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Found 7 papers, 2 papers with code
Findings of the WMT 2020 Biomedical Translation Shared Task: Basque, Italian and Russian as New Additional Languages
Machine translation of scientific abstracts and terminologies has the potential to support health professionals and biomedical researchers in some of their activities.
Ixamed’s submission description for WMT20 Biomedical shared task: benefits and limitations of using terminologies for domain adaptation
Regarding the techniques used, we base on the findings from our previous works for translating clinical texts into Basque, making use of clinical terminology for adapting the MT systems to the clinical domain.
Comparing and combining tagging with different decoding algorithms for back-translation in NMT: learnings from a low resource scenario
Recently, diverse approaches have been proposed to get better automatic evaluation results of NMT models using back-translation, including the use of sampling instead of beam search as decoding algorithm for creating the synthetic corpus.
Findings of the WMT 2021 Biomedical Translation Shared Task: Summaries of Animal Experiments as New Test Set
In the sixth edition of the WMT Biomedical Task, we addressed a total of eight language pairs, namely English/German, English/French, English/Spanish, English/Portuguese, English/Chinese, English/Russian, English/Italian, and English/Basque.
Unsupervised Machine Translation in Real-World Scenarios
In this work, we present the work that has been carried on in the MT4All CEF project and the resources that it has generated by leveraging recent research carried out in the field of unsupervised learning.
BasqueParl: A Bilingual Corpus of Basque Parliamentary Transcriptions
Parliamentary transcripts provide a valuable resource to understand the reality and know about the most important facts that occur over time in our societies.
Does Corpus Quality Really Matter for Low-Resource Languages?
For instance, 66% of documents are rated as high-quality for EusCrawl, in contrast with <33% for both mC4 and CC100.
