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Low-Resource Machine Translation Training Curriculum Fit for Low-Resource Languages.

, , , , , and . PRICAI (3), volume 14327 of Lecture Notes in Computer Science, page 453-458. Springer, (2023)

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Low-Resource Machine Translation for Low-Resource Languages: Leveraging Comparable Data, Code-Switching and Compute Resources, , , , and . CoRR, (2021)LAL: Linguistically Aware Learning for Scene Text Recognition., , , and . ACM Multimedia, page 4051-4059. ACM, (2020)Large Language Models for Career Readiness Prediction., , , , and . AIED Companion (1), volume 2150 of Communications in Computer and Information Science, page 304-311. Springer, (2024)Subspace Regularizers for Few-Shot Class Incremental Learning., , , and . ICLR, OpenReview.net, (2022)Better Quality Estimation for Low Resource Corpus Mining., , and . ACL (Findings), page 533-543. Association for Computational Linguistics, (2022)Low-Resource Machine Translation Training Curriculum Fit for Low-Resource Languages., , , , , and . PRICAI (3), volume 14327 of Lecture Notes in Computer Science, page 453-458. Springer, (2023)Sentiment-based Candidate Selection for NMT., and . MTSummit (1), page 188-201. Association for Machine Translation in the Americas, (2021)Deriving Verb Predicates By Clustering Verbs with Arguments., , , , and . CoRR, (2017)On Measuring Social Biases in Prompt-Based Multi-Task Learning., , , , , and . NAACL-HLT (Findings), page 551-564. Association for Computational Linguistics, (2022)DUnE: Dataset for Unified Editing., , , and . EMNLP, page 1847-1861. Association for Computational Linguistics, (2023)