Corpus-based research has become widely accepted as a factor in improving the
performance of machine translation systems, and corpus-based terminology compilation is …

Statistical machine translation (SMT) treats the translation of natural language as a machine
learning problem. By examining many samples of human-produced translation, SMT …

We describe a series o, f five statistical models o, f the translation process and give
algorithms, for estimating the parameters o, f these models given a set o, f pairs o, f …

There has been a recent trend back towards the statistical analysis of text. This trend has
resulted in a number of researchers doing good work in information retrieval and natural …

We propose a new probabilistic approach to information retrieval based upon the ideas and
methods of statistical machine translation. The central ingredient in this approach is a …

Parallel corpora have become an essential resource for work in multilingual natural
language processing. In this article, we report on our work using the STRAND system for …

In recent years, there is a phenomenal growth in the amount of online text material available
from the greatest information repository known as the World Wide Web. Various traditional …

We propose a semi-automatic tool, termight, that helps professional translators and
terminologists identify technical terms and their translations. The tool makes use of part-of …

Parallel texts (bitexts) have properties that distinguish them from other kinds of parallel data.
First, most words translate to only one other word. Second, bitext correspondence is typically …

The quality of a statistical machine translation (SMT) system is heavily dependent upon the
amount of parallel sentences used in training. In recent years, there have been several …