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title: "Machine translation — papers, page 10"
description: "Machine translation: 949 papers of the Elamur Research library · page 10 of 11 · 826–925 — our summary of each, its ideas, references and who cites it."
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# 🌐 Machine translation

949 papers · page 10 of 11 · 826–925 · the most cited 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.

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826. [**Evaluating LLM Style Transfer Through Readability-Based Age Assessments**Maria Di Maro, Antonio Origlia, Leonilda Bilo, et al.*2026*](https://md.research.elamur.ai/free/en/papers/maro-2026-evaluating-llm-style-transfer-through/)
827. [**Evaluating Native-Speaker Preferences on Machine Translation and Post-Edits for Five African Languages**Hiba El Oirghi, Tajuddeen Gwadabe, Marine Carpuat*2026*](https://md.research.elamur.ai/free/en/papers/oirghi-2026-evaluating-native-speaker-preferences-machine/)
828. [**Evaluating Small Language Models for English-to-Portuguese Translation: Impact of Model Scale and Quantization**Gustavo Lopes Tamiosso, Rafael Oleques Nunes, Dennis Giovani Balreira*2026*](https://md.research.elamur.ai/free/en/papers/tamiosso-2026-evaluating-small-language-models-english/)
829. [**Evaluation of Document-Level Text Simplification in Japanese**Iori Yamashita, Hikari Tanaka, Hajime Kiyama, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yamashita-2026-evaluation-document-level-text-simplification/)
830. [**Evaluation of Multilingual Text Simplification for the Mental Health Domain: Exploring Small Language Models**Olga Pelloni, Sandra Just, Lars Bongo*2026*](https://md.research.elamur.ai/free/en/papers/pelloni-2026-evaluation-multilingual-text-simplification-mental/)
831. [**Exploring Cognitively Informed Sentence Simplification with Gaze-Guided Text Generation**Andreas Säuberli, Diego Frassinelli, Barbara Plank*2026*](https://md.research.elamur.ai/free/en/papers/sauberli-2026-exploring-cognitively-informed-sentence-simplification/)
832. [**Extending Creativity: Large Language Models and the Practice of Poetry Translation**Natalia Resende, James Hadley*2026*](https://md.research.elamur.ai/free/en/papers/resende-2026-extending-creativity-large-language-models/)
833. [**From Form to Meaning: Interlingua Sense-Alignment of Offensive Language with LLMs**Maria Alexandra Roussopoulou, Stella Markantonatou*2026*](https://md.research.elamur.ai/free/en/papers/roussopoulou-2026-form-meaning-interlingua-sense-alignment/)
834. [**From Graph to Text and Back: Semantic Fidelity in Automated Industrial Knowledge Graphs**Kamyar Zeinalipour, Silvia Severini, Alessia Borghini, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zeinalipour-2026-graph-text-back-semantic-fidelity/)
835. [**From Insights to Impact: Actionable Interpretability for Neural Machine Translation**Gabriele Sarti*2026*](https://md.research.elamur.ai/free/en/papers/sarti-2026-insights-impact-actionable-interpretability-neural/)
836. [**From Syntax to Semantics: Introducing UMR for NLP Annotation**Adriana S. Pagano, Magali Sanches Duran, Federica Gamba*2026*](https://md.research.elamur.ai/free/en/papers/pagano-2026-syntax-semantics-introducing-umr-nlp/)
837. [**HCMUS_The Fangs at AbjadStyleTransfer Shared Task: Learning to Query Style, Contrastive Representations for Zero-Shot Arabic Authorship Style Transfer**Duy Minh Dao Sy, Trung Kiet Huynh, Nguyen Chi Tran, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sy-2026-hcmus-fangs-abjadstyletransfer-shared-task/)
