# Fine-grained evaluation of Quality Estimation for Machine translation based on a linguistically-motivated Test Suite

arXiv: https://arxiv.org/abs/1910.07468 · HTML: https://mlsanity.com/paper/1910.07468/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Oct 2019.

## Built on by (most cited first, 2 of 2)

- [ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics](https://mlsanity.com/paper/2210.15615/) (2022)
- [Multi-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for Korean](https://mlsanity.com/paper/2403.12666/) (2024)

## Abstract (arXiv)

We present an alternative method of evaluating Quality Estimation systems, which is based on a linguistically-motivated Test Suite. We create a test-set consisting of 14 linguistic error categories and we gather for each of them a set of samples with both correct and erroneous translations. Then, we measure the performance of 5 Quality Estimation systems by checking their ability to distinguish between the correct and the erroneous translations. The detailed results are much more informative about the ability of each system. The fact that different Quality Estimation systems perform differently at various phenomena confirms the usefulness of the Test Suite.