---
title: "SIGMORPHON 2021 — all accepted papers — Elamur Research"
description: "All 29 papers of SIGMORPHON 2021, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/sigmorphon/2021/papers/"
---
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# SIGMORPHON 2021: all accepted papers

29 papers · the most cited first · [← SIGMORPHON 2021](https://md.research.elamur.ai/free/en/venues/sigmorphon/2021/)

1. **[SIGMORPHON 2021 Shared Task on Morphological Reinflection: Generalization Across Languages ↗](https://aclanthology.org/2021.sigmorphon-1.25/)**Tiago Pimentel, Maria Ryskina, Sabrina J. Mielke et al.*36 citations*
2. **[MorphyNet: a Large Multilingual Database of Derivational and Inflectional Morphology](https://md.research.elamur.ai/free/en/papers/batsuren-2021-morphynet/)**Khuyagbaatar Batsuren, Gábor Bella, Fausto Giunchiglia*23 citations · our summary*
3. **[Results of the Second SIGMORPHON Shared Task on Multilingual Grapheme-to-Phoneme Conversion ↗](https://aclanthology.org/2021.sigmorphon-1.13/)**Lucas F.E. Ashby, Travis M. Bartley, Simon Clematide et al.*14 citations*
4. **[An FST morphological analyzer for the Gitksan language ↗](https://aclanthology.org/2021.sigmorphon-1.21/)**Clarissa Forbes, Garrett Nicolai, Miikka Silfverberg*6 citations*
5. **[CLUZH at SIGMORPHON 2021 Shared Task on Multilingual Grapheme-to-Phoneme Conversion: Variations on a Baseline ↗](https://aclanthology.org/2021.sigmorphon-1.17/)**Simon Clematide, Peter Makarov*6 citations*
6. **[What transfers in morphological inflection? Experiments with analogical models ↗](https://aclanthology.org/2021.sigmorphon-1.18/)**Micha Elsner*5 citations*
7. **[Adaptor Grammars for Unsupervised Paradigm Clustering ↗](https://aclanthology.org/2021.sigmorphon-1.9/)**Kate McCurdy, Sharon Goldwater, Adam Lopez*4 citations*
8. **[Data augmentation for low-resource grapheme-to-phoneme mapping ↗](https://aclanthology.org/2021.sigmorphon-1.14/)**Michael Hammond*4 citations*
9. **[Findings of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering ↗](https://aclanthology.org/2021.sigmorphon-1.8/)**Adam Wiemerslage, Arya D. McCarthy, Alexander Erdmann et al.*4 citations*
10. **[Recognizing Reduplicated Forms: Finite-State Buffered Machines ↗](https://aclanthology.org/2021.sigmorphon-1.20/)**Yang Wang*4 citations*
11. **[Recursive prosody is not finite-state ↗](https://aclanthology.org/2021.sigmorphon-1.2/)**Hossep Dolatian, Aniello De Santo, Thomas Graf*4 citations*
12. **[Were We There Already? Applying Minimal Generalization to the SIGMORPHON-UniMorph Shared Task on Cognitively Plausible Morphological Inflection ↗](https://aclanthology.org/2021.sigmorphon-1.29/)**Colin Wilson, Jane S.Y. Li*4 citations*
13. **[Incorporating tone in the calculation of phonotactic probability ↗](https://aclanthology.org/2021.sigmorphon-1.4/)**James Kirby*3 citations*
14. **[Linguistic Knowledge in Multilingual Grapheme-to-Phoneme Conversion ↗](https://aclanthology.org/2021.sigmorphon-1.15/)**Roger Yu-Hsiang Lo, Garrett Nicolai*3 citations*
15. **[Paradigm Clustering with Weighted Edit Distance ↗](https://aclanthology.org/2021.sigmorphon-1.12/)**Andrew Gerlach, Adam Wiemerslage, Katharina Kann*3 citations*
16. **[A Study of Morphological Robustness of Neural Machine Translation ↗](https://aclanthology.org/2021.sigmorphon-1.6/)**Sai Muralidhar Jayanthi, Adithya Pratapa*2 citations*
17. **[Orthographic vs. Semantic Representations for Unsupervised Morphological Paradigm Clustering ↗](https://aclanthology.org/2021.sigmorphon-1.10/)**E. Margaret Perkoff, Josh Daniels, Alexis Palmer*2 citations*
18. **[Simple induction of (deterministic) probabilistic finite-state automata for phonotactics by stochastic gradient descent ↗](https://aclanthology.org/2021.sigmorphon-1.19/)**Huteng Dai, Richard Futrell*2 citations*
19. **[Unsupervised Paradigm Clustering Using Transformation Rules ↗](https://aclanthology.org/2021.sigmorphon-1.11/)**Changbing Yang, Garrett Nicolai, Miikka Silfverberg*2 citations*
20. **[Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction ↗](https://aclanthology.org/2021.sigmorphon-1.16/)**Vagrant Gautam, Wang Yau Li, Zafarullah Mahmood et al.*1 citation*
21. **[BME Submission for SIGMORPHON 2021 Shared Task 0. A Three Step Training Approach with Data Augmentation for Morphological Inflection ↗](https://aclanthology.org/2021.sigmorphon-1.27/)**Gábor Szolnok, Botond Barta, Dorina Lakatos et al.*1 citation*
22. **[Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction ↗](https://aclanthology.org/2021.sigmorphon-1.22/)**Maria Ryskina, Eduard Hovy, Taylor Berg-Kirkpatrick et al.*1 citation*
23. **[Not Quite There Yet: Combining Analogical Patterns and Encoder-Decoder Networks for Cognitively Plausible Inflection ↗](https://aclanthology.org/2021.sigmorphon-1.28/)**Basilio Calderone, Nabil Hathout, Olivier Bonami*1 citation*
24. **[The Match-Extend serialization algorithm in Multiprecedence ↗](https://aclanthology.org/2021.sigmorphon-1.3/)**Maxime Papillon*1 citation*
25. **[Training Strategies for Neural Multilingual Morphological Inflection ↗](https://aclanthology.org/2021.sigmorphon-1.26/)**Adam Ek, Jean-Philippe Bernardy*1 citation*
26. **[Finite-state Model of Shupamem Reduplication ↗](https://aclanthology.org/2021.sigmorphon-1.23/)**Magdalena Markowska, Jeffrey Heinz, Owen Rambow
27. **[Improved pronunciation prediction accuracy using morphology ↗](https://aclanthology.org/2021.sigmorphon-1.24/)**Dravyansh Sharma, Saumya Sahai, Neha Chaudhari et al.
28. **[Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems ↗](https://aclanthology.org/2021.sigmorphon-1.7/)**Saujas Vaduguru, Aalok Sathe, Monojit Choudhury et al.
29. **[Towards Detection and Remediation of Phonemic Confusion ↗](https://aclanthology.org/2021.sigmorphon-1.1/)**Francois Roewer-Despres, Arnold Yeung, Ilan Kogan
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