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Lifting the Curse of Multilinguality by Pre-training Modular Transformers.

, , , , , , and . NAACL-HLT, page 3479-3495. Association for Computational Linguistics, (2022)

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Simple Fusion: Return of the Language Model., , and . WMT, page 204-211. Association for Computational Linguistics, (2018)No Language Left Behind: Scaling Human-Centered Machine Translation., , , , , , , , , and 28 other author(s). CoRR, (2022)Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders., , , , , and . EACL, page 1613-1624. Association for Computational Linguistics, (2021)How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training?, , , , , , and . AMTA, page 97-116. Association for Machine Translation in the Americas, (2022)Improving Zero-Shot Translation by Disentangling Positional Information., , , , and . ACL/IJCNLP (1), page 1259-1273. Association for Computational Linguistics, (2021)Layered Annotations of Digital Images for Data Collection in the Field., , and . ISWC, page 154-159. IEEE Computer Society, (2003)Design of a Minimal Interface for two-way strategic information flow for urban operations., , and . ISWC, page 208-209. IEEE Computer Society, (2005)On the Evaluation of Machine Translation for Terminology Consistency., , , , , , and . CoRR, (2021)Ada in the undergraduate curriculum., , , and . ACM Southeast Regional Conference, page 261. ACM, (1995)Data Selection Curriculum for Neural Machine Translation., , , , , and . EMNLP (Findings), page 1569-1582. Association for Computational Linguistics, (2022)