D13-1031 of the sixth SIGHAN Workshop on Chinese Language Processing . It is the only NER corpus using
D11-1090 is a necessary initial step for Chinese language processing . Previous research shows that
C96-2184 computational terms , no serious Chinese language processing can be done without segmenta
C82-2059 understanding . Conventionally Chinese Language Processing is involved in the area of Computer
D13-1062 fundamental steps for more advanced Chinese language processing tasks . Recently , it has attracted
I05-2015 and tagset are widely used in Chinese language processing , we also took the criteria as
I05-3007 texts . This poses a challenge in Chinese language processing . The Chinese Sketch Engine inserted
I05-2010 existing Chinese input systems or Chinese language processing of typical speech recognition
I05-4008 Computational Linguistics and Chinese Language Processing , Taiwan , in fall of 2005 .
D12-1092 , causing a lot of troubles in Chinese language processing . We ensure that compositional
D09-1153 analyzing is very important for Chinese language processing . The rule-based algorithm is
D12-1092 is the smallest piece in most Chinese language processing applications . In this section
C82-2059 There are . already a variety of Chinese Language Processing Systems commercially available
D14-1092 a crucial first step for many Chinese language processing tasks such as syntactic parsing
I05-3002 conversion is the main task of Chinese language processing in typical Chinese speech recognition
D15-1270 and NE tagging are done using a Chinese language processing toolkit ( Che et al. , 2010 )
D12-1126 task of the Fourth International Chinese Language Processing Bakeoff ( SIGHAN Bakeoff 2008
C02-1145 were able to train new automatic Chinese language processing ( CLP ) tools , which crucially
C96-1039 sentences is indispensable in Chinese language processing ( Chen , 1990 ; Chen , 1994 )
D15-1148 translation , text simplification and Chinese language processing but it is usually addressed in
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