mlsanityData to 14 Oct 2026

SIGMORPHON 2023 Shared Task of Interlinear Glossing: Baseline Model

arXiv 2303.14234 ↗First posted 24 Mar 2023cs.CLcited by 3

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Abstract (arXiv)

Language documentation is a critical aspect of language preservation, often including the creation of Interlinear Glossed Text (IGT). Creating IGT is time-consuming and tedious, and automating the process can save valuable annotator effort. This paper describes the baseline system for the SIGMORPHON 2023 Shared Task of Interlinear Glossing. In our system, we utilize a transformer architecture and treat gloss generation as a sequence labelling task.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 3 of its 10 references that are in the map. First posted on arXiv 24 Mar 2023.

Builds on

3 of 10 references.

References · 3

  1. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  2. 2020Byte Pair Encoding is Suboptimal for Language Model Pretrainingcited by 192
  3. 2022MicroBERT: Effective Training of Low-resource Monolingual BERTs through Parameter Reduction and Multitask Learningcited by 12

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 1; 2026: 1.

3 papers.

  1. 2024GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Textcited by 12
  2. 2025Prompt and circumstance: A word-by-word LLM prompting approach to interlinear glossing for low-resource languagescited by 1
  3. 2026CWoMP: Morpheme Representation Learning for Interlinear Glossingcited by 0