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SIGMORPHON 2023 — accepted papers

SIGMORPHON 2023 is the 2023 edition of the Workshop of the Special Interest Group on Computational Morphology and Phonology (SIGMORPHON), held in Toronto, Canada, July 2023 (publisher: Association for Computational Linguistics). The ACL Anthology lists 28 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Toronto, Canada · 🗓 July 2023

 28papers in the proceedings 1work in our library 3citations of these works

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

  1. SIGMORPHON–UniMorph 2023 Shared Task 0: Typologically Diverse Morphological Inflection ↗Omer Goldman, Khuyagbaatar Batsuren, Salam Khalifa et al.8 citations
  2. Findings of the SIGMORPHON 2023 Shared Task on Interlinear Glossing ↗Michael Ginn, Sarah Moeller, Alexis Palmer et al.6 citations
  3. Translating a low-resource language using GPT-3 and a human-readable dictionary ↗Micha Elsner, Jordan Needle6 citations
  4. Investigating Phoneme Similarity with Artificially Accented Speech ↗Margot Masson, Julie Carson-berndsen4 citations
  5. Morphological reinflection with weighted finite-state transducers ↗Alice Kwak, Michael Hammond, Cheyenne Wing4 citations
  6. Character alignment methods for dialect-to-standard normalization ↗Yves Scherrer3 citations
  7. LISN @ SIGMORPHON 2023 Shared Task on Interlinear Glossing ↗Shu Okabe, François Yvon3 citations
  8. SIGMORPHON 2022 Shared Task on Grapheme-to-Phoneme Conversion Submission Description: Sequence Labelling for G2P ↗Leander Girrbach3 citations
  9. SigMoreFun Submission to the SIGMORPHON Shared Task on Interlinear Glossing ↗Taiqi He, Lindia Tjuatja, Nathaniel Robinson et al.3 citations
  10. A future for universal grapheme-phoneme transduction modeling with neuralized finite-state transducers ↗Chu-Cheng Lin2 citations

All accepted papers (28)

The most cited first; 1 with our summary link to their page here, the others to the original.

  1. SIGMORPHON–UniMorph 2023 Shared Task 0: Typologically Diverse Morphological Inflection ↗Omer Goldman, Khuyagbaatar Batsuren, Salam Khalifa et al.8 citations
  2. Findings of the SIGMORPHON 2023 Shared Task on Interlinear Glossing ↗Michael Ginn, Sarah Moeller, Alexis Palmer et al.6 citations
  3. Translating a low-resource language using GPT-3 and a human-readable dictionary ↗Micha Elsner, Jordan Needle6 citations
  4. Investigating Phoneme Similarity with Artificially Accented Speech ↗Margot Masson, Julie Carson-berndsen4 citations
  5. Morphological reinflection with weighted finite-state transducers ↗Alice Kwak, Michael Hammond, Cheyenne Wing4 citations
  6. Character alignment methods for dialect-to-standard normalization ↗Yves Scherrer3 citations
  7. LISN @ SIGMORPHON 2023 Shared Task on Interlinear Glossing ↗Shu Okabe, François Yvon3 citations
  8. SIGMORPHON 2022 Shared Task on Grapheme-to-Phoneme Conversion Submission Description: Sequence Labelling for G2P ↗Leander Girrbach3 citations
  9. SigMoreFun Submission to the SIGMORPHON Shared Task on Interlinear Glossing ↗Taiqi He, Lindia Tjuatja, Nathaniel Robinson et al.3 citations
  10. A future for universal grapheme-phoneme transduction modeling with neuralized finite-state transducers ↗Chu-Cheng Lin2 citations
  11. An Ensembled Encoder-Decoder System for Interlinear Glossed Text ↗Edith Coates2 citations
  12. Colexifications for Bootstrapping Cross-lingual Datasets: The Case of Phonology, Concreteness, and Affectiveness ↗Yiyi Chen, Johannes Bjerva2 citations
  13. Glossy Bytes: Neural Glossing using Subword Encoding ↗Ziggy Cross, Michelle Yun, Ananya Apparaju et al.2 citations
  14. Joint Learning Model for Low-Resource Agglutinative Language Morphological Tagging ↗Gulinigeer Abudouwaili, Kahaerjiang Abiderexiti, Nian Yi et al.2 citations
  15. Linear Discriminative Learning: a competitive non-neural baseline for morphological inflection ↗Cheonkam Jeong, Dominic Schmitz, Akhilesh Kakolu Ramarao et al.2 citations
  16. Evaluating Cross Lingual Transfer for Morphological Analysis: a Case Study of Indian Languages ↗Siddhesh Pawar, Partha Talukdar, Pushpak Bhattacharyya1 citation
  17. Generalized Glossing Guidelines: An Explicit, Human- and Machine-Readable, Item-and-Process Convention for Morphological Annotation ↗David R. Mortensen, Ela Gulsen, Taiqi He et al.1 citation
  18. SIGMORPHON–UniMorph 2023 Shared Task 0, Part 2: Cognitively Plausible Morphophonological Generalization in Korean ↗Canaan Breiss, Jinyoung Jo1 citation
  19. Tü-CL at SIGMORPHON 2023: Straight-Through Gradient Estimation for Hard Attention ↗Leander Girrbach1 citation
  20. Tü-CL at SIGMORPHON 2023: Straight-Through Gradient Estimation for Hard Attention ↗Leander Girrbach1 citation
  21. Fine-tuning mSLAM for the SIGMORPHON 2022 Shared Task on Grapheme-to-Phoneme Conversion ↗Dan Garrette
  22. Improving Automated Prediction of English Lexical Blends Through the Use of Observable Linguistic FeaturesJarem Saundersour summary
  23. Jambu: A historical linguistic database for South Asian languages ↗Aryaman Arora, Adam Farris, Samopriya Basu et al.
  24. Lightweight morpheme labeling in context: Using structured linguistic representations to support linguistic analysis for the language documentation context ↗Bhargav Shandilya, Alexis Palmer
  25. Low-resource grapheme-to-phoneme mapping with phonetically-conditioned transfer ↗Michael Hammond

See all 28 papers in SIGMORPHON 2023 — accepted papers →

 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

  1. Improving Automated Prediction of English Lexical Blends Through the Use of Observable Linguistic FeaturesWorkshop of the Special Interest Group on Computational Morphology and Phonology (SIGMORPHON)Jarem Saunders2023 · 3 citations

 Top topics

Topics of its works in our library, with the number of works on each.

English (1)

 Fields

Arts and Humanities (1)Computer Science (1)

 Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓University of North Carolina at Chapel HillChapel Hill · United States1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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