We describe a novel approach to machine translation that combines the strengths of the two leading corpus-based approaches: Phrasal SMT and EBMT. We use a syntactically informed d...
Syntax based reordering has been shown to be an effective way of handling word order differences between source and target languages in Statistical Machine Translation (SMT) syste...
Karthik Visweswariah, Jiri Navratil, Jeffrey S. So...
We describe an approach to training a statistical parser from a bracketed corpus, and demonstrate its use in a software testing application that translates English speci cations i...
In this paper, we propose a hierarchical phrase alignment method that aims to acquire translation knowledge. Previous methods utilize the correspondence of sub-trees between bilin...
Integer Linear Programming has recently been used for decoding in a number of probabilistic models in order to enforce global constraints. However, in certain applications, such a...