Semi-automatically Developing Chinese HPSG Grammar from the Penn Chinese Treebank for Deep Parsing

In this paper, we introduce our recent work on Chinese HPSG grammar development through treebank conversion. By manually defining grammatical constraints and annotation rules, we convert the bracketing trees in the Penn Chinese Treebank (CTB) to be an HPSG treebank. Then, a large-scale lexicon is automatically extracted from the HPSG treebank. Experimental results on the CTB 6.0 show that a HPSG lexicon was successfully extracted with 97.24% accuracy; furthermore, the obtained lexicon achieved 98.51% lexical coverage and 76.51% sentential coverage for unseen text, which are comparable to the state-of-the-art works for English.