Investigating Correlations Between Human Translation and MT Output

Investigating automatic and manual filtering methods to produce MT-ready glossaries from existing ones

Commercial Machine Translation (MT) providers offer functionalities that allow users to leverage bilingual glossaries. This poses the question of how to turn glossaries that were intended to be used by a human translator…

Validating Quality Estimation in a Computer-Aided Translation Workflow: Speed, Cost and Quality Trade-off

In modern computer-aided translation workflows, Machine Translation (MT) systems are used to produce a draft that is then checked and edited where needed by human translators. In this scenario, a Quality Estimation (QE) …

Comprehension and Trust in Crises: Investigating the Impact of Machine Translation and Post-Editing

We conducted a survey to understand the impact of machine translation and post-editing awareness on comprehension of and trust in messages disseminated to prepare the public for a weather-related crisis, i.e. flooding. T…

Investigating the potential of post-ordering SMT output to improve translation quality

An Empirical Study on the Robustness of Massively Multilingual Neural Machine Translation

Massively multilingual neural machine translation (MMNMT) has been proven to enhance the translation quality of low-resource languages. In this paper, we empirically investigate the translation robustness of Indonesian-C…