NLLB-600M Adja -> French

This is the thesis-final Adja-to-French machine translation checkpoint for the May 2026 CS thesis release. It is the reverse-direction companion to the French-to-Adja NLLB model.

Thesis Role

This model is the reverse MT artifact: Adja source text to French target text. It is used for Adja text interpretation, reverse translation checks, and the speech-pipeline experiments where ASR output is translated into French.

Model And Data

  • Task: machine translation, Adja -> French
  • Base model: facebook/nllb-200-distilled-600M
  • Direction: aj_Latn -> fra_Latn
  • Training data: French-Adja thesis corpus lineage, with the public canonical MT reference at JosueG/french-adja-parallel-corpus
  • Release repo: FrejusGdm/cs-thesis-may-2026

Headline Result

This seed-42 NLLB-600M checkpoint is the public reverse-direction MT weight location for the thesis. It is the intended model to pair with Adja ASR when building Adja speech -> French text pipelines.

See:

  • results/mt/summary/all_results.csv
  • results/adja-nmt/pipeline-comparison.md

Limitations

  • The model should be treated as a research artifact, not a production translator.
  • ASR noise compounds MT errors in speech pipelines.
  • The model uses the release tokenizer/config; load this repo directly so the Adja language token and generation settings match the checkpoint.

Citation

If you use this model, cite:

Josue Godeme. 2026. CS Thesis May 2026: French-Adja MT and Adja Speech Experiments. https://github.com/FrejusGdm/cs-thesis-may-2026

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