838. [**HERMeS: Human Evaluation & Ranking of MultiplE Systems**Rex Vanhorn*2026*](https://md.research.elamur.ai/free/en/papers/vanhorn-2026-hermes-human-evaluation-ranking-multiple/)
839. [**KinyCOMET: Automatic Evaluation of Machine Translation Systems for Kinyarwanda–English**Prince Chris Mazimpaka, Jan Nehring, Samuel Rutunda, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mazimpaka-2026-kinycomet-automatic-evaluation-machine-translation/)
840. [**LegalSim-PT: Building a Dataset for Legal Document Simplification in Portuguese Leveraging Linguistic Metrics**Arthur Scalercio, Maria José Finatto, Aline Paes*2026*](https://md.research.elamur.ai/free/en/papers/scalercio-2026-legalsim-pt-building-dataset-legal/)
841. [**Lexical and Syntactic Diversity: Still Lost in Machine Translation?**Lise Volkart, Pierrette Bouillon*2026*](https://md.research.elamur.ai/free/en/papers/volkart-2026-lexical-syntactic-diversity-still-lost/)
842. [**LLM-as-a-Jury for Machine Translation Publishability Assessment**Alex Yanishevsky, Olivia Norris*2026*](https://md.research.elamur.ai/free/en/papers/yanishevsky-2026-llm-as-jury-machine-translation/)
843. [**LLMs as Translator Training Partners: A Multi-Agent Approach**Ming Qian, Luyi Yang*2026*](https://md.research.elamur.ai/free/en/papers/qian-2026-llms-as-translator-training-partners/)
844. [**LocRegen: Cost-Efficient Redundancy Removal in Multilingual E-commerce Titles with Small Language Models**Bryan Zhang, Stephan Walter, Luca Lomanto, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-locregen-cost-efficient-redundancy-removal/)
845. [**LoRA Fine-Tuning of English–Norwegian NMT for the Oil & Gas Industry**Xiaojing Yang, Zhihan Li, Gege Sun, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-lora-fine-tuning-english-norwegian/)
846. [**LoResMT 2026 Shared Task System Description**Vladimir Panov*2026*](https://md.research.elamur.ai/free/en/papers/panov-2026-loresmt-2026-shared-task-system/)
847. [**Lost in Translation: Repurposing semantic similarity benchmarks for evaluating lexical-semantic consistency in LLM-based machine translation**Quin Ye, Jelke Bloem*2026*](https://md.research.elamur.ai/free/en/papers/ye-2026-lost-translation-repurposing-semantic-similarity/)
848. [**Machine translation Evaluation Eng-Thai MQM Ranking dataset**Phichet Phuangrot, Natdanai Trintawat, Kanawat Vilasri, et al.*2026*](https://md.research.elamur.ai/free/en/papers/phuangrot-2026-machine-translation-evaluation-eng-thai/)
849. [**Making Jobs Accessible through AI-supported Easy Language Translation**Fabian Merkel, Marco Baumgartner, Athanasios Breskas, et al.*2026*](https://md.research.elamur.ai/free/en/papers/merkel-2026-making-jobs-accessible-through-ai/)
850. [**MaTIAS – Machine Translation to Inform Asylum Seekers: final results**July De Wilde, Anaïs Wouters, Arda Tezcan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wilde-2026-matias-machine-translation-inform-asylum/)
851. [**Meaning Over Morphology: A Multi-Metric Benchmark of LLMs for Bangla Dialect Translation**Soumik Deb Niloy, Subhey Sadi Rahman, Mahbub E Sobhani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/niloy-2026-meaning-over-morphology-multi-metric/)
852. [**Meaning-Making Process and Error Dynamics in ChatGPT-Mediated Translation**Iulia Mihalache, María-José Varela Salinas*2026*](https://md.research.elamur.ai/free/en/papers/mihalache-2026-meaning-making-process-error-dynamics/)
