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What Do Self-Supervised Speech Models Know About Words?, , , and . Trans. Assoc. Comput. Linguistics, (2024)Searching for fingerspelled content in American Sign Language., , , and . CoRR, (2022)On the Role of Supervision in Unsupervised Constituency Parsing., , and . EMNLP (1), page 7611-7621. Association for Computational Linguistics, (2020)Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks., , , , and . EMNLP (1), page 8519-8526. Association for Computational Linguistics, (2020)Speech Production in Speech Technologies: Introduction to the CSL Special Issue., , , , and . Comput. Speech Lang., (2016)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 440 other author(s). Trans. Mach. Learn. Res., (2023)On the Effects of Heterogeneous Data Sources on Speech-to-Text Foundation Models., , , , , and . CoRR, (2024)Acoustically Grounded Word Embeddings for Improved Acoustics-to-word Speech Recognition., , , and . ICASSP, page 5641-5645. IEEE, (2019)Pre-Trained Text Embeddings for Enhanced Text-to-Speech Synthesis., , , , , and . INTERSPEECH, page 4430-4434. ISCA, (2019)Mapping Unseen Words to Task-Trained Embedding Spaces., , , and . Rep4NLP@ACL, page 100-110. Association for Computational Linguistics, (2016)