This is the thesis-final French-to-Adja machine translation checkpoint for the
May 2026 CS thesis release. It is one of the two NLLB models used to make the
French-Adja MT work inspectable and reproducible.
Thesis Role
This model is the forward MT artifact: French source text to Adja target text.
It supports the thesis experiments on grammar-guided dataset construction,
low-resource NMT fine-tuning, and the speech-to-text-to-speech pipeline.
Model And Data
Task: machine translation, French -> Adja
Base model:facebook/nllb-200-distilled-600M
Direction:fra_Latn -> aj_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
The seed-42 NLLB-600M full/module runs are the strongest MT baseline in the
release. The public GitHub result tables report about 21-22 BLEU and 29 chrF
on the held-out MT evaluation for the full-corpus NLLB setting.
See:
results/mt/summary/all_results.csv
results/mt/README_thesis_qualitative_decode.md
Limitations
Adja remains low-resource; outputs should be reviewed before community,
educational, or publication use.
Metrics are sensitive to corpus split, normalization, and reference coverage.
The model uses the release tokenizer/config; load this repo directly so the
Adja language token and generation settings match the checkpoint.
