Idris Abdulmumin
Orcid: 0000-0002-3795-8381
According to our database1,
Idris Abdulmumin
authored at least 35 papers
between 2019 and 2024.
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Bibliography
2024
Quantity vs. Quality of Monolingual Source Data in Automatic Text Translation: Can It Be Too Little If It Is Too Good?
CoRR, 2024
CoRR, 2024
Analyzing COVID-19 Vaccination Sentiments in Nigerian Cyberspace: Insights from a Manually Annotated Twitter Dataset.
CoRR, 2024
Proceedings of the Ninth Conference on Machine Translation, 2024
Proceedings of the Ninth Conference on Machine Translation, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Leveraging Closed-Access Multilingual Embedding for Automatic Sentence Alignment in Low Resource Languages.
CoRR, 2023
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023
HausaNLP at SemEval-2023 Task 10: Transfer Learning, Synthetic Data and Side-information for Multi-level Sexism Classification.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages.
CoRR, 2022
CoRR, 2022
Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages.
Proceedings of the Seventh Conference on Machine Translation, 2022
A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Machine Learning Model for Recommending Suitable Courses of Study to Candidates in Nigerian Universities.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
Data Selection as an Alternative to Quality Estimation in Self-Learning for Low Resource Neural Machine Translation.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
2020
Iterative Self-Learning for Enhanced Back-Translation in Low Resource Neural Machine Translation.
CoRR, 2020
Using Self-Training to Improve Back-Translation in Low Resource Neural Machine Translation.
CoRR, 2020
CoRR, 2020
Enhanced Back-Translation for Low Resource Neural Machine Translation Using Self-training.
Proceedings of the Information and Communication Technology and Applications, 2020
2019
CoRR, 2019