Abstract The generation by computer of multilingual documentation has been the object of many recent studies, motivated by the need to meet increasing demands with decreasing resources. These studies concentrate on the fully automatic generation of texts, leaving translators out of the loop. In contrast, our goal within the DRAFTER project is to provide tools to support rather than replace the ...

Active learning is a framework that makes it possible to efficiently train statistical models by selecting informative examples from a pool of unlabeled data. Previous work has found this framework effective for machine translation (MT), making it possible to train better translation models with less effort, particularly when annotators translate short phrases instead of full sentences. However...

This paper presents experiments on the human ranking task performed during WMT2013. The goal of these experiments is to re-run the human evaluation task with translation studies students and to compare the results with the human rankings performed by the WMT development teams during WMT2013. More specifically, we test whether we can reproduce, and if yes to what extent, the WMT2013 ranking task...

recent translation studies have been increasingly focusing on translators as mediators between cultures around the world and have helped us to see how the translator`s identity as a necessarily gendered rewriter impacts their works. this research studied the translation of an indian woman writer`s language and perspectives at lexical level by two iranian woman translators to find the probable e...

Machine translation post-editing is becoming commonplace and professional translators are often faced with this unknown task with little training and support. Given the different translation processes involved during post-editing, research suggests that untrained translators do not necessarily make good post-editors. Besides, the post-editing activity will be largely influenced by numerous aspe...

Crowdsourcing makes it possible to create translations at much lower cost than hiring professional translators. However, it is still expensive to obtain the millions of translations that are needed to train statistical machine translation systems. We propose two mechanisms to reduce the cost of crowdsourcing while maintaining high translation quality. First, we develop a method to reduce redund...

There is a wide range of information and communications technologies (ICT) available to translators today, including both general-purpose software applications and special-purpose software, such as terminology management and translation memory systems. In this paper, the findings are reported of the first phase of a research project set up to investigate the adoption of information and communic...

This paper explores the relationship between cultural knowledge and the specific meaning of a pronominal adverb in legal English where Chinese translators need to get the correct translation in their venture into translating the language of law. On the one hand, relying on the relevant legal cultural knowledge functioning as domain-general reference within a community or jurisdiction, tra...