Conference Proceedings
Syntax-based Statistical Machine Translation using Tree Automata and Tree Transducers
DE Beck
Acl Hlt 2011 49th Annual Meeting of the Association for Computational Linguistics Human Language Technologies Proceedings of Student Session | Published : 2011
Abstract
In this paper I present a Master's thesis proposal in syntax-based Statistical Machine Translation. I propose to build discriminative 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 important 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. © 2011 Association for Computational Linguistics.