Results 11 to 20 of about 62,130 (288)
The Impact of Color Cues on Word Segmentation by L2 Chinese Readers: Evidence from Eye Movements [PDF]
Behavioral SciencesChinese lacks explicit word boundary markers, creating frequent temporary segmental ambiguities where character sequences permit multiple plausible lexical analyses. Skilled native (L1) Chinese readers resolve these ambiguities efficiently.
Lin Li +3 more
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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
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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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Adaptive Chinese word segmentation [PDF]
Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics - ACL '04, 2004 This paper presents a Chinese word segmentation system which can adapt to different domains and standards. We first present a statistical framework where domain-specific words are identified in a unified approach to word segmentation based on linear models. We explore several features and describe how to create training data by sampling.
Jianfeng Gao +6 more
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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
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Systran's Chinese word segmentation [PDF]
Proceedings of the second SIGHAN workshop on Chinese language processing -, 2003 SYSTRAN's Chinese word segmentation is one important component of its Chinese-English machine translation system. The Chinese word segmentation module uses a rule-based approach, based on a large dictionary and fine-grained linguistic rules. It works on general-purpose texts from different Chinese-speaking regions, with comparable performance.
Jin Yang, Jean Senellart, Rémi Zajac
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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
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Combining segmenter and chunker for Chinese word segmentation [PDF]
Proceedings of the second SIGHAN workshop on Chinese language processing -, 2003 Our proposed method is to use a Hidden Markov Model-based word segmenter and a Support Vector Machine-based chunker for Chinese word segmentation. Firstly, input sentences are analyzed by the Hidden Markov Model-based word segmenter. The word segmenter produces n-best word candidates together with some class information and confidence measures ...
Masayuki Asahara +3 more
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An Algorithm Rapidly Segmenting Chinese Sentences into Individual Words [PDF]
MATEC Web of Conferences, 2019 This paper proposes an improved Trie tree structure. The tree node records the position information of the characters participating in the word formation, and the child node uses the hash search mechanism.
Xiong Zhibin
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Combining classifiers for Chinese word segmentation [PDF]
Proceeding of the first SIGHAN workshop on Chinese language processing -, 2002 In this paper we report results of a supervised machine-learning approach to Chinese word segmentation. First, a maximum entropy tagger is trained on manually annotated data to automatically labels the characters with tags that indicate the position of character within a word.
Nianwen Xue, Susan P. Converse
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