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• W2002101766 abstract "Chinese word segmentation (CWS) can be transformed into word-position-based approaches by conditional random field (CRF). It improved the performance of Chinese word segmentation greatly which makes it in wide use recently. When training on corpus with CRF, the size of feature window is the key to the training effect. To analyze the effect range of context, string sequence tagging segmentations are performed on Bakeoff2005 with toolkit CRF++0.53 and the results are: (1) contribution of below is greater than above, (2) size of feature window influencing the segment performance is no larger than 5, the proper size is four or five." @default.
• W2002101766 created "2016-06-24" @default.
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• W2002101766 creator A5080420296 @default.
• W2002101766 date "2012-11-01" @default.
• W2002101766 modified "2023-09-25" @default.
• W2002101766 title "Analysis on Effect Range of Context in Chinese Word Segmentation Based Word-Position Tagging" @default.
• W2002101766 cites W2147880316 @default.
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• W2002101766 doi "https://doi.org/10.1109/mines.2012.76" @default.
• W2002101766 hasPublicationYear "2012" @default.
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