E14-1018 using the character-based Chinese word segmentation task . Figure 4 shows the effect of
E14-1018 using the character-based Chinese word segmentation task . Figure 3 shows the effect of
D14-1186 ) applied the HDP model on the word segmentation task . In essence , Goldwa - ter 's
D13-1031 is not limited to the Chinese word segmentation task . It can be easily extended to
D13-1031 are proved useful in the Chinese word segmentation task . We define Static Statistical
D12-1038 works have been devoted to the word segmentation task . For example , the introduction
E14-1018 the character - based Chinese word segmentation task on the test set of the CTB5 corpus
E09-1100 representa - tion , we first show how a word segmentation task can be transformed into a dependency
D15-1141 2008 ) . Formally , in Chinese word segmentation task , we have a character dictionary
D13-1031 the performance on the Chinese word segmentation task . We further conducted experiments
D10-1081 efficient technique suitable for the word segmentation task . 3.2 Obtaining an initial hypothesis
N10-1081 report experimental results on a word segmentation task , showing that variational inference
E14-1018 on CTB5 corpus as the Chinese word segmentation task . F-measure for joint Chinese
D13-1031 method and not limited to the word segmentation task . 1 Introduction Chinese is a
D10-1019 on shallow parsing and Chinese word segmentation tasks demonstrate our technique . 6
D15-1141 Pei et al. , 2014 ) on Chinese word segmentation task with random initialized character
E09-1100 parsing scheme for traditional word segmentation task and reports its evaluation results
E09-1100 step . Firstly , we show that word segmentation task can be effectively re-formularized
C04-1067 boundaries for any sentences , and the word segmentation task can be reformulated as the POC-tagging
D13-1031 static statistics in the Chinese word segmentation task , e.g. Feng et al. ( 2004 ) ;
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