--- title: "Machine translation — papers, page 11" description: "Machine translation: 926 papers of the Elamur Research library · page 11 of 38 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/machine-translation/page/11/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/machine-translation/page/11/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Machine translation](https://md.research.elamur.ai/free/en/shelves/machine-translation/) / page 11 # 🌐 Machine translation 926 papers · page 11 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/10/) [1](https://md.research.elamur.ai/free/en/shelves/machine-translation/) … [10](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/10/) **11** [12](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/12/) … [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/12/) - [xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection](https://md.research.elamur.ai/free/en/papers/guerreiro-2024-xcomet-transparent-machine-translation-evaluation/) — Nuno M. Guerreiro, Ricardo Rei, Daan van Stigt, et al. · 2024 - [AMR-TST: Abstract Meaning Representation-based Text Style Transfer](https://md.research.elamur.ai/free/en/papers/shi-2023-amr-tst-abstract-meaning-representation/) — Kaize Shi, Xueyao Sun, Li He, et al. · 2023 - [Automatic Evaluation and Analysis of Idioms in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/baziotis-2023-automatic-evaluation-analysis-idioms-neural/) — Christos Baziotis, Prashant Mathur, Eva Hasler · 2023 - [Benchmarking Machine Translation with Cultural Awareness](https://md.research.elamur.ai/free/en/papers/yao-2023-benchmarking-machine-translation-cultural-awareness/) — Binwei Yao, Ming Jiang, Tara Bobinac, et al. · 2023 - [Biblical translation: do different strategies produce divergent texts?](https://md.research.elamur.ai/free/en/papers/bertos-2023-biblical-translation-do-different-strategies/) — Elena Serrano Bertos, Miguel Ángel Vega Cernuda · 2023 - [Bridging Semantic Frameworks: mapping DRS onto AMR](https://md.research.elamur.ai/free/en/papers/pavlova-2023-bridging-semantic-frameworks-mapping-drs/) — Siyana Pavlova, Maxime Amblard, Bruno Guillaume · 2023 - [ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages](https://md.research.elamur.ai/free/en/papers/robinson-2023-chatgpt-mt-competitive-high-but/) — Nathaniel Robinson, Perez Ogayo, David R. Mortensen, et al. · 2023 - [ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer](https://md.research.elamur.ai/free/en/papers/liu-2023-chatgpt-vs-human-authored-text/) — Dongqi Liu, Vera Demberg · 2023 - [Chinese Idiom Paraphrasing](https://md.research.elamur.ai/free/en/papers/qiang-2023-chinese-idiom-paraphrasing/) — Jipeng Qiang, Yang Li, Chaowei Zhang, et al. · 2023 - [Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and Concreteness](https://md.research.elamur.ai/free/en/papers/rawte-2023-exploring-relationship-between-llm-hallucinations/) — Vipula Rawte, Prachi Priya, S.M Towhidul Islam Tonmoy, et al. · 2023 - [FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN](https://md.research.elamur.ai/free/en/papers/agarwal-2023-findings-iwslt-2023-evaluation-campaign/) — Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, et al. · 2023 - [Findings of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23)](https://md.research.elamur.ai/free/en/papers/muller-2023-findings-second-wmt-shared-task/) — Mathias Müller, Malihe Alikhani, Eleftherios Avramidis, et al. · 2023 - [Findings of the WMT 2023 Shared Task on Low-Resource Indic Language Translation](https://md.research.elamur.ai/free/en/papers/pal-2023-findings-wmt-2023-shared-task/) — Santanu Pal, Partha Pakray, Sahinur Rahman Laskar, et al. · 2023 - [Findings of the WMT 2023 Shared Task on Quality Estimation](https://md.research.elamur.ai/free/en/papers/blain-2023-findings-wmt-2023-shared-task/) — Frederic Blain, Chrysoula Zerva, Ricardo Rei, et al. · 2023 - [FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation](https://md.research.elamur.ai/free/en/papers/riley-2023-frmt-benchmark-few-shot-region/) — Parker Riley, Timothy Dozat, Jan A. Botha, et al. · 2023 - [GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4](https://md.research.elamur.ai/free/en/papers/kocmi-2023-gemba-mqm-detecting-translation-quality/) — Tom Kocmi, Christian Federmann · 2023 - [Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing](https://md.research.elamur.ai/free/en/papers/jung-2023-impossible-distillation-low-quality-model/) — Jaehun Jung, Peter West, Liwei Jiang, et al. · 2023 - [Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist](https://md.research.elamur.ai/free/en/papers/karpinska-2023-large-language-models-effectively-leverage/) — Marzena Karpinska, Mohit Iyyer · 2023 - [LENS: A Learnable Evaluation Metric for Text Simplification](https://md.research.elamur.ai/free/en/papers/maddela-2023-lens-learnable-evaluation-metric-text/) — Mounica Maddela, Yao Dou, David Heineman, et al. · 2023 - [Mapping AMR to UMR: Resources for Adapting Existing Corpora for Cross-Lingual Compatibility](https://md.research.elamur.ai/free/en/papers/bonn-2023-mapping-amr-umr-resources-adapting/) — Julia Bonn, Skatje Myers, Jens E. L. Van Gysel, et al. · 2023 - [MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods](https://md.research.elamur.ai/free/en/papers/finkelstein-2023-mbr-qe-finetuning-training-time/) — Mara Finkelstein; Subhajit Naskar; Mehdi Mirzazadeh; Apurva Shah;, Markus Freitag · 2023 - [Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation](https://md.research.elamur.ai/free/en/papers/wein-2023-measuring-fine-grained-semantic-equivalence/) — Shira Wein, Zhuxin Wang, Nathan Schneider · 2023 - [MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/juraska-2023-metricx-23-google-submission-wmt/) — Juraj Juraska, Mara Finkelstein, Daniel Deutsch, et al. · 2023 - [On the Evaluation of Terminology Translation Errors in NMT and PB-SMT in the Legal Domain: a Study on the Translation of Arabic Legal Documents into English and French](https://md.research.elamur.ai/free/en/papers/elfqih-2023-evaluation-terminology-translation-errors-nmt/) — Khadija Ait ElFqih, Johanna Monti · 2023 - [ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation](https://md.research.elamur.ai/free/en/papers/huang-2023-paraamr-large-scale-syntactically-diverse/) — Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, et al. · 2023 [← prev](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/10/) [1](https://md.research.elamur.ai/free/en/shelves/machine-translation/) … [10](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/10/) **11** [12](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/12/) … [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/12/)