New Journal Article
Machine translation has improved considerably in recent years, so much so that it is increasingly said to be en par with professional human translation. In collaboration with Sheila Castilho (DCU), Graham Neubig (CMU), Qinlan Shen (CMU) and Antonio Toral (RUG), Rico Sennrich and Samuel Läubli (UZH) compiled a set of recommendations for human–machine parity assessments in language translation, published today in the Journal of Artificial Intelligence Research
Weitere News
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- Phonetischer Multiethnolekt-Workshop im Juni 2020
- Promotionsprüfung Michael Amsler
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- Noëmi Aepli was awarded the Doc.CH grant by SNSF
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- “DSI-Workshop: Text Analytics for Health. Applications and Implications” at the University of Zurich
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- Prof. Dr. Noah Bubenhofer - Neuste Ernennung an der UZH
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- UZH-UNIGE Workshop on Computers in L2 Learning and Assessment - May 3, 2019
- Von Übersetzungen lernen
- New paper by Lei He, Yu Zhang and Volker Dellwo
- Dr. Sarah Ebling speaker at the conference Women in Data Science
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- 11.12. Colloqium Talk by Manfred Stede (University of Potsdam) on Argumentation Mining
- Talks as part of Igor Nozhov's course on “Introduction to Speech Technology and its Applications”
- Mathias Müller has been accepted to a Google Faculty Institute event in London
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- UZH-UNIGE Joint Seed Funding (Prof. Volker Dellwo and Sandra Schwab)
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- Master-Info-Event
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- Workshop «Multilinguale Korpora und Digital Humanities» zum Abschluss des Text+Berg-Projekts am 14. und 15. Juni 2018
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