CLMar 24, 2023

SIGMORPHON 2023 Shared Task of Interlinear Glossing: Baseline Model

arXiv:2303.14234v19 citationsh-index: 5
Originality Synthesis-oriented
AI Analysis

This is an incremental baseline model for a shared task aimed at assisting linguists in language preservation by reducing annotator effort.

The paper tackled the problem of automating Interlinear Glossed Text (IGT) generation for language documentation by using a transformer-based sequence labeling model as a baseline system, but no concrete results or numbers are provided.

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.

Code Implementations1 repo
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