Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …

This paper presents the results of the WMT14 shared tasks, which included a standard news
translation task, a separate medical translation task, a task for run-time estimation of …

Multiword expressions (MWEs) are a class of linguistic forms spanning conventional word
boundaries that are both idiosyncratic and pervasive across different languages. The …

Automatic post-editing (APE) aims to improve machine translations, thereby reducing human
post-editing effort. APE has had notable success when used with statistical machine …

This paper presents CATaLog online, a new web-based MT and TM post-editing tool.
CATaLog online is a freeware software that can be used through a web browser and it …

Large aligned corpora are required for any computer aided translation system to become
effective. In this scenario, bilingual document alignment has gained utmost importance in …

In this paper we combine two strands of machine translation (MT) research: automatic post-
editing (APE) and multi-engine (system combination) MT. APE systems learn a target …

This paper describes the UdS-Sant English–German Hybrid Machine Translation (MT)
system submitted to the Translation Task organized in the Workshop on Statistical Machine …

In this paper, we present a study on the impact of so-called multiword expressions (MWEs)
and multiword named entities (NEs) on the performance of Chinese-English machine …

Abstract A Statistical Machine Translation (SMT) system is always trained using large
parallel corpus to produce effective translation. Not only is the corpus scarce, it also involves …