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title: "Machine translation — papers, page 14"
description: "Machine translation: 926 papers of the Elamur Research library · page 14 of 38 — our summary of each, its ideas, references and who cites it."
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# 🌐 Machine translation

926 papers · page 14 of 38 · newest first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Interlingua and transfer, rule-based and statistical MT, tree-to-tree, style transfer and how translation is measured.

[← prev](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/13/) [1](https://md.research.elamur.ai/free/en/shelves/machine-translation/) … [13](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/13/) **14** [15](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/15/) … [38](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/38/) [next →](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/15/)

- [Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation](https://md.research.elamur.ai/free/en/papers/freitag-2021-experts-errors-context-large-scale/) — Markus Freitag, George Foster, David Grangier, et al. · 2021
- [Facebook AI's WMT21 News Translation Task Submission](https://md.research.elamur.ai/free/en/papers/tran-2021-facebook-ai-s-wmt21-news/) — Chau Tran, Shruti Bhosale, James Cross, et al. · 2021
- [Findings of the 2021 Conference on Machine Translation (WMT21)](https://md.research.elamur.ai/free/en/papers/akhbardeh-2021-findings-2021-conference-machine-translation/) — Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, et al. · 2021
- [Findings of the WMT 2021 Shared Task on Quality Estimation](https://md.research.elamur.ai/free/en/papers/specia-2021-findings-wmt-2021-shared-task/) — Lucia Specia, Frédéric Blain, Marina Fomicheva, et al. · 2021
- [Grammar-Based Concept Alignment for Domain-Specific Machine Translation](https://md.research.elamur.ai/free/en/papers/masciolini-2021-grammar-based-concept-alignment-domain/) — Arianna Masciolini, Aarne Ranta · 2021
- [Investigating Pretrained Language Models for Graph-to-Text Generation](https://md.research.elamur.ai/free/en/papers/ribeiro-2021-investigating-pretrained-language-models-graph/) — Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, et al. · 2021
- [Learning Compact Metrics for MT](https://md.research.elamur.ai/free/en/papers/pu-2021-learning-compact-metrics-mt/) — Amy Pu, Hyung Won Chung, Ankur Parikh, et al. · 2021
- [Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer](https://md.research.elamur.ai/free/en/papers/qi-2021-mind-style-text-adversarial-backdoor/) — Fanchao Qi, Yangyi Chen, Xurui Zhang, et al. · 2021
- [Paragraph-level Simplification of Medical Texts](https://md.research.elamur.ai/free/en/papers/devaraj-2021-paragraph-level-simplification-medical-texts/) — Ashwin Devaraj, Iain Marshall, Byron Wallace, et al. · 2021
- [Referenceless Parsing-Based Evaluation of AMR-to-English Generation](https://md.research.elamur.ai/free/en/papers/manning-2021-referenceless-parsing-based-evaluation-amr/) — Emma Manning, Nathan Schneider · 2021
- [Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain](https://md.research.elamur.ai/free/en/papers/freitag-2021-results-wmt21-metrics-shared-task/) — Markus Freitag, Ricardo Rei, Nitika Mathur, et al. · 2021
- [Text Generation from Discourse Representation Structures](https://md.research.elamur.ai/free/en/papers/liu-2021-text-generation-discourse-representation-structures/) — Jiangming Liu, Shay B. Cohen, Mirella Lapata · 2021
- [The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification](https://md.research.elamur.ai/free/en/papers/manchego-2021-un-suitability-automatic-evaluation-metrics/) — Fernando Alva-Manchego, Carolina Scarton, Lucia Specia · 2021
- [Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR](https://md.research.elamur.ai/free/en/papers/opitz-2021-decomposable-metric-explainable-evaluation-text/) — Juri Opitz, Anette Frank · 2021
- [Weisfeiler-Leman in the Bamboo: Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity](https://md.research.elamur.ai/free/en/papers/opitz-2021-weisfeiler-leman-bamboo-novel-amr/) — Juri Opitz, Angel Daza, Anette Frank · 2021
- [A Human Evaluation of AMR-to-English Generation Systems](https://md.research.elamur.ai/free/en/papers/manning-2020-human-evaluation-amr-english-generation/) — Emma Manning, Shira Wein, Nathan Schneider · 2020
- [A Survey of Qualitative Error Analysis for Neural Machine Translation Systems](https://md.research.elamur.ai/free/en/papers/diaz-2020-survey-qualitative-error-analysis-neural/) — Denise Díaz, James Cross, Vishrav Chaudhary, et al. · 2020
- [Abstract Syntax as Interlingua: Scaling Up the Grammatical Framework from Controlled Languages to Robust Pipelines](https://md.research.elamur.ai/free/en/papers/ranta-2020-abstract-syntax-as-interlingua-scaling/) — Aarne Ranta, Krasimir Angelov, Normunds Gruzitis, et al. · 2020
- [AMR Parsing via Graph-Sequence Iterative Inference](https://md.research.elamur.ai/free/en/papers/cai-2020-amr-parsing-graph-sequence-iterative/) — Deng Cai, Wai Lam · 2020
- [AMR-To-Text Generation with Graph Transformer](https://md.research.elamur.ai/free/en/papers/wang-2020-amr-text-generation-graph-transformer/) — Tianming Wang, Xiaojun Wan, Hanqi Jin · 2020
- [ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations](https://md.research.elamur.ai/free/en/papers/manchego-2020-asset-dataset-tuning-evaluation-sentence/) — Fernando Alva-Manchego, Louis Martin, Antoine Bordes, et al. · 2020
- [Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing](https://md.research.elamur.ai/free/en/papers/thompson-2020-automatic-machine-translation-evaluation-many/) — Brian Thompson, Matt Post · 2020
- [Bifixer and Bicleaner: two open-source tools to clean your parallel data](https://md.research.elamur.ai/free/en/papers/sanchez-2020-bifixer-bicleaner-two-open-source/) — Gema Ramírez-Sánchez, Jaume Zaragoza-Bernabeu, Marta Bañón, et al. · 2020
- [BLEU might be Guilty but References are not Innocent](https://md.research.elamur.ai/free/en/papers/freitag-2020-bleu-might-be-guilty-but/) — Markus Freitag, David Grangier, Isaac Caswell · 2020
- [COMET: A Neural Framework for MT Evaluation](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/) — Ricardo Rei, Craig Stewart, Ana C Farinha, et al. · 2020

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