What's in a Domain? Analyzing Genre and Topic Differences in Statistical Machine Translation. - Marlies van der Wees; Arianna Bisazza; Wouter Weerkamp; Christof Monz (ACL (2), 2015)

Five Shades of Noise: Analyzing Machine Translation Errors in User-Generated Text. - Marlies van der Wees; Arianna Bisazza; Christof Monz (NUT@IJCNLP, 2015)

Translation Model Adaptation Using Genre-Revealing Text Features. - Marlies van der Wees; Arianna Bisazza; Christof Monz (DiscoMT@EMNLP, 2015)

A Simple but Effective Approach to Improve Arabizi-to-English Statistical Machine Translation. - Marlies van der Wees; Arianna Bisazza; Christof Monz (NUT@COLING, 2016)

Measuring the Effect of Conversational Aspects on Machine Translation Quality. - Marlies van der Wees; Arianna Bisazza; Christof Monz (COLING, 2016)

Dynamic Data Selection for Neural Machine Translation. - Marlies van der Wees; Arianna Bisazza; Christof Monz (EMNLP, 2017)

Inferring modulators of genetic interactions with epistatic nested effects models. - Martin Pirkl; Madeline Diekmann; Marlies van der Wees; Niko Beerenwinkel; Holger Fröhlich; Florian Markowetz (PLoS Comput. Biol., 2017)

Evaluation of Machine Translation Performance Across Multiple Genres and Languages. - Marlies van der Wees; Arianna Bisazza; Christof Monz (LREC, 2018)

Personalized Push Notifications for News Recommendation. - Babak Loni; Anne Schuth; Lucas van de Haas; Jeroen Jansze; Vasco Visser; Marlies van der Wees (ORSUM@RecSys, 2019)

Do Transformer Attention Heads Provide Transparency in Abstractive Summarization? - Joris Baan; Maartje ter Hoeve; Marlies van der Wees; Anne Schuth; Maarten de Rijke (CoRR, 2019)

Understanding Multi-Head Attention in Abstractive Summarization. - Joris Baan; Maartje ter Hoeve; Marlies van der Wees; Anne Schuth; Maarten de Rijke (CoRR, 2019)