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
doaj +2 more sources
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
doaj +3 more sources
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
doaj +2 more sources
Word frequency modulates the use of initial and final morpheme positional probabilities during Chinese sentence reading in L2 learners: an eye-tracking study [PDF]
Frontiers in PsychologyIntroductionChinese text does not mark word boundaries with spaces, requiring readers to rely on statistical cues within character strings for word segmentation and lexical recognition.
Tingli Song, Tingli Song, Ting Zhang
doaj +2 more sources
Do Chinese readers follow the national standard rules for word segmentation during reading? [PDF]
PLoS ONE, 2013 We conducted a preliminary study to examine whether Chinese readers' spontaneous word segmentation processing is consistent with the national standard rules of word segmentation based on the Contemporary Chinese language word segmentation specification ...
Ping-Ping Liu +3 more
doaj +2 more sources
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
doaj +3 more sources
Hybrid Feature Fusion Learning Towards Chinese Chemical Literature Word Segmentation
IEEE Access, 2021 The rapid increase in the number of chemical science literature has brought challenges to researchers in search and data analysis. For many chemical scientific literature, extracting information from text and using knowledge is the focus of research ...
Xiang Li +4 more
doaj +1 more source
Short Text Matching Model Combined with Multi-Granularity Information and External Knowledge [PDF]
Jisuanji gongcheng, 2022 Chinese short text semantic matching generally uses word sequences, rather than character sequences, to achieve higher semantic-matching performance.However, Chinese word segmentation may be inaccurate or ambiguous, and word segmentation errors can ...
LIANG Dengyu, LIU Daming
doaj +1 more source
Segmenting Chinese Texts into Words for Semantic Network Analysis [PDF]
Journal of Contemporary Eastern Asia, 2017 Unlike most languages, written Chinese has no spaces between words. Word segmentation must be performed before semantic network analysis can be conducted.
James A. Danowski
doaj +1 more source
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
doaj +1 more source