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title: "Machine translation — library papers, page 4"
description: "Machine translation: 531 papers of the Elamur Research library on it, the most cited first — each with our summary, its ideas, references and who cites it."
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# Machine translation — papers in the library

531 papers · [the topic and Mova's cards](https://md.research.elamur.ai/free/en/topics/machine-translation/)

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- [Better Word Alignments with Supervised ITG Models](https://md.research.elamur.ai/free/en/papers/haghighi-2009-better-word-alignments-supervised-itg/) — Aria Haghighi, John Blitzer, John DeNero, et al. · Proceedings of the Joint Conference of the 47th…
- [Dirt Cheap Web-Scale Parallel Text from the Common Crawl](https://md.research.elamur.ai/free/en/papers/smith-2013-dirt-cheap-web-scale-parallel/) — Jason R. Smith, Herve Saint-Amand, Magdalena Plamada, et al. · Proceedings of the 51st Annual Meeting of the…
- [Document-level Neural MT: A Systematic Comparison](https://md.research.elamur.ai/free/en/papers/lopes-2020-document-level-neural-mt-systematic/) — António Lopes, M. Amin Farajian, Rachel Bawden, et al. · Proceedings of the 22nd Annual Conference of…
- [Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas](https://md.research.elamur.ai/free/en/papers/mager-2021-findings-americasnlp-2021-shared-task/) — Manuel Mager, Arturo Oncevay, Abteen Ebrahimi, et al. · Proceedings of the First Workshop on Natural…
- [ParaCrawl: Web-scale parallel corpora for the languages of the EU](https://md.research.elamur.ai/free/en/papers/espla-2019-paracrawl-web-scale-parallel-corpora/) — Miquel Esplà, Mikel Forcada, Gema Ramírez-Sánchez, et al. · Proceedings of Machine Translation Summit XVII…
- [Adaptation of the translation model for statistical machine translation based on information retrieval](https://md.research.elamur.ai/free/en/papers/hildebrand-2005-adaptation-translation-model-statistical-machine/) — Almut Silja Hildebrand, Matthias Eck, Stephan Vogel, et al. · Proceedings of the 10th EAMT Conference…
- [Evaluating Machine Translation Output with Automatic Sentence Segmentation](https://md.research.elamur.ai/free/en/papers/matusov-2005-evaluating-machine-translation-output-automatic/) — Evgeny Matusov, Gregor Leusch, Oliver Bender, et al. · Proceedings of the Second International…
- [On The Evaluation of Machine Translation Systems Trained With Back-Translation](https://md.research.elamur.ai/free/en/papers/edunov-2020-evaluation-machine-translation-systems-trained/) — Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, et al. · Proceedings of the 58th Annual Meeting of the…
- [Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation](https://md.research.elamur.ai/free/en/papers/vanmassenhove-2019-lost-translation-loss-decay-linguistic/) — Eva Vanmassenhove, Dimitar Shterionov, Andy Way · Proceedings of Machine Translation Summit XVII…
- [Findings of the WMT 2018 Shared Task on Quality Estimation](https://md.research.elamur.ai/free/en/papers/specia-2018-findings-wmt-2018-shared-task/) — Lucia Specia, Frédéric Blain, Varvara Logacheva, et al. · Proceedings of the Third Conference on Machine…
- [Forest-based Translation Rule Extraction](https://md.research.elamur.ai/free/en/papers/mi-2008-forest-based-translation-rule-extraction/) — Haitao Mi, Liang Huang · Proceedings of the 2008 Conference on Empirical…
- [Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus](https://md.research.elamur.ai/free/en/papers/bentivogli-2020-gender-danger-evaluating-speech-translation/) — Luisa Bentivogli, Beatrice Savoldi, Matteo Negri, et al. · Proceedings of the 58th Annual Meeting of the…
- [Loosely Tree-Based Alignment for Machine Translation](https://md.research.elamur.ai/free/en/papers/gildea-2003-loosely-tree-based-alignment-machine/) — Daniel Gildea · Proceedings of the 41st Annual Meeting of the…
- [Domain Robustness in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/muller-2020-domain-robustness-neural-machine-translation/) — Mathias Müller, Annette Rios, Rico Sennrich · Proceedings of the 14th Conference of the…
- [CDER: Efficient MT Evaluation Using Block Movements](https://md.research.elamur.ai/free/en/papers/leusch-2006-cder-efficient-mt-evaluation-block/) — Gregor Leusch, Nicola Ueffing, Hermann Ney · 11th Conference of the European Chapter of the…
