lecslab/glosslm
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Multilingual IGT
A compilation of various sources of interlinear glossed text (IGT) across nearly two thousand languages in a standardized format.
Dataset Details
Dataset Description
- License: CC BY 4.0
Dataset Sources [optional]
- Repository: https://github.com/foltaProject/glosslm/settings
- Paper [optional]: Coming soon...
Direct Use
- Training models for IGT generation
- Linguistic analysis of IGT across languages
- Use of IGT in downstream applications such as machine translation
Dataset Structure
[More Information Needed]
Dataset Creation
Source Data
- IMTVault 1.1 (https://imtvault.org)
- ODIN (http://depts.washington.edu/uwcl/odin/)
- APiCS (https://apics-online.info)
- UraTyp (https://uralic.clld.org)
- Guarani Corpus (https://guaranicorpus.usc.edu)
- 2023 SIGMORPHON Shared Task (https://github.com/sigmorphon/2023GlossingST)
Data Collection and Processing
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Who are the source data producers?
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Annotations [optional]
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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Bias, Risks, and Limitations
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Recommendations
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Citation [optional]
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Glossary [optional]
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