853. [**Mimicking Neural Machine Translation History for Pedagogic Reasons**Vincent Vandeghinste*2026*](https://md.research.elamur.ai/free/en/papers/vandeghinste-2026-mimicking-neural-machine-translation-history/)
854. [**Modelling Idiomatic Expressions in Abstract Meaning Representation**Venera Gareeva, Johannes Heinecke*2026*](https://md.research.elamur.ai/free/en/papers/gareeva-2026-modelling-idiomatic-expressions-abstract-meaning/)
855. [**Modular Neural Machine Translation with a Semantic Pivot - Pilot Study Using AMR**Wenyang Gao, Yaxuan Li, Yunxin Bao, et al.*2026*](https://md.research.elamur.ai/free/en/papers/gao-2026-modular-neural-machine-translation-semantic/)
856. [**MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation**Parker Riley, Daniel Deutsch, Mara Finkelstein, et al.*2026*](https://md.research.elamur.ai/free/en/papers/riley-2026-mqm-re-annotation-technique-collaborative/)
857. [**MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues**Yaning Pan, Qianqian Xie, Guohui Zhang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pan-2026-mt-video-bench-holistic-video/)
858. [**Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese Translation**Zhan Shen, Jason Naradowsky, Xiaotian Wang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shen-2026-multi-agent-debate-machine-translation/)
859. [**OasisSimp: An Open-source Asian-English Sentence Simplification Dataset**Hannah Liu, Murphy Tian, Iqra Ali, et al.*2026*](https://md.research.elamur.ai/free/en/papers/liu-2026-oasissimp-open-source-asian-english/)
860. [**On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation**Weichuan Wang, Mingyang Liu, Chen Ma, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-temperature-constrained-non-deterministic-machine/)
861. [**On the Use of LLMs for Specialised Terminology: A Good Alternative to Corpora?**Joachim Minder, Guillaume Wisniewski, Natalie Kübler*2026*](https://md.research.elamur.ai/free/en/papers/minder-2026-use-llms-specialised-terminology-good/)
862. [**One Size Does Not Fit All: Why EU Legislative Translation Demands Domain-Specific Fine-Tuning of LLMs**Valerio Lorini, Paula Vlaic, Ulascan Akbulut, et al.*2026*](https://md.research.elamur.ai/free/en/papers/lorini-2026-one-size-does-not-fit/)
863. [**OpenSubtitles2024: A Massively Parallel Dataset of Movie Subtitles for MT Development and Evaluation**Joerg Tiedemann, Hengyu Luo*2026*](https://md.research.elamur.ai/free/en/papers/tiedemann-2026-opensubtitles2024-massively-parallel-dataset-movie/)
864. [**ParaCLEAN: Improving Translation Quality through Systematic Parallel Data Cleaning**Audrey Mash, Ella Paulina Bohman, Maite Melero*2026*](https://md.research.elamur.ai/free/en/papers/mash-2026-paraclean-improving-translation-quality-through/)
865. [**Parallel Corpus Filtering Based on Semantic Similarity and Surface Dissimilarity for Japanese Text Simplification with LLMs**Daisuke Maekawa, Tomoyuki Kajiwara, Takashi Ninomiya*2026*](https://md.research.elamur.ai/free/en/papers/maekawa-2026-parallel-corpus-filtering-based-semantic/)
866. [**Paraphrasing as Zero-shot Translation with Feature-guided Diversity Enhancement**Ziyue Yan, Hongying Zan, Xinglin Lyu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yan-2026-paraphrasing-as-zero-shot-translation/)
867. [**PEI at #SMM4H-HeaRD 2026: Enhancing Patient Metadata Detection via Hypothesis-Conditioned Classification and Paraphrase-Based Data Augmentation**Farnaz Zeidi, Roman Christof, Farnoush Zeidi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zeidi-2026-pei-smm4h-heard-2026-enhancing/)
