(57) ABSTRACT A system and method for estimating parameters for features of a translation
scoring function for scoring candidate trans lations in a target domain are provided. Given a …

For the state‐of‐the‐art in Machine Translation (MT) to advance, we contend that Statistical
MT (SMT) practitioners will have to collaborate with linguists and translators. This has not …

Using machine translation output as a starting point for human translation has become an
increasingly common application of MT. We propose and evaluate three computationally …

Typical statistical machine translation systems are trained with static parallel corpora. Here
we account for scenarios with a continuous incoming stream of parallel training data. Such …

We introduce a discriminatively trained, globally normalized, log-linear variant of the lexical
translation models proposed by Brown et al.(1993). In our model, arbitrary, nonindependent …

We present a discriminative learning method to improve the consistency of translations in
phrase-based Statistical Machine Translation (SMT) systems. Our method is inspired by …

A principal weakness of conventional (ie, non-hierarchical) phrase-based statistical machine
translation is that it can only exploit continuous phrases. In this paper, we extend phrase …

Questions are asked and answered every day. Question answering (QA) technology aims to
deliver the same facility online. It goes further than the more familiar search based on …

While machine translation is sometimes sufficient for conveying information across language
barriers, many scenarios still require precise human-quality translation that MT is currently …

We describe refinements to hierarchical translation search procedures intended to reduce
both search errors and memory usage through modifications to hypothesis expansion in …