Multilingual Natural Language Processing Applications is the first comprehensive single-
source guide to building robust and accurate multilingual NLP systems. Edited by two …

When trained on very large parallel corpora, the phrase table component of a machine
translation system grows to consume vast computational resources. In this paper, we …

In the last years, researchers conducted several studies to evaluate the machine translation
quality based on the relationship between word alignments and phrase table. However …

We describe an approach for filtering phrase tables in a Statistical Machine Translation
system, which relies on a statistical independence measure called Noise, first introduced in …

This book reviews ways to improve statistical machine speech translation between Polish
and English. Research has been conducted mostly on dictionary-based, rule-based, and …

We present pruning strategies for translation models that are based on estimating the
relevance of phrase pairs. We apply the overall translation system to a set of data and collect …

We present a novel translation quality informed procedure for both extraction and scoring of
phrase pairs in PBSMT systems. We reformulate the extraction problem in the supervised …

Statistical machine translation systems have greatly improved in the last years. However,
this boost in performance usually comes at a high computational cost, yielding systems that …

Until recently, the application of discriminative training to log linear-based statistical machine
translation has been limited to tuning the weights of a limited number of features or training …

In this paper we address the problem of automatic acquisition of a human-oriented
translation dictionary from a large-scale parallel corpus. The initial translation equivalents …