C92-4195 architecture of the morphological segmentation system . The interpreter for the segmentation
C92-4195 incorporated in our current morph segmentation system . The overall architecture of
C02-1033 , 2000 ) for comparing several segmentation systems . This corpus is made up of 700
C04-1067 method . Character Tagging A word segmentation system using the character tagging method
C04-1067 2003 ) . Maximum Matching A word segmentation system using the well-known maximum
C04-1067 methods . Many practical word segmentation systems add candidates of unknown words
C96-1039 single characters by our word segmentation system . From the viewpoint of personal
C96-1039 It is just segmented by a word segmentation system without checking manually . Although
D08-1111 considered as the best Chinese word segmentation systems . We chose ICTCLAS as the comparison
C04-1081 fortunately , building a Chinese word segmentation system is complicated by the fact that
C94-2209 development of these automatic segmentation systems is restricted . Grammatical catcgory
C04-1081 runs . S01 is one of the best segmentation systems in mainland China ( Zhang et
A00-1027 methodology is promising and the segmentation system would be helpful for the application
D11-1089 typically , using existent word segmentation systems . This is , however , not appropriate
A92-1020 % of errors made by a typical segmentation system . Moreover , proper names are
D11-1089 are difficult for the existing segmentation systems to deal with . See ( Nakazawa
C94-2209 -RSB- ) . Many automatic word segmentation systems adopting the above models have
C96-1039 corpus . It is segmented by a word segmentation system and is checked manually . In
A92-1020 errors produced by our previous segmentation system . About 98 % of part-of-speeches
D11-1089 Although we can use existing word segmentation systems for splitting katakana noun compounds
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