Knowledge-rich approach to automatic grammatical information acquisition: Enriching Chinese Sketch Engine with a lexical Grammar

This paper discusses the implementation of a knowledge-rich approach to automatic acquisition of grammatical information. Our study is based on Word Sketch Engine (Kilgarriff and Tudgell 2002). The original claims of WSE are two folded: That linguistic generalizations can be automatically extracted from a corpus with simple collocation information provided that the corpus is large enough; and that such a methodology is easily adaptable for a new language. Our work on Chinese Sketch Engine attests to the claim the WSE is adaptable for a new language. More critically, we show that the quality of grammatical information provided has a directly bearing on the result of grammatical information acquisition. We show that when provided with a knowledge rich lexical grammar, both the quantity and quality of the extracted knowledge improves substantially over the results with simple PS rules.