This paper presents the results of the WMT10 and MetricsMATR10 shared tasks, 1 which
included a translation task, a system combination task, and an evaluation task. We …

The demand for translations is increasing at a rate far beyond the capacity of professional
translators. It is too difficult, time consuming and expensive to translate everything from …

Most statistical translation models rely on the unsupervized computation of word-based
alignments, which both serve to identify elementary translation units and to uncover hidden …

We present a series of experiments involving the machine translation of Zulu to English
using a well-known statistical software system. Due to morphological complexity and relative …

The objective of this thesis is to directly incorporate comparable corpora into the estimation
of end-to-end statistical machine translation (SMT) models. Typically, SMT models are …

Neural machine translation together with subword segmentation has recently produced state-
of-the-art translation performance. The commonly used segmentation algorithm based on …

While there has been abundant research on statistical machine translation to and from
“morphologically complex” languages such as Arabic, Czech, or Turkish,(Avramidis & …

Previously, statistical machine translation (SMT) models have been estimated from parallel
corpora, or pairs of translated sentences. In this thesis, we directly incorporate comparable …

Recommender systems are very popular in information systems and in the research
community, where many different approaches geared towards giving better …