- [Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings](https://md.research.elamur.ai/free/en/papers/gonzales-2017-improving-word-sense-disambiguation-neural/) — Annette Rios Gonzales, Laura Mascarell, Rico Sennrich · Proceedings of the Second Conference on Machine…
- [Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder](https://md.research.elamur.ai/free/en/papers/chen-2017-improved-neural-machine-translation-syntax/) — Huadong Chen, Shujian Huang, David Chiang, et al. · Proceedings of the 55th Annual Meeting of the…
- [Effective Parallel Corpus Mining using Bilingual Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/guo-2018-effective-parallel-corpus-mining-bilingual/) — Mandy Guo, Qinlan Shen, Yinfei Yang, et al. · Proceedings of the Third Conference on Machine…
- [Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test Sets](https://md.research.elamur.ai/free/en/papers/kocmi-2025-findings-wmt25-general-machine-translation/) — Tom Kocmi, Ekaterina Artemova, Eleftherios Avramidis, et al. · Proceedings of the Tenth Conference on Machine…
- [MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset](https://md.research.elamur.ai/free/en/papers/fomicheva-2022-mlqe-pe-multilingual-quality-estimation/) — Marina Fomicheva, Shuo Sun, Erick Fonseca, et al. · Proceedings of the Thirteenth Language…
- [Investigating Backtranslation in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/poncelas-2018-investigating-backtranslation-neural-machine-translation/) — Alberto Poncelas, Dimitar Shterionov, Andy Way, et al. · Proceedings of the 21st Annual Conference of…
- [Multi-Domain Neural Machine Translation through Unsupervised Adaptation](https://md.research.elamur.ai/free/en/papers/farajian-2017-multi-domain-neural-machine-translation/) — M. Amin Farajian, Marco Turchi, Matteo Negri, et al. · Proceedings of the Second Conference on Machine…
- [BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation](https://md.research.elamur.ai/free/en/papers/jiang-2022-blonde-automatic-evaluation-metric-document/) — Yuchen Jiang, Tianyu Liu, Shuming Ma, et al. · Proceedings of the 2022 Conference of the North…
- [Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions](https://md.research.elamur.ai/free/en/papers/koehn-2019-findings-wmt-2019-shared-task/) — Philipp Koehn, Francisco Guzmán, Vishrav Chaudhary, et al. · Proceedings of the Fourth Conference on Machine…
- [A neural interlingua for multilingual machine translation](https://md.research.elamur.ai/free/en/papers/lu-2018-neural-interlingua-multilingual-machine-translation/) — Yichao Lu, Phillip Keung, Faisal Ladhak, et al. · Proceedings of the Third Conference on Machine…
- [APE at Scale and Its Implications on MT Evaluation Biases](https://md.research.elamur.ai/free/en/papers/freitag-2019-ape-scale-its-implications-mt/) — Markus Freitag, Isaac Caswell, Scott Roy · Proceedings of the Fourth Conference on Machine…
- [Attention-based Multimodal Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/huang-2016-attention-based-multimodal-neural-machine/) — Po-Yao Huang, Frederick Liu, Sz-Rung Shiang, et al. · Proceedings of the First Conference on Machine…
- [Evaluation of machine translation and its evaluation](https://md.research.elamur.ai/free/en/papers/turian-2003-evaluation-machine-translation-its-evaluation/) — Joseph P. Turian, Luke Shen, I. Dan Melamed · Proceedings of Machine Translation Summit IX…
- [RUSE: Regressor Using Sentence Embeddings for Automatic Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/shimanaka-2018-ruse-regressor-sentence-embeddings-automatic/) — Hiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi · Proceedings of the Third Conference on Machine…
- [Log-linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post-Editing](https://md.research.elamur.ai/free/en/papers/dowmunt-2016-log-linear-combinations-monolingual-bilingual/) — Marcin Junczys-Dowmunt, Roman Grundkiewicz · Proceedings of the First Conference on Machine…
- [Convergence of Translation Memory and Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/koehn-2010-convergence-translation-memory-statistical-machine/) — Philipp Koehn, Jean Senellart · Proceedings of the Second Joint EM+/CNGL…
- [Fill-up versus interpolation methods for phrase-based SMT adaptation](https://md.research.elamur.ai/free/en/papers/bisazza-2011-fill-up-versus-interpolation-methods/) — Arianna Bisazza, Nick Ruiz, Marcello Federico · Proceedings of the 8th International Workshop…
