The performance of machine translation systems varies greatly depending on the source and target languages involved. Determining the contribution of different characteristics of l...
In this paper we will present a maximum entropy filter for the translation rules of a statistical machine translation system based on tree transducers. This filter can be success...
Cross-language document summarization is a task of producing a summary in one language for a document set in a different language. Existing methods simply use machine translation ...
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to learn the grammatical rules and context dependent changes using ...
This paper extends the training and tuning regime for phrase-based statistical machine translation to obtain fluent translations into morphologically complex languages (we build ...