The present chapter reviews the development of a hybrid Machine Translation (MT)
methodology, which is readily portable to new language pairs. This MT methodology (which …

Ensuring agreement between the subject and the main verb is crucial for the correctness of
the information that a sentence conveys. While generating correct subject-verb agreement is …

This paper presents a method for verb phrase (VP) alignment in an English/French parallel
corpus and its use for improving statistical machine translation (SMT) of verb tenses. The …

The paper presents the system developed by RACAI for the ISWLT 2012 competition, TED
task, MT track, Romanian to English translation. We describe the starting baseline phrase …

For current statistical machine translation system, reordering is still a major problem for
language pairs like Chinese-English, where the source and target language have significant …

The present article reports on efforts to improve the translation accuracy of a corpus–based
hybrid MT system developed using the PRESEMT methodology. This methodology operates …

Abstract Machine translation has advanced considerably in recent years, but primarily due to
the availability of larger data sets. Translation of low-frequency phrases and resourcepoor …

Post-editing has been successfully applied to correct the output of MT systems to generate
better translation, but as a downstream task its positive feedback to MT has not been well …

A common and effective way to train translation systems between related languages is to
consider sub-word level basic units. However, this increases the length of the sentences …

This paper describes the latest developments in the PeEn-SMT system, specifically covering
experiments with Grafix, an APE component developed for PeEn-SMT. The success of well …