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Revisiting Neural Language Modelling with Syllables., and . CoRR, (2020)BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages., , , , and . ACL (Findings), page 961-971. Association for Computational Linguistics, (2022)Toward Universal Dependencies for Shipibo-Konibo., , , , , , , and . UDW@EMNLP, page 151-161. Association for Computational Linguistics, (2018)Revisiting Syllables in Language Modelling and Their Application on Low-Resource Machine Translation., , , and . COLING, page 4258-4267. International Committee on Computational Linguistics, (2022)Findings of the Second AmericasNLP Competition on Speech-to-Text Translation., , , , , , , , , and 24 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 217-232. PMLR, (2021)Building an Endangered Language Resource in the Classroom: Universal Dependencies for Kakataibo., , , , , , , , , and . LREC, page 3840-3851. European Language Resources Association, (2022)SchAman: Spell-Checking Resources and Benchmark for Endangered Languages from Amazonia., , , , , , , , , and 4 other author(s). AACL/IJCNLP (2), page 411-417. Association for Computational Linguistics, (2022)The University of Edinburgh's English-Tamil and English-Inuktitut Submissions to the WMT20 News Translation Task., , , , , and . WMT@EMNLP, page 92-99. Association for Computational Linguistics, (2020)CSI Peru News: finding the culprit, victim and location in news articles., and . WNLP@ACL, page 174-176. Association for Computational Linguistics, (2019)UniMorph 4.0: Universal Morphology., , , , , , , , , and 85 other author(s). LREC, page 840-855. European Language Resources Association, (2022)