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CMU Multilingual NLP 2020 (23): Universal Translation at Scale
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Multilingual Natural Language Processing 2020
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- 1 CMU Multilingual NLP 2020 (1): Introduction
- 2 CMU Multilingual NLP 2020 (2): Typology - The Space of Language
- 3 CMU Multilingual NLP 2020 (3): Words, Parts of Speech, Morphology
- 4 CMU Multilingual NLP 2020 (4): Text Classification and Sequence Labeling
- 5 CMU Multilingual NLP 2020 (5): Advanced Text Classification/Labeling
- 6 CMU Multilingual NLP 2020 (6): Translation, Evaluation, and Datasets
- 7 CMU Multilingual NLP 2020 (7): Machine Translation/Sequence-to-sequence Models
- 8 CMU Multilingual NLP 2020 (8): Data Augmentation for Machine Translation
- 9 CMU Multilingual NLP 2020 (9): Language Contact and Similarity Across Languages
- 10 CMU Multilingual NLP 2020 (10): Multilingual Training and Cross-lingual Transfer
- 11 CMU Multilingual NLP 2020 (11): Unsupervised Translation
- 12 CMU Multilingual NLP 2020 (12): Code Switching, Pidgins, and Creoles
- 13 CMU Multilingual NLP 2020 (13): Speech
- 14 CMU Multilingual NLP 2020 (14): Automatic Speech Recognition
- 15 CMU Multilingual NLP 2020 (15): Low Resource ASR
- 16 CMU Multilingual NLP 2020 (16): Text to Speech
- 17 CMU Multilingual NLP 2020 (17): Morphological Analysis and Inflection
- 18 CMU Multilingual NLP 2020 (18): Dependency Parsing
- 19 CMU Multilingual NLP 2020 (19): Data Annotation
- 20 CMU Multilingual NLP 2020 (20): Active Learning
- 21 CMU Multilingual NLP 2020 (21): Information Extraction
- 22 CMU Multilingual NLP 2020 (22): Multilingual NLP for Indigenous Languages
- 23 CMU Multilingual NLP 2020 (23): Universal Translation at Scale
