In this paper, we describe compare-mt, a tool for holistic analysis and comparison of the
results of systems for language generation tasks such as machine translation. The main goal …

Although many studies have focused on aggression or visual-spatial cognition effects of
video games, the problem-solving aspects have been largely ignored. This study sought to …

This paper proposes a method for learning a discriminative parser for machine translation
reordering using only aligned parallel text. This is done by treating the parser's derivation …

Word reordering is one of the most difficult aspects of statistical machine translation (SMT),
and an important factor of its quality and efficiency. Despite the vast amount of research …

When translating among languages that differ substantially in word order, machine
translation (MT) systems benefit from syntactic preordering—an approach that uses features …

We introduce Addicter, a tool for Automatic Detection and DIsplay of Common Translation
ERrors. The tool allows to automatically identify and label translation errors and browse the …

Recent research on translation memories and machine translation technologies tends to
focus on technical issues only, falsely abstracting the technologies from the many different …

We present an efficient incremental topdown parsing method for preordering based on
Bracketing Transduction Grammar (BTG). The BTG-based preordering framework (Neubig et …