song +3 more
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A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing [PDF]
Transactions of the Association for Computational Linguistics, 2020 Chinese word segmentation and dependency parsing are two fundamental tasks for Chinese natural language processing. The dependency parsing is defined at the word-level.
Yan, Hang, Qiu, Xipeng, Huang, Xuanjing
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Capsules Based Chinese Word Segmentation for Ancient Chinese Medical Books
IEEE Access, 2018 Neural network models are popularly used in Chinese word segmentation task. The capsule architecture is proposed recently which has solved some defects of convolutional neural network. In this paper, we first introduce the capsule architecture to Chinese
Si Li +5 more
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Punctuation as Implicit Annotations for Chinese Word Segmentation [PDF]
Computational Linguistics, 2021 We present a Chinese word segmentation model learned from punctuation marks which are perfect word delimiters. The learning is aided by a manually segmented corpus. Our method is considerably more effective than previous methods in unknown word recognition. This is a step toward addressing one of the toughest problems in Chinese word segmentation.
Zhongguo Li, Maosong Sun
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Multi-Task Joint Learning Model for Chinese Word Segmentation and Syndrome Differentiation in Traditional Chinese Medicine. [PDF]
Int J Environ Res Public Health, 2022 Evidence-based treatment is the basis of traditional Chinese medicine (TCM), and the accurate differentiation of syndromes is important for treatment in this context. The automatic differentiation of syndromes of unstructured medical records requires two
Hu C, Zhang S, Gu T, Yan Z, Jiang J.
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A Data-Driven Model for Automated Chinese Word Segmentation and POS Tagging. [PDF]
Comput Intell Neurosci, 2022 Chinese natural language processing tasks often require the solution of Chinese word segmentation and POS tagging problems. Traditional Chinese word segmentation and POS tagging methods mainly use simple matching algorithms based on lexicons and rules ...
Xu Q, Wang Z.
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