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Rico Sennrich
cv
Rico Sennrich, Prof. Dr.
SNSF Professor
Tel.
+41 44 63 57131
Raumbezeichnung
AND-2.40
CV
since August 2019: SNSF Professor at University of Zurich.
2017‒2022: 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 (2015‒2017)
QT21 (2015‒2017)
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 at University of Zurich. Major: English Language and Literature. Minors: Computational Linguistics; Educational Science
2006‒2007: Erasmus study year at Lancaster University
Invited talks
21.4.2023. Interaktive Sprachmodelle: Ein Blick hinter die Kulissen. University of Berne, CH.
20.4.2023. Knowledge Transfer Across Languages and Modalities: Insights from Speech Translation and Sign Language Translation. RISE Learning Machines Seminar, Online.
4.7.2022. Testing the Limits of Word Sense Disambiguation in Machine Translation Models. Workshop 10 years of BabelNet and Multilingual Neuro-Symbolic NLU , Rome, Italy.
18.10.2021. On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation. Unbabel.
7.7.2021. How Contextual is Neural Machine Translation? TRITON conference.
29.6.2021. Lessons from Multilingual Machine Translation. Huawei CRI Vision Forum Virtual Workshop on AI & ML.
29.1.2021. Lessons from Multilingual Machine Translation. University of Colorado at Boulder, USA.
2.12.2020. Towards Reliable Zero-Shot Machine Translation. Uppsala University, Sweden.
18.5.2020. How Contextual is Neural Machine Translation? . GeCKo symposium.
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
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