- [Scheduled Multi-Task Learning: From Syntax to Translation](https://md.research.elamur.ai/free/en/papers/kiperwasser-2018-scheduled-multi-task-learning-syntax/) — Eliyahu Kiperwasser, Miguel Ballesteros · Transactions of the Association for…
- [Stronger Baselines for Trustable Results in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/denkowski-2017-stronger-baselines-trustable-results-neural/) — Michael Denkowski, Graham Neubig · Proceedings of the First Workshop on Neural…
- [Effective Domain Mixing for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/britz-2017-effective-domain-mixing-neural-machine/) — Denny Britz, Quoc Le, Reid Pryzant · Proceedings of the Second Conference on Machine…
- [Findings of the WMT 2020 Shared Task on Parallel Corpus Filtering and Alignment](https://md.research.elamur.ai/free/en/papers/koehn-2020-findings-wmt-2020-shared-task/) — Philipp Koehn, Vishrav Chaudhary, Ahmed El-Kishky, et al. · Proceedings of the Fifth Conference on Machine…
- [Iterative Translation Refinement with Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2024-iterative-translation-refinement-large-language/) — Pinzhen Chen, Zhicheng Guo, Barry Haddow, et al. · Proceedings of the 25th Annual Conference of…
- [Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It](https://md.research.elamur.ai/free/en/papers/saunders-2020-neural-machine-translation-doesn-t/) — Danielle Saunders, Rosie Sallis, Bill Byrne · Proceedings of the Second Workshop on Gender…
- [Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation](https://md.research.elamur.ai/free/en/papers/levy-2021-collecting-large-scale-gender-bias/) — Shahar Levy, Koren Lazar, Gabriel Stanovsky · Findings of the Association for Computational…
- [Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation](https://md.research.elamur.ai/free/en/papers/pust-2015-parsing-english-into-abstract-meaning/) — Michael Pust, Ulf Hermjakob, Kevin Knight, et al. · Proceedings of the 2015 Conference on Empirical…
- [Prompsit's submission to WMT 2018 Parallel Corpus Filtering shared task](https://md.research.elamur.ai/free/en/papers/cartagena-2018-prompsit-s-submission-wmt-2018/) — Víctor M. Sánchez-Cartagena, Marta Bañón, Sergio Ortiz-Rojas, et al. · Proceedings of the Third Conference on Machine…
- [Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection](https://md.research.elamur.ai/free/en/papers/wang-2018-denoising-neural-machine-translation-training/) — Wei Wang, Taro Watanabe, Macduff Hughes, et al. · Proceedings of the Third Conference on Machine…
- [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 · Transactions of the Association for…
- [The NiuTrans Machine Translation Systems for WMT19](https://md.research.elamur.ai/free/en/papers/li-2019-niutrans-machine-translation-systems-wmt19/) — Bei Li, Yinqiao Li, Chen Xu, et al. · Proceedings of the Fourth Conference on Machine…
- [Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic Diversity](https://md.research.elamur.ai/free/en/papers/thompson-2020-paraphrase-generation-as-zero-shot/) — Brian Thompson, Matt Post · Proceedings of the Fifth Conference on Machine…
- [Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions](https://md.research.elamur.ai/free/en/papers/dowmunt-2016-is-neural-machine-translation-ready/) — Marcin Junczys-Dowmunt, Tomasz Dwojak, Hieu Hoang · Proceedings of the 13th International…
- [Statistical Machine Translation with Scarce Resources Using Morpho-syntactic Information](https://md.research.elamur.ai/free/en/papers/en-2004-statistical-machine-translation-scarce-resources/) — Sonja Nießen, Hermann Ney · Computational Linguistics
- [Findings of the WMT 2018 Shared Task on Automatic Post-Editing](https://md.research.elamur.ai/free/en/papers/chatterjee-2018-findings-wmt-2018-shared-task/) — Rajen Chatterjee, Matteo Negri, Raphael Rubino, et al. · Proceedings of the Third Conference on Machine…
- [Findings of the WMT 2019 Shared Task on Automatic Post-Editing](https://md.research.elamur.ai/free/en/papers/chatterjee-2019-findings-wmt-2019-shared-task/) — Rajen Chatterjee, Christian Federmann, Matteo Negri, et al. · Proceedings of the Fourth Conference on Machine…
- [Artificial Error Generation with Machine Translation and Syntactic Patterns](https://md.research.elamur.ai/free/en/papers/rei-2017-artificial-error-generation-machine-translation/) — Marek Rei, Mariano Felice, Zheng Yuan, et al. · arXiv:1707.05236
- [Using Sense-labeled Discourse Connectives for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/meyer-2012-sense-labeled-discourse-connectives-statistical/) — Thomas Meyer, Andrei Popescu-Belis · Proceedings of the Joint Workshop on Exploiting…