868. [**Predict and Fix: A Unified Model for Translation Quality Estimation and Post-Editing**Maciej Modrzejewski, Yash Bhaskar, Chinmay Pateria*2026*](https://md.research.elamur.ai/free/en/papers/modrzejewski-2026-predict-fix-unified-model-translation/)
869. [**Proficiency-Controlled Text Simplification in European Portuguese: A Preliminary Study using Prompting Approaches**Eugénio Ribeiro, David Antunes, Nuno Mamede, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ribeiro-2026-proficiency-controlled-text-simplification-european/)
870. [**Quality and Comprehensibility of Interlingual Subtitles Produced by Humans or with Machines**Lara Shoana Schlüter, Ekaterina Lapshinova-Koltunski, Sylvia Jaki*2026*](https://md.research.elamur.ai/free/en/papers/schluter-2026-quality-comprehensibility-interlingual-subtitles-produced/)
871. [**Quantifying the Impact of Translation Errors on Multilingual LLM Evaluation**Klaudia Thellmann, Bernhard Stadler, Michael Färber, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thellmann-2026-quantifying-impact-translation-errors-multilingual/)
872. [**Reasoning About Gender: How Source Text Strategies Impact Italian–to-German Machine Translation Beyond the Binary**Paolo Di Natale, Laura Schlutter, Elena Chiocchetti, et al.*2026*](https://md.research.elamur.ai/free/en/papers/natale-2026-reasoning-about-gender-how-source/)
873. [**Reasoning as Supportive Context for Machine Translation: A Case Study on Hindi to Bengali Language Pair**Kshetrimayum Boynao Singh, Saksham Singh, Partha Pakray, et al.*2026*](https://md.research.elamur.ai/free/en/papers/singh-2026-reasoning-as-supportive-context-machine/)
874. [**Redefining Machine Simultaneous Interpretation: From Incremental Translation to Human-Like Strategies**Qianen Zhang, Zeyu Yang, Satoshi Nakamura*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-redefining-machine-simultaneous-interpretation-incremental/)
875. [**Rethinking Gender Annotation for Bias Evaluation in Machine Translation: Can LLMs Improve Reliability?**Chiara Manna, Argentina Anna Rescigno, Eva Vanmassenhove*2026*](https://md.research.elamur.ai/free/en/papers/manna-2026-rethinking-gender-annotation-bias-evaluation/)
876. [**Santham: A Curated Sanskrit–Tamil Dataset with Anvaya and Segmentation for Building and Evaluating Machine Translation**Prasanna Venkatesh T S, Ketaki Mangesh Shetye, Vishnuraj Arjunasamy, et al.*2026*](https://md.research.elamur.ai/free/en/papers/s-2026-santham-curated-sanskrit-tamil-dataset/)
877. [**Scalable Video-Based Search in the VGT Dictionary**Toon Vandendriessche, Caro Brosens, Hannes De Durpel, et al.*2026*](https://md.research.elamur.ai/free/en/papers/vandendriessche-2026-scalable-video-based-search-vgt/)
878. [**Scoring the Translation: On Target Automatic Keyword-Based Evaluation of Machine Translation in the Sports Domain**Steinþór Steingrímsson, Einar Freyr Sigurðsson*2026*](https://md.research.elamur.ai/free/en/papers/steingrimsson-2026-scoring-translation-target-automatic-keyword/)
879. [**Script Correction and Synthetic Pivoting: Adapting Tencent HY-MT for Low-Resource Turkic Translation**Bolgov Maxim*2026*](https://md.research.elamur.ai/free/en/papers/maxim-2026-script-correction-synthetic-pivoting-adapting/)
880. [**SearchLLM: Detecting LLM Paraphrased Text by Measuring the Similarity with Regeneration of the Candidate Source via Search Engine**Hoang-Quoc Nguyen-Son, Minh-Son Dao, Koji Zettsu*2026*](https://md.research.elamur.ai/free/en/papers/son-2026-searchllm-detecting-llm-paraphrased-text/)
