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 …

This paper presents the results of the WMT11 shared tasks, which included a translation
task, a system combination task, and a task for machine translation evaluation metrics. We …

Many applications within natural language processing involve performing text-to-text
transformations, ie, given a text in natural language as input, systems are required to …

The software industry has undergone rapid development since the beginning of the twenty-
first century. These changes have had a profound impact on translators who, due to the …

The article explores the impact of Machine Translation on sentiment analysis, employing the
combination of two state-ofthe-art tools-the multilingual sentiment analysis tool SentiSAIL …

Quality estimation (QE) has recently gained increasing interest as it can predict the quality of
machine translation results without a reference translation. QE is an annual shared task at …

Supervised approaches to NLP tasks rely on high-quality data annotations, which typically
result from expensive manual labelling procedures. For some tasks, however, the …

While machine translation is sometimes sufficient for conveying information across language
barriers, many scenarios still require precise human-quality translation that MT is currently …

Predicting the quality of machine translations is a challenging topic. Quality estimation (QE)
of translations is based on features of the source and target texts (without the need for …

We perform a systematic analysis of the effectiveness of features for the problem of
predicting the quality of machine translation (MT) at the sentence level. Starting from a …