English-Hungarian Qualtiy Estimation with finetuned XLM-RoBERTa model
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- Pretrained model used: XLM-RoBERTa base
- Finetuned on HuQ corpus
- Labels: regression model
- Separator: <sep>
Limitations
- max_seq_length = 256
- input format: {src_en_sentence} <sep> {tgt_hu_sentence}
Results
10-fold cross validation on HuQ corpus
| Model | Correlation | MAE | RMSE |
|---|---|---|---|
| baseline | 0.6100 | 0.7459 | 0.9775 |
| XLM-R | 0.7948 | 0.6451 | 0.8898 |
Citation
If you use this model, please cite the following paper:
@article{yang-rl,
title = {Enhancing Machine Translation with Quality Estimation and Reinforcement Learning},
journal = {Annales Mathematicae et Informaticae},
year = {2023},
author = {Yang, Zijian Győző and Laki, László János},
pages = {Accepted}
}