The field of machine translation (MT), the automatic translation of written text from one
natural language into another, has experienced a major paradigm shift in recent years …

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 …

We describe QUEST, an open source framework for machine translation quality estimation.
The framework allows the extraction of several quality indicators from source segments, their …

While back-translation is simple and effective in exploiting abundant monolingual corpora to
improve low-resource neural machine translation (NMT), the synthetic bilingual corpora …

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 …

This paper presents QUEST++, an open source tool for quality estimation which can predict
quality for texts at word, sentence and document level. It also provides pipelined processing …

Computer vision systems today fail frequently. They also fail abruptly without warning or
explanation. Alleviating the former has been the primary focus of the community. In this work …

As robots aspire for long-term autonomous operations in complex dynamic environments,
the ability to reliably take mission-critical decisions in ambiguous situations becomes critical …

Annotating linguistic data is often a complex, time consuming and expensive endeavour.
Even with strict annotation guidelines, human subjects often deviate in their analyses, each …

This paper addresses the problem of producing a diverse set of plausible translations. We
present a simple procedure that can be used with any statistical machine translation (MT) …