---
license: mit
language:
- he
- en
base_model:
- FacebookAI/xlm-roberta-large
pipeline_tag: translation
tags:
- quality_estimation
---

Using the DCSQE framework with the WMT2023 parallel corpus to generate synthetic data for pretraining a model, implemented with the Fairseq framework.

For a detailed description of the DCSQE framework, please refer to the paper: <br/>
 [Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation](https://huggingface.co/papers/2502.19941)