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ML_LTU at SemEval-2022 Task 4: T5 Towards Identifying Patronizing and Condescending Language., , , , and . SemEval@NAACL, page 473-478. Association for Computational Linguistics, (2022)Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark Datasets., , , , , and . CoRR, (2023)Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages., , , , , , , , , and 1 other author(s). WMT, page 1001-1014. Association for Computational Linguistics, (2022)Generative AI and Teachers - For Us or Against Us? A Case Study., , , and . CoRR, (2024)The Challenge of Diacritics in Yoruba Embeddings., , and . CoRR, (2020)ML_LTU at SemEval-2022 Task 4: T5 Towards Identifying Patronizing and Condescending Language., , , , and . CoRR, (2022)Instruction Makes a Difference., , , and . CoRR, (2024)AfriMTE and AfriCOMET: Empowering COMET to Embrace Under-resourced African Languages., , , , , , , , , and 47 other author(s). CoRR, (2023)Word2Vec: Optimal hyperparameters and their impact on natural language processing downstream tasks., , and . Open Comput. Sci., 12 (1): 134-141 (2022)MasakhaNER: Named Entity Recognition for African Languages., , , , , , , , , and 51 other author(s). AfricaNLP, (2021)