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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)Learning a Subword Inventory Jointly with End-to-End Automatic Speech Recognition., and . ICASSP, page 6439-6443. IEEE, (2020)Frame-Level Speaker Embeddings for Text-Independent Speaker Recognition and Analysis of End-to-End Model., , and . SLT, page 1007-1013. IEEE, (2018)Semi-Supervised Spoken Language Understanding via Self-Supervised Speech and Language Model Pretraining., , , , and . CoRR, (2020)Noise-tolerant Audio-visual Online Person Verification using an Attention-based Neural Network Fusion., , and . CoRR, (2018)Introduction to the Issue on Speech Processing for Natural Interaction With Intelligent Environments., , , , and . J. Sel. Topics Signal Processing, 4 (5): 769-771 (2010)SVD-PHAT: A Fast Sound Source Localization Method., and . ICASSP, page 4140-4144. IEEE, (2019)Subword Regularization and Beam Search Decoding for End-to-end Automatic Speech Recognition., and . ICASSP, page 6266-6270. IEEE, (2019)Semantic mapping of natural language input to database entries via convolutional neural networks., , and . ICASSP, page 5685-5689. IEEE, (2017)