Improved Word Segmentation System for Chinese Criminal Judgment Documents
Applied Artificial Intelligence, 2023 In this paper, a system for automatic word segmentation of Chinese criminal judgment documents is proposed. The system uses a hybrid model composed of fine-tuned BERT (Bidirectional Encoder Representations from Transformers), BiLSTM (Bidirectional Long ...
Chi Zhang
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Visual Word Segmentation Cues in Tibetan Reading: Comparing Dictionary-Based and Psychological Word Segmentation [PDF]
Journal of Eye Movement ResearchThis study utilized eye-tracking technology to explore the role of visual word segmentation cues in Tibetan reading, with a particular focus on the effects of dictionary-based and psychological word segmentation on reading and lexical recognition.
Dingyi Niu +4 more
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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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The Effect of Visual Word Segmentation Cues in Tibetan Reading [PDF]
Brain SciencesBackground/Objectives: In languages with within-word segmentation cues, the removal or replacement of these cues in a text hinders reading and lexical recognition, and adversely affects saccade target selection during reading.
Danhui Wang +3 more
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Adversarial Multi-Criteria Learning for Chinese Word Segmentation [PDF]
, 2017 Different linguistic perspectives causes many diverse segmentation criteria for Chinese word segmentation (CWS). Most existing methods focus on improve the performance for each single criterion.
Chen, Xinchi +3 more
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Comparing neural- and N-gram-based language models for word segmentation. [PDF]
J Assoc Inf Sci Technol, 2019 Word segmentation is the task of inserting or deleting word boundary characters in order to separate character sequences that correspond to words in some language.
Doval Y, Gómez-Rodríguez C.
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The effect of morpheme positional frequency on tibetan novel word acquisition: An eye-tracking study. [PDF]
PLoS ONEWord segmentation is crucial for reading in unspaced languages like Tibetan, where readers rely on high-level cues like morpheme positional frequency (the statistical likelihood of a morpheme appearing at the beginning or end of a word).
Dingyi Niu, Jing Tian
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Semantic Segmentation Method of Tibetan Sentences [PDF]
Jisuanji gongcheng, 2020 Sentences are characters or words that are combined according to grammatical rules.Semantic segmentation is a decoding problem of sentence combination rules,that is,parsing the meaning of sentences.If the semantic analysis is performed directly after the
ROU Te, SE Chajia, CAI Rangjia
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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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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
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