881. [**Simplify-Pro: A Two-level and Progressive LLM-based Framework for Auto Long Text Simplification**Peng Zhou, Guangxin Li, Xiaoying Huang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhou-2026-simplify-pro-two-level-progressive/)
882. [**SiniticMTError: A Machine Translation Dataset with Error Annotations for Sinitic Languages**Hannah Liu, Junghyun Min, Annie En-Shiun Lee, et al.*2026*](https://md.research.elamur.ai/free/en/papers/liu-2026-siniticmterror-machine-translation-dataset-error/)
883. [**Smarter edits? Post-editing with error highlights and translation suggestions**Fleur V.J. van Tellingen, Gautam Ranka, Dora Žugčić, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tellingen-2026-smarter-edits-post-editing-error/)
884. [**SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent Space**Viktoriia Zinkovich, Anton Antonov, Andrei Spiridonov, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zinkovich-2026-sparta-evaluating-reasoning-segmentation-robustness/)
885. [**SWAN: Semantic Watermarking with Abstract Meaning Representation**Ziping Ye, Gourab Dey, Christos Christodoulopoulos, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ye-2026-swan-semantic-watermarking-abstract-meaning/)
886. [**Syntax is the Key to Semantics: Combining Universal Dependencies and Abstract Meaning Representation**Johannes Heinecke*2026*](https://md.research.elamur.ai/free/en/papers/heinecke-2026-syntax-is-key-semantics-combining/)
887. [**TaMTAS: Terminology-Aware Machine Translation for Accessible Science. Large Corpus compilation, terminology extraction and data augmentation**Antoni Oliver, Sergi Alvarez-Vidal*2026*](https://md.research.elamur.ai/free/en/papers/oliver-2026-tamtas-terminology-aware-machine-translation/)
888. [**Teaching linguistic prompt control for LLM based translation: A classroom approach to developing critical and responsible AI literacy**Katrin Menzel*2026*](https://md.research.elamur.ai/free/en/papers/menzel-2026-teaching-linguistic-prompt-control-llm/)
889. [**Teaching Machine Translation Technologies with MTUUOC**Antoni Oliver, Sergi Alvarez-Vidal*2026*](https://md.research.elamur.ai/free/en/papers/oliver-2026-teaching-machine-translation-technologies-mtuuoc/)
890. [**TELÓ: AI-Driven Automatic Subtitling for the Promotion of the Performing Arts**Antoni Oliver, Sílvia Rodríguez Vázquez, Manel Jiménez*2026*](https://md.research.elamur.ai/free/en/papers/oliver-2026-telo-ai-driven-automatic-subtitling/)
891. [**Terminology-Aware Retrieval-Augmented Knowledge Distillation for Biomedical Neural Machine Translation**Maria Zafar, Souhail Bakkali, Rejwanul Haque*2026*](https://md.research.elamur.ai/free/en/papers/zafar-2026-terminology-aware-retrieval-augmented-knowledge/)
892. [**The Mark Fades: Adaptive Evolutionary Paraphrase-based Attack against LLM Watermarks**Yusheng Zhao, Jian Zhao, Tianle Zhang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhao-2026-mark-fades-adaptive-evolutionary-paraphrase/)
893. [**The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform**Panagiotis Tsolakis, Ziqian Peng, Laurent Romary, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tsolakis-2026-matos-pipeline-translation-scientific-abstracts/)
894. [**The past and future of Fairslator**Michal Měchura*2026*](https://md.research.elamur.ai/free/en/papers/mechura-2026-past-future-fairslator/)
895. [**To Write or to Automate Linguistic Prompts, That Is the Question**Marina Sánchez-Torrón, Daria Akselrod, Jason Rauchwerk*2026*](https://md.research.elamur.ai/free/en/papers/torron-2026-write-or-automate-linguistic-prompts/)
