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What do Neural Machine Translation Models Learn about Morphology?

, , , , and . (2017)cite arxiv:1704.03471Comment: Updated decoder experiments.
DOI: 10.18653/v1/P17-1080

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Preliminary Evaluation of the voyager Spoken Language System, , , , , , and . Proceedings DARPA Speech and Natural Language Workshop, page 160--167. Cape Cod, MA, Morgan Kaufmann, (October 1989)Integration of Speech Recognition and Natural Language Processing in the MIT VOYAGER System, , , , , , and . IEEE ICASSP-91, page I.713--716. IEEE, (1991)Introduction to the Issue on Speech Processing for Natural Interaction With Intelligent Environments., , , , and . J. Sel. Topics Signal Processing, 4 (5): 769-771 (2010)Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data., and . CoRR, (2018)Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clustering., , and . CoRR, (2023)DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning., , , , and . CoRR, (2023)PSLA: Improving Audio Event Classification with Pretraining, Sampling, Labeling, and Aggregation., , and . CoRR, (2021)Interpretable Unified Language Checking., , , , , , , , , and . CoRR, (2023)Magic dust for cross-lingual adaptation of monolingual wav2vec-2.0., , and . CoRR, (2021)Text-Free Image-to-Speech Synthesis Using Learned Segmental Units., , , and . CoRR, (2020)