(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 …

We describe a new approach to SMT adaptation that weights out-of-domain phrase pairs
according to their relevance to the target domain, determined by both how similar to it they …

Abstract Domain adaptation has recently gained interest in statistical machine translation to
cope with the performance drop observed when testing conditions deviate from training …

We show that unseen words account for a large part of the translation error when moving to
new domains. Using an extension of a recent approach to mining translations from …

This paper evaluates the translation quality of machine translation systems for 8 language
pairs: translating French, German, Spanish, and Czech to English and back. We carried out …

Statistical machine translation systems are usually trained on large amounts of bilingual text
and monolingual text. In this paper, we propose a method to perform domain adaptation for …

Most of the freely available parallel data to train the translation model of a statistical machine
translation system comes from very specific sources (European parliament, United Nations …

In statistical machine translation (SMT), it is known that performance declines when the
training data is in a different domain from the test data. Nevertheless, it is frequently …

We report results from a domain adaptation task for statistical machine translation (SMT)
using cache-based adaptive language and translation models. We apply an exponential …

Conventional speech translation systems wait until the end of the input sentence before
starting translation, causing a large delay in the translation process. Methods have been …