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EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT ...
Abstract: We describe the EdinSaar submission to the shared task of Multilingual Low-Resource Translation for North Germanic Languages at the Sixth Conference on Machine Translation (WMT2021). We submit multilingual translation models for translations to/from Icelandic (is), Norwegian-Bokmal (nb), and Swedish (sv). We employ various experimental approaches, including multilingual pre-training, back-translation, fine-tuning, and ensembling. In most translation directions, our models outperform other submitted systems. ... : To be published WMT2021 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2109.14368
https://dx.doi.org/10.48550/arxiv.2109.14368
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Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification ...
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The RGNLP Machine Translation Systems for WAT 2018 ...
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Semantic reranking of CRF label sequences for verbal multiword expression identification ; Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
Maldonado Guerra, Alfredo; Moreau, Erwan; Vogel, Carl. - : Language Science Press, 2018
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