期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2012
卷号：2012
出版社：ACL Anthology
摘要：We investigate the potential of Tree Substitution
Grammars as a source of features for native
language detection, the task of inferring
an author¡¯s native language from text in a different
language. We compare two state of the
art methods for Tree Substitution Grammar
induction and show that features from both
methods outperform previous state of the art
results at native language detection. Furthermore,
we contrast these two induction algorithms
and show that the Bayesian approach
produces superior classification results with a
smaller feature set.
