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The WMT'18 Morpheval test suites for English-Czech, English-German, English-Finnish and Turkish-English.

, , , , , , , and . WMT (shared task), page 546-560. Association for Computational Linguistics, (2018)

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Translational Grounding: Using Paraphrase Recognition and Generation to Demonstrate Semantic Abstraction Abilities of MultiLingual NMT., and . CoRR, (2018)Crowdsourced mapping of pronunciation variants in European French., , and . ICPhS, University of Glasgow, (2015)Neural morphosyntactic tagging for Rusyn., and . Nat. Lang. Eng., 25 (5): 633-650 (2019)HeLju@VarDial 2020: Social Media Variety Geolocation with BERT Models., and . VarDial@COLING, page 202-211. International Committee on Computational Linguistics (ICCL), (2020)Multi-source morphosyntactic tagging for spoken Rusyn., and . VarDial, page 84-92. Association for Computational Linguistics, (2017)Dialect Representation Learning with Neural Dialect-to-Standard Normalization., and . VarDial@EACL, page 200-212. Association for Computational Linguistics, (2023)The University of Helsinki and Aalto University submissions to the WMT 2020 news and low-resource translation tasks., , and . WMT@EMNLP, page 1129-1138. Association for Computational Linguistics, (2020)The MuCoW Test Suite at WMT 2019: Automatically Harvested Multilingual Contrastive Word Sense Disambiguation Test Sets for Machine Translation., , and . WMT (2), page 470-480. Association for Computational Linguistics, (2019)On-line Multilingual Linguistic Services., , and . COLING (Demos), page 89-92. ACL, (2016)Digitising Swiss German: how to process and study a polycentric spoken language., , and . Lang. Resour. Evaluation, 53 (4): 735-769 (2019)