---
title: "Who cites A Simple and Effective Unified — 63 citing papers"
description: "63 papers of the Elamur Research library cite «A Simple and Effective Unified Encoder for Document-Level Machine Translation», found in their…"
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# Who cites «A Simple and Effective Unified Encoder for Document-Level Machine Translation»

63 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «A Simple and Effective Unified Encoder for Document-Level Machine Translation»](https://md.research.elamur.ai/free/en/papers/ma-2020-simple-effective-unified-encoder-document/)

1. **[G-Transformer for Document-Level Machine Translation](https://md.research.elamur.ai/free/en/papers/bao-2021-g-transformer-document-level-machine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guangsheng Bao, Yue Zhang, Zhiyang Teng, et al.*2021 · 109 citations*
2. **[Rethinking Document-level Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/sun-2022-rethinking-document-level-neural-machine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zewei Sun, Mingxuan Wang, Hao Zhou, et al.*2022 · 107 citations*
3. **[GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation](https://md.research.elamur.ai/free/en/papers/xu-2022-guofeng-benchmark-zero-pronoun-recovery/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mingzhou Xu, Longyue Wang, Derek F. Wong, et al.*2022 · 18 citations*
4. **[Survey on Document-level Neural Machine Translation (文档级神经机器翻译综述)](https://md.research.elamur.ai/free/en/papers/lv-2024-document-level-neural/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Xinglin Lv (吕星林), Junhui Li (李军辉), Shimin Tao (陶仕敏), et al.*2024*

59 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/ma-2020-simple-effective-unified-encoder-document/) — A Simple and Effective Unified Encoder for Document-Level Machine Translation