AiLab-IMCS-UL/lv_ud2.17_lv-deberta-base

Latvian morphosyntactic parser

This model is a Latvian joint morphosyntactic parser based on AiLab-IMCS-UL/lv-deberta-base. It predicts UPOS, XPOS, morphological features, lemmas, dependency heads, and dependency relations in a unified multi-task architecture.

The model was trained and evaluated on the Latvian Universal Dependencies Treebank from UD v2.17.

For more details, see the accompanying paper and the GitHub repository: https://github.com/LUMII-AILab/lvnlp.

Citation

@inproceedings{znotins-2026-improving,
  title = {Improving Latvian Morphosyntactic Parsing with Pretrained Encoders and Analyzer-Constrained Decoding},
  author = {Znotins, Arturs},
  booktitle = {Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026)},
  month = {May},
  year = {2026},
  pages = {11724--11734},
  address = {Palma, Mallorca, Spain},
  publisher = {European Language Resources Association (ELRA)},
  editor = {Piperidis, Stelios and Bel, Núria and van den Heuvel, Henk and Ide, Nancy and Krek, Simon and Toral, Antonio},
  doi = {10.63317/5khpzsaiqrzw},
  url = {https://lrec.elra.info/lrec2026-main-918}
}

Acknowledgements

This work was supported by the EU Recovery and Resilience Facility project Language Technology Initiative (2.3.1.1.i.0/1/22/I/CFLA/002).