Kalvin Chang
According to our database1,
Kalvin Chang
authored at least 13 papers
between 2022 and 2025.
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Bibliography
2025
Programming by Examples Meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction.
CoRR, January, 2025
Leveraging Allophony in Self-Supervised Speech Models for Atypical Pronunciation Assessment.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Programming by Example meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks.
CoRR, 2024
Can Large Language Models Code Like a Linguist?: A Case Study in Low Resource Sound Law Induction.
CoRR, 2024
Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study.
CoRR, 2024
Self-supervised Speech Representations Still Struggle with African American Vernacular English.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022