Paper: Phylogenetic Grammar Induction

ACL ID P10-1131
Title Phylogenetic Grammar Induction
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2010
Authors

We present an approach to multilin- gual grammar induction that exploits a phylogeny-structured model of parameter drift. Our method does not require any translated texts or token-level alignments. Instead, the phylogenetic prior couples languages at a parameter level. Joint in- duction in the multilingual model substan- tially outperforms independent learning, with larger gains both from more articu- lated phylogenies and as well as from in- creasing numbers of languages. Across eight languages, the multilingual approach gives error reductions over the standard monolingual DMV averaging 21.1% and reaching as high as 39%.