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 …

We present a second-stage machine translation (MT) system based on a neural machine
translation (NMT) approach to automatic post-editing (APE) that improves the translation …

Internet is taking more and more scale in Tunisians life, especially after the revolution in
2011. Indeed, Tunisian Internet users are increasingly using social networks, blogs, etc. 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 …

We describe the USAAR-SAPE English–Spanish Automatic Post-Editing (APE) system
submitted to the APE Task organized in the Workshop on Statistical Machine Translation …

The unsupervised word alignments (such as GIZA++) are widely used in the phrase-based
statistical machine translation. The quality of the model is proportional to the size and the …

Estimating sentence-like units and sentence boundaries in human language is an important
task in the context of natural language understanding. While this topic has been considered …

Over the past few decades, due to a continuing surge in the amount of content being
translated and ever increasing pressure to deliver high quality and high throughput …

The paper describes the PARSEME-It corpus, developed within the PARSEME-It project
which aims at the development of methods, tools and resources for multiword expressions …