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Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams., , , , , and . CoRR, (2016)Language Agnostic Code-Mixing Data Augmentation by Predicting Linguistic Patterns., and . CoRR, (2022)Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity., , , , and . EMNLP (Findings), page 12858-12870. Association for Computational Linguistics, (2023)Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models., , , , and . CoRR, (2023)An Empirical Exploration of Curriculum Learning for Neural Machine Translation., , , , , , , , and . CoRR, (2018)The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo-References., , , , , , , , , and . WMT@ACL, page 70-77. The Association for Computer Linguistics, (2013)Findings of the IWSLT 2022 Evaluation Campaign., , , , , , , , , and 33 other author(s). IWSLT@ACL, page 98-157. Association for Computational Linguistics, (2022)Data Augmentation by Concatenation for Low-Resource Translation: A Mystery and a Solution., , and . IWSLT, page 287-293. Association for Computational Linguistics, (2021)Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet., , , , , , , , , and 11 other author(s). WMT, page 1-42. Association for Computational Linguistics, (2023)Incident-Driven Machine Translation and Name Tagging for Low-resource Languages., , , , , , , , , and 7 other author(s). Mach. Transl., 32 (1-2): 59-89 (2018)