mt-dspec-health-en-cy

English-to-Welsh translation model specialised for the health and care domain, built using Marian NMT.

Installation

pip install sentencepiece transformers

Usage

import transformers

model_id = "techiaith/mt-dspec-health-en-cy"
tokenizer = transformers.AutoTokenizer.from_pretrained(model_id)
model = transformers.AutoModelForSeq2SeqLM.from_pretrained(model_id)
translate = transformers.pipeline("translation", model=model, tokenizer=tokenizer)

result = translate("The patient has a headache.")
print(result[0]["translation_text"])
# Mae gan y claf gur pen.

Training Data

UK Government Legislation data
OPUS-cy-en corpus
Cofnod y Cynulliad (Welsh Assembly Records)
Cofion Techiaith Cymru

Evaluation

Metric	Score
SacreBLEU	54.16
CER	0.31
WER	0.47
CHRF	69.03

Version History

2026-02-26: Re-converted with weight tying fix. The previous version required transformers<=4.30.2 due to issue #26271. This version works with all transformers versions.

License

Apache 2.0

Downloads last month: 51

Safetensors

Model size

69.8M params

Tensor type

F16

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