---
title: "Who cites António V. Lopes"
description: "142 papers of the Elamur Research library cite the works of António V. Lopes, found in their bibliographies; the most cited first."
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---
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# Who cites António V. Lopes

143 citations of their works from 142 papers of our library (of the 140,884 whose bibliographies we read) · 11 with a page here, the most cited first · [← António V. Lopes](https://md.research.elamur.ai/free/en/authors/antonio-v-lopes/)

1. [**COMET: A Neural Framework for MT Evaluation**Ricardo Rei, Craig Stewart, Ana C Farinha, et al.*2020 · 1,784 citations*](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/)
2. [**Findings of the 2020 Conference on Machine Translation (WMT20)**Loïc Barrault, Magdalena Biesialska, Ondřej Bojar, et al.*2020 · 401 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2020-findings-2020-conference-machine-translation/)
3. [**OpenKiwi: An Open Source Framework for Quality Estimation**Fabio Kepler, Jonay Trénous, Marcos Treviso, et al.*2019 · 215 citations*](https://md.research.elamur.ai/free/en/papers/kepler-2019-openkiwi-open-source-framework-quality/)
4. [**Findings of the WMT 2020 Shared Task on Quality Estimation**Lucia Specia, Frédéric Blain, Marina Fomicheva, et al.*2020 · 160 citations*](https://md.research.elamur.ai/free/en/papers/specia-2020-findings-wmt-2020-shared-task-2020-wmt-1-79/)
5. [**Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist**Marzena Karpinska, Mohit Iyyer*2023 · 156 citations*](https://md.research.elamur.ai/free/en/papers/karpinska-2023-large-language-models-effectively-leverage/)
6. [**Unbabel's Participation in the WMT20 Metrics Shared Task**Ricardo Rei, Craig Stewart, Ana C Farinha, et al.*2020 · 98 citations*](https://md.research.elamur.ai/free/en/papers/rei-2020-unbabel-s-participation-wmt20-metrics/)
7. [**Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric into a Document-Level Metric**Giorgos Vernikos, Brian Thompson, Prashant Mathur, et al.*2022 · 68 citations*](https://md.research.elamur.ai/free/en/papers/vernikos-2022-embarrassingly-easy-document-level-mt/)
8. [**DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence**Wei Zhao, Michael Strube, Steffen Eger*2023 · 53 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-discoscore-evaluating-text-generation-bert/)
9. [**Findings of the WMT 2020 Shared Task on Chat Translation**M. Amin Farajian, António V. Lopes, André F. T. Martins, et al.*2020 · 29 citations*](https://md.research.elamur.ai/free/en/papers/farajian-2020-findings-wmt-2020-shared-task/)
10. [**The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform**Panagiotis Tsolakis, Ziqian Peng, Laurent Romary, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tsolakis-2026-matos-pipeline-translation-scientific-abstracts/)
11. [**Survey on Document-level Neural Machine Translation (文档级神经机器翻译综述)**Xinglin Lv (吕星林), Junhui Li (李军辉), Shimin Tao (陶仕敏), et al.*2024*](https://md.research.elamur.ai/free/en/papers/lv-2024-document-level-neural/)

131 more citing papers of our library have no page here yet.

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