Paper: Syntax-based Statistical Machine Translation using Tree Automata and Tree Transducers

ACL ID P11-3007
Title Syntax-based Statistical Machine Translation using Tree Automata and Tree Transducers
Venue Annual Meeting of the Association of Computational Linguistics
Session Student Session
Year 2011
Authors

In this paper I present a Master’s thesis proposal in syntax-based Statistical Machine Translation. I propose to build discrimina- tive SMT models using both tree-to-string and tree-to-tree approaches. Translation and language models will be represented mainly through the use of Tree Automata and Tree Transducers. These formalisms have im- portant representational properties that makes them well-suited for syntax modeling. I also present an experiment plan to evaluate these models through the use of a parallel corpus written in English and Brazilian Portuguese.