C00-2159 corpus is an important resource for corpus-based approaches to CLIR . These approaches use
A00-2003 al. ( 1999 ) have described a corpus-based approach to statistical NP generation
A00-2003 which ones are important . Work on corpus-based approaches to anaphora resolution is more
C96-2190 Recent work has been dependent on corpus-based approaches to deal with this problem . However
C96-1049 Coverage : The project adopted a corpus-based approach . Completeness : All modules
C96-2190 with this problem . However , corpus-based approaches suffer from the sparse-data problem
D10-1042 into transliteration-based and corpus-based approaches . Our approach leveraging both
C02-1162 Languages : A First Step towards a Corpus-based Approach to Automatic Ontology Alignment
D09-1000 Group for linguistic data and corpus-based approaches to natural language processing
C92-4211 number of rules further . So using corpus-based approach , i.e. extracting linguistic
C92-4211 it is easy to achieve this with corpus-based approach like our work . The more refined
C96-2190 Unlike traditional pro- posals , corpus-based approaches need not to prepare a large amount
D10-1042 phonetic similarity and ( b ) a corpus-based approach exploiting bilingual co-occurrences
D10-1042 approach is not effective . 2.2 Corpus-based Approaches Corpus-based approach can mine
C96-1093 analysis . This paper presents a corpus-based approach which scans a corpus with a set
A00-2009 Abstract This paper presents a corpus-based approach to word sense disambiguation
D08-1058 translated from English lexicon , and a corpus-based approach based on Romanian subjectivity-annotated
C90-3101 Comparison with other research The corpus-based approach to dictionary acquisition , which
C90-3101 conventional gramm ~ rules , this corpus-based approach takes advantage of the fact that
C96-2213 knowledgebased techniques with a corpus-based approach . 1 . Porting Bottleneck The
hide detail