896. [**Toward Equitable Machine Translation for Atypical Speech: An LLM Post-Correction Approach**Grace Pasion, Ammon Shurtz, Stephen D. Richardson*2026*](https://md.research.elamur.ai/free/en/papers/pasion-2026-equitable-machine-translation-atypical-speech/)
897. [**TrAinMR: an Annotator Training Website for Abstract Meaning Representation**Mina Yang, Shira Wein*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-trainmr-annotator-training-website-abstract/)
898. [**Translation as Augmentation: Effect of Translated Data on Assessment of Difficulty**Yiheng Wu, Jue Hou, Roman Yangarber*2026*](https://md.research.elamur.ai/free/en/papers/wu-2026-translation-as-augmentation-effect-translated/)
899. [**Translation-CoT: A Human-Inspired Chain-of-Thought Framework for Multilingual LLM Translation**Tabia Tanzin Prama, Juniper L Lovato, Chris Danforth, et al.*2026*](https://md.research.elamur.ai/free/en/papers/prama-2026-translation-cot-human-inspired-chain/)
900. [**Translators' Perceptions and Edit Traces: Quality of MT as a Tool in Canadian Parliamentary Translation**Jeniffer Leal-Wyss, Gabriel Bernier-Colborne, Delaney Lothian, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wyss-2026-translators-perceptions-edit-traces-quality/)
901. [**Under the Surface: Probing Tamil Paraphrase Intelligence**Viswadarshan R R, Dr. J. Felicia Lilian, Mahalakshmi S*2026*](https://md.research.elamur.ai/free/en/papers/r-2026-under-surface-probing-tamil-paraphrase/)
902. [**When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated Content**Lydia Nishimwe, Benoît Sagot, Rachel Bawden*2026*](https://md.research.elamur.ai/free/en/papers/nishimwe-2026-when-gold-standard-isn-t/)
903. [**Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translation**Shenbin Qian, Yves Scherrer*2026*](https://md.research.elamur.ai/free/en/papers/qian-2026-why-do-large-language-models/)
904. [**Yeswa-Stories: A Three-Way Parallel Dataset of Female African Figures in Low-Web Data Languages**Bethelhem Mamo, Hellina Nigatu*2026*](https://md.research.elamur.ai/free/en/papers/mamo-2026-yeswa-stories-three-way-parallel/)
905. [**“Decode the Law”: Towards Legal Text Simplification with Large Language Models**Mohammed Danish Rabbani, Subhadeep Roy, Sayantan Mitra, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rabbani-2026-decode-law-legal-text-simplification/)
906. [**Evaluating the Performance of Transformers in Translating Low-Resource Languages through Akkadian**Daniel A. Jones, Ruslan Mitkov*2025*](https://md.research.elamur.ai/free/en/papers/jones-2025-evaluating-performance-transformers-translating-low/)
907. [**Exploring Author Style in Nakba Short Stories: A Comparative Study of Transformer-Based Models**Osama Hamed, Nadeem Zaidkilani*2025*](https://md.research.elamur.ai/free/en/papers/hamed-2025-exploring-author-style-nakba-short/)
908. [**Leveraging AI to Bridge Classical Arabic and Modern Standard Arabic for Text Simplification**Shatha Altammami*2025*](https://md.research.elamur.ai/free/en/papers/altammami-2025-leveraging-ai-bridge-classical-arabic/)
909. [**Loanwords in the Language of Archaic Biblical Hebrew Poetry: A Case for Akkadianisms**Tania Notarius*2025*](https://md.research.elamur.ai/free/en/papers/notarius-2025-loanwords-language-archaic-biblical-hebrew/)
910. [**Nojoom.AI at AraGenEval Shared Task: Arabic Authorship Style Transfer**Hafsa Kara Achira, Mourad Bouache, Mourad Dahmane*2025*](https://md.research.elamur.ai/free/en/papers/achira-2025-nojoom-ai-arageneval-shared-task/)
