Tagging of the Idiom in the Corpus
Na An · Zhongwen xinxi xuebao · 2004
Idiomaticity is a common phenomenon in natural languages. This paper analyses some known means of tagging the idiom in Chinese corpus. These tagging methods are problematic for the further syntactic tagging and parsing of corpus. To find a suitable solution for application in natural language processing, the authors introduce a new concept expression, which consist of idioms, customary usages, two part allegorical sayings, terms and abbreviations. These fixed expressions have the same grammatical function as common words, thus we can tag them according to their function in text and give suitable vocabulary category of fixed expressions. This is called two level tagging method. The proposed solution is useful to build a parsed corpus as knowledge source of NLP.