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SIGMORPHON 2021: all accepted papers

29 papers · the most cited first · ← SIGMORPHON 2021

  1. SIGMORPHON 2021 Shared Task on Morphological Reinflection: Generalization Across Languages ↗Tiago Pimentel, Maria Ryskina, Sabrina J. Mielke et al.36 citations
  2. MorphyNet: a Large Multilingual Database of Derivational and Inflectional MorphologyKhuyagbaatar Batsuren, Gábor Bella, Fausto Giunchiglia23 citations · our summary
  3. Results of the Second SIGMORPHON Shared Task on Multilingual Grapheme-to-Phoneme Conversion ↗Lucas F.E. Ashby, Travis M. Bartley, Simon Clematide et al.14 citations
  4. An FST morphological analyzer for the Gitksan language ↗Clarissa Forbes, Garrett Nicolai, Miikka Silfverberg6 citations
  5. Adaptor Grammars for Unsupervised Paradigm Clustering ↗Kate McCurdy, Sharon Goldwater, Adam Lopez4 citations
  6. Findings of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering ↗Adam Wiemerslage, Arya D. McCarthy, Alexander Erdmann et al.4 citations
  7. Recursive prosody is not finite-state ↗Hossep Dolatian, Aniello De Santo, Thomas Graf4 citations
  8. Paradigm Clustering with Weighted Edit Distance ↗Andrew Gerlach, Adam Wiemerslage, Katharina Kann3 citations
  9. A Study of Morphological Robustness of Neural Machine Translation ↗Sai Muralidhar Jayanthi, Adithya Pratapa2 citations
  10. Unsupervised Paradigm Clustering Using Transformation Rules ↗Changbing Yang, Garrett Nicolai, Miikka Silfverberg2 citations
  11. Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction ↗Vagrant Gautam, Wang Yau Li, Zafarullah Mahmood et al.1 citation
  12. Finite-state Model of Shupamem Reduplication ↗Magdalena Markowska, Jeffrey Heinz, Owen Rambow
  13. Improved pronunciation prediction accuracy using morphology ↗Dravyansh Sharma, Saumya Sahai, Neha Chaudhari et al.
  14. Towards Detection and Remediation of Phonemic Confusion ↗Francois Roewer-Despres, Arnold Yeung, Ilan Kogan

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