Martin Popel

Findings of the 2016 Conference on Machine Translation

Ondřej Bojar, Rajen Chatterjee, Christian Federmann et al. · 2016 · 559 citations · Full text

Natural Language Processing, Translation Studies, Applied Linguistics +14

CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

Daniel Zeman, Martin Popel, Milan Straka et al. · 2017 · 365 citations · Full text

Shared Task, Syntactic Parsing, Cross-lingual Representation +19

Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals

Martin Popel, Markéta Tomková, Jakub Tomek et al. · Nature Communications · 2020 · 291 citations · Full text

Training Tips for the Transformer Model

Martin Popel, Ondřej Bojar · ˜The œPrague Bulletin of Mathematical Linguistics · 2018 · 277 citations · Full text

Recent Tensor2tensor Framework, Engineering, Machine Learning +18

CoNLL 2018 Shared Task : Multilingual Parsing from Raw Text to Universal Dependencies

Daniel Zeman, Jan Hajič, Martin Popel et al. · Conference on Computational Natural Language Learning · 2018 · 184 citations

Shared Task, Syntactic Parsing, Engineering +21