911. [**Rule-based Surface Realization of Romanian Weak Pronouns**Ciprian Gerstenberger*2025*](https://md.research.elamur.ai/free/en/papers/gerstenberger-2025-rule-based-surface-realization-romanian/)
912. [**The Role of PropBank Sense IDs in AMR-to-text Generation and Text-to-AMR Parsing**Thu Hoang, Mina Yang, Shira Wein*2025*](https://md.research.elamur.ai/free/en/papers/hoang-2025-role-propbank-sense-ids-amr/)
913. [**HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew**Itai Mondshine, Tzuf Paz-Argaman, Asaf Achi Mordechai, et al.*2024*](https://md.research.elamur.ai/free/en/papers/mondshine-2024-hesum-novel-dataset-abstractive-text/)
914. [**Style transfer and classification in hebrew news items**Nir Weingarten*2022*](https://md.research.elamur.ai/free/en/papers/weingarten-2022-style-transfer-classification-hebrew-news/)
915. [**Causation (and Some Other) Paraphrasing Patterns in L1 English. A Case Study**Jasmina Milićević*2021*](https://md.research.elamur.ai/free/en/papers/milicevic-2021-causation-some-other-paraphrasing-patterns/)
916. [**A Survey of Qualitative Error Analysis for Neural Machine Translation Systems**Denise Díaz, James Cross, Vishrav Chaudhary, et al.*2020*](https://md.research.elamur.ai/free/en/papers/diaz-2020-survey-qualitative-error-analysis-neural/)
917. [**Learning synchronous context-free grammars with multiple specialised non-terminals for hierarchical phrase-based translation**Felipe Sanchez-Martinez, Juan Antonio Perez-Ortiz, Rafael C. Carrasco*2020*](https://md.research.elamur.ai/free/en/papers/sanchez-martinez-2020-learning-synchronous-context-free-grammars/)
918. [**The use of the Septuagint in Afrikaans Bible translations**Herculaas F. van Rooy*2020*](https://md.research.elamur.ai/free/en/papers/rooy-2020-use-septuagint-afrikaans-bible-translations/)
919. [**Towards a Common Aim and Framework for Tools and Research in Support of Bible Translation and Biblical Language Online Learning**Paul A. O'Rear*2019*](https://md.research.elamur.ai/free/en/papers/o-rear-2019-towards-common-aim-framework-tools/)
920. [**New perspectives on cohesion and coherence: Implications for translation**Katrin Menzel, Ekaterina Lapshinova-Koltunski, Kerstin Kunz*2017*](https://md.research.elamur.ai/free/en/papers/kunz-2017-new-perspectives-cohesion-coherence/)
921. [**International translation in the Grammatical Framework (GF)**Aarne Ranta, Kasimir Angelov, Thomas Hallgren, et al.*2016*](https://md.research.elamur.ai/free/en/papers/ranta-2016-international-translation-grammatical-framework-gf/)
922. [**Enhancing function word translation with syntax-based statistical post-editing**John Richardson, Toshiaki Nakazawa, Sadao Kurohashi*2015*](https://md.research.elamur.ai/free/en/papers/richardson-2015-enhancing-function-word-translation-syntax/)
923. [**The Translation of Quotative Frames in the Hebrew Bible**Cynthia L. Miller-Naudé, Jacobus A. Naudé*2015*](https://md.research.elamur.ai/free/en/papers/miller-naude-2026-translation-quotative-frames-hebrew-bible/)
924. [**Extracting Semantic Transfer Rules from Parallel Corpora with SMT Phrase Aligners**Petter Haugereid, Francis Bond*2012*](https://md.research.elamur.ai/free/en/papers/haugereid-2012-extracting-semantic-transfer-rules-parallel/)
925. [**Treebank of Chinese Bible Translations**Andi Wu*2010*](https://md.research.elamur.ai/free/en/papers/wu-2010-treebank-chinese-bible-translations/)

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