The Ubiqus English-Inuktitut System for WMT20
By F. Hernandez, Vincent Nguyen. 2020
6 citations recorded by the source corpus.
This paper describes Ubiqus’ submission to the WMT20 English-Inuktitut shared news translation task. Our main system, and only submission, is based on a multilingual approach, jointly training a Transformer model on several agglutinative languages. The English-Inuktitut translation task is challenging at every step, from data selection, preparation and tokenization to quality evaluation down the line. Difficulties emerge both because of the peculiarities of the Inuktitut language as well as the low-resource context.
Subfields: Machine Translation
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Citations in the corpus
- MURAL: Multimodal, Multitask Retrieval Across Languages (2021, background): “0, Autshumato (Groe-newald and du Plooy, 2010), PMIndia (Haddow and Kirefu, 2020), CVIT (Srivastava et al., 2020), Inuktitut (Hernandez and Nguyen, 2020), NLPC, JESC (Pryzant et al., 2018), KFTT (Neubig, 2011), ASPEC (Nakazawa et al., 2016), Flores (Guzmán et al., 2019).”