Who cites «Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language Directions»
- A Fine-Grained Linguistic Evaluation of Low-Resource Luxembourgish–English MT — 2026 · Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026)
- Fine-Grained Evaluation of English-Russian MT in 2025: Linguistic Challenges Mirroring Human Translator Training — 2025 · Proceedings of the Tenth Conference on Machine Translation
- Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets — 2025 · Computational Linguistics
- How Grammatical Features Impact Machine Translation: A New Test Suite for Chinese-English MT Evaluation — 2024 · Proceedings of the Ninth Conference on Machine Translation
- Investigating the Linguistic Performance of Large Language Models in Machine Translation — 2024 · Proceedings of the Ninth Conference on Machine Translation
- Machine Translation Metrics Are Better in Evaluating Linguistic Errors on LLMs than on Encoder-Decoder Systems — 2024 · Proceedings of the Ninth Conference on Machine Translation
- Challenging the State-of-the-art Machine Translation Metrics from a Linguistic Perspective — 2023 · Proceedings of the Eighth Conference on Machine Translation
- Linguistically Motivated Evaluation of the 2023 State-of-the-art Machine Translation: Can ChatGPT Outperform NMT? — 2023 · Proceedings of the Eighth Conference on Machine Translation
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