Current statistical machine translation (SMT) systems are trained on sentencealigned and word-aligned parallel text collected from various sources. Translation model parameters ar...
Spyros Matsoukas, Antti-Veikko I. Rosti, Bing Zhan...
We propose a novel objective function for discriminatively tuning log-linear machine translation models. Our objective explicitly optimizes the BLEU score of expected n-gram count...
In this paper, we describe and compare systems for text normalization based on statistical machine translation (SMT) methods which are constructed with the support of internet use...
Tim Schlippe, Chenfei Zhu, Jan Gebhardt, Tanja Sch...
Autonomic distributed management enables for deploying self-directed monitoring and control tasks that track dynamic network problems such as performance degradation and security t...
Tiffs lmper concerns an approach to Machine Translation whieJJ differs from the typical 'standard' approaches crucially in.that it does not rely on the prior existence o...