Mathias Müller
Mathias Müller
Institute of Computational Linguistics, University of Zurich
Verified email at - Homepage
Cited by
Cited by
Findings of the 2019 conference on machine translation (wmt19)
L Barrault, O Bojar, MR Costa-Jussa, C Federmann, M Fishel, Y Graham, ...
Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019
Why self-attention? a targeted evaluation of neural machine translation architectures
G Tang, M Müller, A Rios, R Sennrich
arXiv preprint arXiv:1808.08946, 2018
A large-scale test set for the evaluation of context-aware pronoun translation in neural machine translation
M Müller, A Rios, E Voita, R Sennrich
arXiv preprint arXiv:1810.02268, 2018
Domain robustness in neural machine translation
M Müller, A Rios, R Sennrich
arXiv preprint arXiv:1911.03109, 2019
The word sense disambiguation test suite at WMT18
A Rios, M Müller, R Sennrich
Association for Computational Linguistics, 2018
Statistical machine translation of subtitles: From OpenSubtitles to TED
M Müller, M Volk
Language processing and knowledge in the web, 132-138, 2013
Building a Parallel Corpus on the World's Oldest Banking Magazine
M Volk, C Amrhein, N Aepli, M Müller, P Ströbel
University of Zurich, 2016
Treatment of markup in statistical machine translation
M Müller
Association of Computational Linguistics, 2017
Speaker identification based on speech rhythm: the case of bilinguals
V Dellwo, S Schmid, A Leemann, MJ Kolly, M Müller
University of Zurich, 2012
Quality at a glance: An audit of web-crawled multilingual datasets
I Caswell, J Kreutzer, L Wang, A Wahab, D van Esch, N Ulzii-Orshikh, ...
arXiv preprint arXiv:2103.12028, 2021
Subword segmentation and a single bridge language affect zero-shot neural machine translation
A Rios, M Müller, R Sennrich
arXiv preprint arXiv:2011.01703, 2020
mtrain: A convenience tool for machine translation
S Läubli, M Müller, B Horat, M Volk
European Association for Machine Translation, 2018
Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation
M Müller, R Sennrich
arXiv preprint arXiv:2105.08504, 2021
Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition
A Moryossef, I Tsochantaridis, J Dinn, NC Camgoz, R Bowden, T Jiang, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Project Exposé (Revised)
M Müller
Linear models
MAE Muller
Teaching Project
M Müller
Writing a Scientific Thesis
M Müller
Contrastive Evaluation of Larger-context Neural Machine Translation
M Müller
A method for the elicitation of shouted speech with controlled loudness
K Dimos, L He, V Dellwo, M Müller
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