Paper: Morphological Analysis Can Improve a CCG Parser for English

ACL ID C10-2051
Title Morphological Analysis Can Improve a CCG Parser for English
Venue International Conference on Computational Linguistics
Session Poster Session
Year 2010
Authors

Because English is a low morphology lan- guage, current statistical parsers tend to ignore morphology and accept some level of redundancy. This paper investigates how costly such redundancy is for a lex- icalised grammar such as CCG. We use morphological analysis to split verb inflectional suffixes into separate to- kens, so that they can receive their own lexical categories. We find that this im- proves accuracy when the splits are based on correct POS tags, but that errors in gold standard or automatically assigned POS tags are costly for the system. This shows that the parser can benefit from morpho- logical analysis, so long as the analysis is correct.