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ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages.

, , , and . WMT, page 392-418. Association for Computational Linguistics, (2023)

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BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus., , , , , , , , , and 10 other author(s). INTERSPEECH, page 2383-2387. ISCA, (2022)Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages., , , , , , , , , and 38 other author(s). CoRR, (2020)Multi-lingual and Multi-cultural Figurative Language Understanding., , , , , , , , and . ACL (Findings), page 8269-8284. Association for Computational Linguistics, (2023)When Is TTS Augmentation Through a Pivot Language Useful?, , , , and . INTERSPEECH, page 3538-3542. ISCA, (2022)A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation., , , , , , , , , and 35 other author(s). NAACL-HLT, page 3053-3070. Association for Computational Linguistics, (2022)MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African languages., , , , , , , , , and 34 other author(s). ACL (1), page 10883-10900. Association for Computational Linguistics, (2023)Quality-Aware Decoding for Neural Machine Translation., , , , , , and . NAACL-HLT, page 1396-1412. Association for Computational Linguistics, (2022)MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition., , , , , , , , , and 35 other author(s). EMNLP, page 4488-4508. Association for Computational Linguistics, (2022)ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages., , , and . WMT, page 392-418. Association for Computational Linguistics, (2023)AfriMTE and AfriCOMET: Empowering COMET to Embrace Under-resourced African Languages., , , , , , , , , and 47 other author(s). CoRR, (2023)