---
title: "Who cites Rafael E. Banchs"
description: "127 papers of the Elamur Research library cite the works of Rafael E. Banchs, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/rafael-e-banchs/cited-by/"
---
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# Who cites Rafael E. Banchs

128 citations of their works from 127 papers of our library (of the 140,884 whose bibliographies we read) · 6 with a page here, the most cited first · [← Rafael E. Banchs](https://md.research.elamur.ai/free/en/authors/rafael-e-banchs/)

1. [**Style Transfer in Text: Exploration and Evaluation**Zhenxin Fu, Xiaoye Tan, Nanyun Peng, et al.*2017 · 701 citations*](https://md.research.elamur.ai/free/en/papers/fu-2017-style-transfer-text-exploration-evaluation/)
2. [**Fast and Robust Neural Network Joint Models for Statistical Machine Translation**Jacob Devlin, Rabih Zbib, Zhongqiang Huang, et al.*2014 · 666 citations*](https://md.research.elamur.ai/free/en/papers/devlin-2014-fast-robust-neural-network-joint/)
3. [**Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation**Markus Freitag, George Foster, David Grangier, et al.*2021 · 660 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2021-experts-errors-context-large-scale/)
4. [**Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation**Tom Kocmi, Vilém Zouhar, Eleftherios Avramidis, et al.*2024 · 83 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2024-error-span-annotation-balanced-approach/)
5. [**Blast: A Tool for Error Analysis of Machine Translation Output**Sara Stymne*2011 · 81 citations*](https://md.research.elamur.ai/free/en/papers/stymne-2011-blast-tool-error-analysis-machine/)
6. [**XQ-MEval: A Dataset with Cross-lingual Parallel Quality for Benchmarking Translation Metrics**Jingxuan Liu, Zhi Qu, Jin Tei, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/liu-2026-xq-meval-dataset-cross-lingual/)

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

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