--- title: "Machine translation — papers, page 5" description: "Machine translation: 926 papers of the Elamur Research library · page 5 of 38 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/machine-translation/page/5/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/machine-translation/page/5/) [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 5 # 🌐 Machine translation 926 papers · page 5 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/4/) [1](https://md.research.elamur.ai/free/en/shelves/machine-translation/) … [4](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/4/) **5** [6](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/6/) … [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/6/) - [Lost in Translation: Repurposing semantic similarity benchmarks for evaluating lexical-semantic consistency in LLM-based machine translation](https://md.research.elamur.ai/free/en/papers/ye-2026-lost-translation-repurposing-semantic-similarity/) — Quin Ye, Jelke Bloem · 2026 - [Machine translation Evaluation Eng-Thai MQM Ranking dataset](https://md.research.elamur.ai/free/en/papers/phuangrot-2026-machine-translation-evaluation-eng-thai/) — Phichet Phuangrot, Natdanai Trintawat, Kanawat Vilasri, et al. · 2026 - [Making Jobs Accessible through AI-supported Easy Language Translation](https://md.research.elamur.ai/free/en/papers/merkel-2026-making-jobs-accessible-through-ai/) — Fabian Merkel, Marco Baumgartner, Athanasios Breskas, et al. · 2026 - [Mapudungun-Spanish Speech Translation: A Low-Resource End-to-End System for the IWSLT 2026 Shared Task](https://md.research.elamur.ai/free/en/papers/martinez-2026-mapudungun-spanish-speech-translation-low/) — Diego Alberto Barriga Martínez, Amilkar Gazque, Mikel Segura Elizalde, et al. · 2026 - [MaTIAS – Machine Translation to Inform Asylum Seekers: final results](https://md.research.elamur.ai/free/en/papers/wilde-2026-matias-machine-translation-inform-asylum/) — July De Wilde, Anaïs Wouters, Arda Tezcan, et al. · 2026 - [Meaning Over Morphology: A Multi-Metric Benchmark of LLMs for Bangla Dialect Translation](https://md.research.elamur.ai/free/en/papers/niloy-2026-meaning-over-morphology-multi-metric/) — Soumik Deb Niloy, Subhey Sadi Rahman, Mahbub E Sobhani, et al. · 2026 - [Meaning-Making Process and Error Dynamics in ChatGPT-Mediated Translation](https://md.research.elamur.ai/free/en/papers/mihalache-2026-meaning-making-process-error-dynamics/) — Iulia Mihalache, María-José Varela Salinas · 2026 - [Mimicking Neural Machine Translation History for Pedagogic Reasons](https://md.research.elamur.ai/free/en/papers/vandeghinste-2026-mimicking-neural-machine-translation-history/) — Vincent Vandeghinste · 2026 - [Mind the Gap... or Not? How Translation Errors and Evaluation Details Skew Multilingual Results](https://md.research.elamur.ai/free/en/papers/peter-2026-mind-gap-or-not-how/) — Jan-Thorsten Peter, David Vilar, Tobias Domhan, et al. · 2026 - [MLLP-VRAIN UPV System for the IWSLT 2026 Simultaneous Speech Translation Task](https://md.research.elamur.ai/free/en/papers/sanchez-2026-mllp-vrain-upv-system-iwslt/) — Jorge Iranzo-Sánchez, Gerard Mas-Mollà, Adrià Gimenez, et al. · 2026 - [Modelling Idiomatic Expressions in Abstract Meaning Representation](https://md.research.elamur.ai/free/en/papers/gareeva-2026-modelling-idiomatic-expressions-abstract-meaning/) — Venera Gareeva, Johannes Heinecke · 2026 - [Modular Neural Machine Translation with a Semantic Pivot - Pilot Study Using AMR](https://md.research.elamur.ai/free/en/papers/gao-2026-modular-neural-machine-translation-semantic/) — Wenyang Gao, Yaxuan Li, Yunxin Bao, et al. · 2026 - [MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation](https://md.research.elamur.ai/free/en/papers/riley-2026-mqm-re-annotation-technique-collaborative/) — Parker Riley, Daniel Deutsch, Mara Finkelstein, et al. · 2026 - [MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues](https://md.research.elamur.ai/free/en/papers/pan-2026-mt-video-bench-holistic-video/) — Yaning Pan, Qianqian Xie, Guohui Zhang, et al. · 2026 - [MTQE.en-he: Machine Translation Quality Estimation for English-Hebrew](https://md.research.elamur.ai/free/en/papers/rosenbaum-2026-mtqe-en-he-machine-translation/) — Andy Rosenbaum, Assaf Siani, Ilan Kernerman · 2026 - [Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese Translation](https://md.research.elamur.ai/free/en/papers/shen-2026-multi-agent-debate-machine-translation/) — Zhan Shen, Jason Naradowsky, Xiaotian Wang, et al. · 2026 - [Multilingual Communication in the Asylum Context: Evaluating LLM-Based Machine Translation with Fuzzy Match Augmentation and Adaptive NMT across Resource Conditions under Low-Data Constraints](https://md.research.elamur.ai/free/en/papers/moerman-2026-multilingual-communication-asylum-context-evaluating/) — Thomas Moerman, Arda Tezcan, Lieve Macken · 2026 - [Multilingual Long-Form Speech Instruction Following: KIT's Submission to IWSLT 2026](https://md.research.elamur.ai/free/en/papers/ugan-2026-multilingual-long-form-speech-instruction/) — Enes Yavuz Ugan, Maike Züfle, Yuka Ko, et al. · 2026 - [OasisSimp: An Open-source Asian-English Sentence Simplification Dataset](https://md.research.elamur.ai/free/en/papers/liu-2026-oasissimp-open-source-asian-english/) — Hannah Liu, Murphy Tian, Iqra Ali, et al. · 2026 - [On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation](https://md.research.elamur.ai/free/en/papers/wang-2026-temperature-constrained-non-deterministic-machine/) — Weichuan Wang, Mingyang Liu, Chen Ma, et al. · 2026 - [On the Use of LLMs for Specialised Terminology: A Good Alternative to Corpora?](https://md.research.elamur.ai/free/en/papers/minder-2026-use-llms-specialised-terminology-good/) — Joachim Minder, Guillaume Wisniewski, Natalie Kübler · 2026 - [One Size Does Not Fit All: Why EU Legislative Translation Demands Domain-Specific Fine-Tuning of LLMs](https://md.research.elamur.ai/free/en/papers/lorini-2026-one-size-does-not-fit/) — Valerio Lorini, Paula Vlaic, Ulascan Akbulut, et al. · 2026 - [OpenSubtitles2024: A Massively Parallel Dataset of Movie Subtitles for MT Development and Evaluation](https://md.research.elamur.ai/free/en/papers/tiedemann-2026-opensubtitles2024-massively-parallel-dataset-movie/) — Joerg Tiedemann, Hengyu Luo · 2026 - [ParaCLEAN: Improving Translation Quality through Systematic Parallel Data Cleaning](https://md.research.elamur.ai/free/en/papers/mash-2026-paraclean-improving-translation-quality-through/) — Audrey Mash, Ella Paulina Bohman, Maite Melero · 2026 - [Parallel Corpora of Scholarly Documents for English-French Machine Translation](https://md.research.elamur.ai/free/en/papers/peng-2026-parallel-corpora-scholarly-documents-english/) — Ziqian Peng, Lichao Zhu, Rachel Bawden, et al. · 2026 [← prev](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/4/) [1](https://md.research.elamur.ai/free/en/shelves/machine-translation/) … [4](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/4/) **5** [6](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/6/) … [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/6/)