Long sentences with complex syntax and long-distance dependencies pose difficulties for
machine translation systems. Short sentences, on the other hand, are usually easier to …

We describe a class of translation model in which a set of input variants encoded as a
context-free forest is translated using a finitestate translation model. The forest structure of …

This article describes the use of pushdown automata (PDA) in the context of statistical
machine translation and alignment under a synchronous context-free grammar. We use …

We describe a simple strategy to achieve translation performance improvements by
combining output from identical statistical machine translation systems trained on alternative …

Alignment models are used in statistical machine translation to determine translational
correspondences between the words and phrases in a sentence in one language with the …

Abstract Systems that process natural language must cope with and resolve ambiguity. In
this dissertation, a model of language processing is advocated in which multiple inputs and …

This paper analyzes the impacts of machine translation and speech synthesis on speech-to-
speech translation systems. A typical speech-to-speech translation system consists of three …

This paper provides an analysis of the impacts of machine translation and speech synthesis
on speech-to-speech translation systems. The speech-to-speech translation system consists …

We report an empirical study of n-gram posterior probability confidence measures for
statistical machine translation (SMT). We first describe an efficient and practical algorithm for …

We describe a synchronous parsing algorithm that is based on two successive monolingual
parses of an input sentence pair. Although the worst-case complexity of this algorithm is and …