Task 0 Q/A
Paper: SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection
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Task 1 Q/A
Title: The SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion
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Task 2 Q/A
Paper: The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion
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Posters

DeepSpin
Paper: DeepSPIN at SIGMORPHON 2020: One-Size-Fits-All Multilingual Models
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IMS
Paper: Ensemble Self-Training for Low-Resource Languages: Grapheme-to-Phoneme Conversion and Morphological Inflection
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CMU-LTI
Paper: The CMU-LTI submission to the SIGMORPHON 2020 Shared Task 0: Language-Specific Cross-Lingual Transfer
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UZH
Paper: Grapheme-to-Phoneme Conversion with a Multilingual Transformer Model
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NYU-CUBoulder
Paper: The NYU-CUBoulder Systems for SIGMORPHON 2020 Task 0 and Task 2
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IMS-CUBoulder
Paper: The IMS–CUBoulder System for the SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion
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ETS-Zürich
Paper: SIGMORPHON 2020 Task 0 System Description: ETH Zürich Team
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KU-CST
Paper: KU-CST at the SIGMORPHON 2020 Task 2 on Unsupervised Morphological Paradigm Completion
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UAlberta
Paper: Low-Resource G2P and P2G Conversion with Synthetic Training Data
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UBoulder - Task 1
Paper: Frustratingly Easy Multilingual Grapheme-to-Phoneme Conversion
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CMU
Paper: Exploring Neural Architectures And Techniques For Typologically Diverse Morphological Inflection
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Illinois
Paper: University of Illinois Submission to the SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection
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UBC
Paper: One Model to Pronounce Them All: Multilingual Grapheme-to-Phoneme Conversion With a Transformer Ensemble
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UBoulder - Task 0
Paper: Leveraging Principal Parts for Morphological Inflection
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Colorado - Task 0
Paper: Linguist vs. Machine: Rapid Development of Finite-State Morphological Grammars
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CLUZH
Paper: CLUZH at SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion
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UniMelb
Paper: The UniMelb Submission to the SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection
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Colorado - Task 1
Paper: Data Augmentation for Transformer-based G2P
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