CV
- since August 2019: SNSF Professor at University of Zurich.
- since August 2017: Lecturer (Assistant Professor) at University of Edinburgh.
- 2017‒2019: (part-time) researcher at University of Zurich. Projects:
- 2015‒2017: research associate at University of Edinburgh. Projects:
- research collaborations with Samsung (2015-2016; 2017)
- TraMOOC (2015-)
- QT21 (2015-)
- SUMMA (2016-2017)
- 2015: external lecturer at University of Zurich: "Advanced Topics in Machine Translation"
- 2013‒2015: SNSF mobility fellowship at University of Edinburgh: improving fluency with syntax-based statistical machine translation.
- 2012‒2014: Cooperation project with Finnova in Statistical Machine Translation.
- 2010‒2013: PhD in Computational Linguistics. Researcher in project Domain-specific Statistical Machine Translation
- September‒December 2012: Research stay at Laboratoire d'Informatique de l'Université du Maine
- 2004‒2010: Master in English Language and Literature, Computational Linguistics and Educational Science at University of Zurich
- 2006‒2007: Erasmus study year at Lancaster University
Invited talks
- 10.2.2020. Document-level Machine Translation: Recent Progress and The Crux of Evaluation. University of Stuttgart, DE.
- 14.1.2020. Document-level Machine Translation: Recent Progress and The Crux of Evaluation. Tianjin University, ZH.
- 11.10.2019. What Do Transformers Learn in NLP? Recent Insights from Model Analysis. EurNLP, London, UK.
- 25.4.2019. Document-level Machine Translation: Recent Progress and The Crux of Evaluation. NYU Centre of Data Science, New York, USA.
- 15.2.2019. Neural Machine Translation. What’s linguistics got to do with it?. SOIL-Tech 2019, New Delhi, India (remotely)
- 27.10.2018. Why the Time Is Ripe for Document-Level Machine Translation. Tianjin University, ZH.
- 25.10.2018. Revisiting Challenges in Neural Machine Translation. The 14th China Workshop on Machine Translation. Wuyishan, ZH
- 23.10.2018. Why the Time Is Ripe for Document-Level Machine Translation. The 1st International Workshop on Discourse Processing. Guangzhou, ZH.
- 20.7.2018. Why the Time Is Ripe for Discourse in Machine Translation. The 2nd Workshop on Neural Machine Translation and Generation, Melbourne, AU.
- 3.11.2017. Neural Machine Translation: what's linguistics got to do with it? Tartu University, Estonia.
- 1.11.2017. Neural Machine Translation: what's linguistics got to do with it? Second Finnish Workshop on Machine Translation, Helsinki, Finland.
- 30.8.2017. Neural Machine Translation: what's linguistics got to do with it? Text Speech & Dialogue 2017, Prague, Czech Republic.
- 14.3.2017. Neural Machine Translation. Booking.com, Amsterdam, NL.
- 24.11.2016. Neural Machine Translation: Breaking the Performance Plateau. LIMSI, Paris, FR.
- 28.10.2016. Neural Machine Translation: Breaking the Performance Plateau. AMTA 2016, Austin, Texas, USA.
- 4.7.2016. Neural Machine Translation: Breaking the Performance Plateau. META-FORUM 2016, Lisbon, PT.
- 24.6.2016. Recent Advances in Neural Machine Translation. Apple, Cupertino, USA.
- 23.6.2016. Recent Advances in Neural Machine Translation. Google, Mountain View, USA.
- 21.1.2016. Recent Advances in Neural Machine Translation. Facebook AI Research, Paris, FR.
- 21.12.2015. Syntax-based Machine Translation. Universität Konstanz, DE.
- 17.9.2013. A Multi-Domain Translation Model Framework for Statistical Machine Translation. Xerox Center Europe, Grenoble, F.
- 31.8.2012. Promoting Flexible Translations in Statistical Machine Translation. University of Tilburg, NL.
- 29.8.2012. Steps towards a quickly adaptable multi-domain SMT system. Radboud University Nijmegen, NL.
- 14.3.2012. Quick and Painless Domain Adaptation for Statistical Machine Translation. Université du Maine, Le Mans, F.
- 26.6.2010. MT-based Sentence Alignment for OCR-generated Parallel Texts. Tacos 2010, Zurich, CH.
Tutorials