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Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models

, , and . Advances in Neural Information Processing Systems (NIPS), (2007)

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Analyzing ASR Pretraining for Low-Resource Speech-to-Text Translation., , and . ICASSP, page 7909-7913. IEEE, (2020)Classifying topics in speech when all you have is crummy translations., , , and . CoRR, (2019)Unsupervised Dependency Parsing with Acoustic Cues., and . Trans. Assoc. Comput. Linguistics, (2013)Acoustic Word Embeddings for Untranscribed Target Languages with Continued Pretraining and Learned Pooling., , , and . CoRR, (2023)Fully unsupervised small-vocabulary speech recognition using a segmental Bayesian model., , and . INTERSPEECH, page 678-682. ISCA, (2015)Unsupervised Word Segmentation and Lexicon Discovery Using Acoustic Word Embeddings., , and . IEEE ACM Trans. Audio Speech Lang. Process., 24 (4): 669-679 (2016)Pre-training on high-resource speech recognition improves low-resource speech-to-text translation., , , , and . NAACL-HLT (1), page 58-68. Association for Computational Linguistics, (2019)Representational Bias in Unsupervised Learning of Syllable Structure., and . CoNLL, page 112-119. ACL, (2005)Modeling Graph Languages with Grammars Extracted via Tree Decompositions., , and . FSMNLP, page 54-62. The Association for Computer Linguistics, (2013)Unsupervised NLP and Human Language Acquisition: Making Connections to Make Progress.. ULNLP@EMNLP, page 1. Association for Computational Linguistics, (2011)