---
title: "Who cites Linguistically Motivated Evaluation of the 2022…"
description: "The papers of the Elamur Research library that cite «Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for…"
canonical: "https://research.elamur.ai/free/en/papers/macketanz-2022-linguistically-motivated-evaluation-2022-state/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/macketanz-2022-linguistically-motivated-evaluation-2022-state/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Linguistically Motivated Evaluation of the 2022…](https://md.research.elamur.ai/free/en/papers/macketanz-2022-linguistically-motivated-evaluation-2022-state/) / cited by

# Who cites «Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language Directions»

8 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/macketanz-2022-linguistically-motivated-evaluation-2022-state/)

1. [A Fine-Grained Linguistic Evaluation of Low-Resource Luxembourgish–English MT](https://aclanthology.org/2026.loresmt-1.12/) *— 2026 · Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026)*
2. [Fine-Grained Evaluation of English-Russian MT in 2025: Linguistic Challenges Mirroring Human Translator Training](https://aclanthology.org/2025.wmt-1.61/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
3. [Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets](https://aclanthology.org/2025.cl-1.4/) *— 2025 · Computational Linguistics*
4. [How Grammatical Features Impact Machine Translation: A New Test Suite for Chinese-English MT Evaluation](https://aclanthology.org/2024.wmt-1.117/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
5. [Investigating the Linguistic Performance of Large Language Models in Machine Translation](https://aclanthology.org/2024.wmt-1.28/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
6. [Machine Translation Metrics Are Better in Evaluating Linguistic Errors on LLMs than on Encoder-Decoder Systems](https://aclanthology.org/2024.wmt-1.37/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
7. [Challenging the State-of-the-art Machine Translation Metrics from a Linguistic Perspective](https://aclanthology.org/2023.wmt-1.58/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
8. [Linguistically Motivated Evaluation of the 2023 State-of-the-art Machine Translation: Can ChatGPT Outperform NMT?](https://aclanthology.org/2023.wmt-1.23/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*