C92-4173 similar to the basic method of automatic segmentation of Chinese words . This method
C94-2209 procedures are : First , complete automatic segmentation by using a segmentation dictionary
C02-1143 only lexical collocations from automatic segmentation was sufficient to produce close
C00-2095 kind of identification is the automatic segmentation that takes place at the entry
C96-1051 statistical evaluation of manual and automatic segmentation discrepancies are given . We
C96-1051 discrepancies between manual and automatic segmentation are considerable . Most of the
C94-2209 . So the development of these automatic segmentation systems is restricted . Grammatical
C04-1179 much better than 71.7 % of our automatic segmentation . 5 n-best Lists and Re-ranking
C80-1050 Figure 6 shows the results of automatic segmentation and automatic transliteration
C94-2157 units for the system . Methods for automatic segmentation , and for the choice of diphone
C94-1088 through an auxiliary modttle of automatic segmentation . corpora as they are , we "
C92-4173 implementation , respectively . Automatic segmentation of Chinese words is presented
C94-1088 and the other which incorporates automatic segmentation before collocation . The two
C96-1051 population for both manual and automatic segmentation are presented in Table 2 . The
C96-1051 statistical evaluation of manual and automatic segmentation discrepancies is performed so
C92-4173 perhaps even frustrate attempts at automatic segmentation of strings into meaningful units
D09-1133 ( 2004 ) , to obtain the best automatic segmentation result for a given sentence ,
C94-1088 not require the preprocessing of automatic segmentation but is awe to allow both lexical
C94-2157 order to cheek the accuracy of automatic segmentation . Beyond the scope of this paper
C02-1148 motivated by recent advances in automatic segmentation of Chinese text ( Nie et al ,
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