Automated conversion has allowed the development of wide-coverage corpora for a variety of grammar formalisms without the expense of manual annotation. Analysing new languages also tests formalisms, exposing their strengths and weaknesses. We present Chinese CCGbank, a 760,000 word corpus annotated with Combinatory Categorial Grammar (CCG) derivations, induced automatically from the Penn Chinese Treebank (PCTB). We design parsimonious CCG analyses for a range of Chinese syntactic constructions, and transform the PCTB trees to produce them. Our process yields a corpus of 27,759 derivations, covering 98.1% of the PCTB.
Moreover, REF built a Chinese CCGbank, which was also automatically induced from the Penn Chinese Treebank.
Chinese CCGbank: extracting CCG derivations from the Penn Chinese Treebank
COLING
Computer Science