- [TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties](https://md.research.elamur.ai/free/en/papers/kadaoui-2023-tarjamat-evaluation-bard-chatgpt-machine/) — Karima Kadaoui, Samar M. Magdy, Abdul Waheed, et al. · Proceedings of ArabicNLP 2023
- [Measuring Machine Translation Errors in New Domains](https://md.research.elamur.ai/free/en/papers/irvine-2013-measuring-machine-translation-errors-new/) — Ann Irvine, John Morgan, Marine Carpuat, et al. · Transactions of the Association for…
- [Neural Network Translation Models for Grammatical Error Correction](https://md.research.elamur.ai/free/en/papers/chollampatt-2016-neural-network-translation-models-grammatical/) — Shamil Chollampatt, Kaveh Taghipour, Hwee Tou Ng · arXiv:1606.00189
- [Implicitation of Discourse Connectives in (Machine) Translation](https://md.research.elamur.ai/free/en/papers/meyer-2013-implicitation-discourse-connectives-machine-translation/) — Thomas Meyer, Bonnie Webber · Proceedings of the Workshop on Discourse in…
- [The AraGenEval Shared Task on Arabic Authorship Style Transfer and AI Generated Text Detection](https://md.research.elamur.ai/free/en/papers/abudalfa-2025-arageneval-shared-task-arabic-authorship/) — Shadi Abudalfa, Saad Ezzini, Ahmed Abdelali, et al. · Proceedings of The Third Arabic Natural…
- [Findings of the WMT 2017 Biomedical Translation Shared Task](https://md.research.elamur.ai/free/en/papers/yepes-2017-findings-wmt-2017-biomedical-translation/) — Antonio Jimeno Yepes, Aurélie Névéol, Mariana Neves, et al. · Proceedings of the Second Conference on Machine…
- [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. · Proceedings of the Sixth Conference on Machine…
- [Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation](https://md.research.elamur.ai/free/en/papers/peled-2017-sarcasm-sign-interpreting-sarcasm-sentiment/) — Lotem Peled, Roi Reichart · Proceedings of the 55th Annual Meeting of the…
- [Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains](https://md.research.elamur.ai/free/en/papers/zouhar-2024-fine-tuned-machine-translation-metrics/) — Vilém Zouhar, Shuoyang Ding, Anna Currey, et al. · Proceedings of the 62nd Annual Meeting of the…
- [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. · Proceedings of the Eighth Conference on Machine…
- [MaTESe: Machine Translation Evaluation as a Sequence Tagging Problem](https://md.research.elamur.ai/free/en/papers/perrella-2022-matese-machine-translation-evaluation-as/) — Stefano Perrella, Lorenzo Proietti, Alessandro Scirè, et al. · Proceedings of the Seventh Conference on…
- [Bilingual FrameNet Dictionaries for Machine Translation](https://md.research.elamur.ai/free/en/papers/boas-2002-bilingual-framenet-dictionaries-machine-translation/) — Hans C. Boas · Proceedings of the Third International…
- [CUNI Transformer Neural MT System for WMT18](https://md.research.elamur.ai/free/en/papers/popel-2018-cuni-transformer-neural-mt-system/) — Martin Popel · Proceedings of the Third Conference on Machine…
- [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. · Transactions of the Association for…
- [Linguistic Evaluation of German-English Machine Translation Using a Test Suite](https://md.research.elamur.ai/free/en/papers/avramidis-2019-linguistic-evaluation-german-english-machine/) — Eleftherios Avramidis, Vivien Macketanz, Ursula Strohriegel, et al. · Proceedings of the Fourth Conference on Machine…
- [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 · Proceedings of the 17th Conference of the…
- [Towards Effective Disambiguation for Machine Translation with Large Language Models](https://md.research.elamur.ai/free/en/papers/iyer-2023-effective-disambiguation-machine-translation-large/) — Vivek Iyer, Pinzhen Chen, Alexandra Birch · Proceedings of the Eighth Conference on Machine…
- [Taking MT Evaluation Metrics to Extremes: Beyond Correlation with Human Judgments](https://md.research.elamur.ai/free/en/papers/fomicheva-2019-taking-mt-evaluation-metrics-extremes/) — Marina Fomicheva, Lucia Specia · Computational Linguistics
- [Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets](https://md.research.elamur.ai/free/en/papers/moghe-2025-machine-translation-meta-evaluation-through/) — Nikita Moghe, Arnisa Fazla, Chantal Amrhein, et al. · Computational Linguistics
- [PEIT: Bridging the Modality Gap with Pre-trained Models for End-to-End Image Translation](https://md.research.elamur.ai/free/en/papers/zhu-2023-peit-bridging-modality-gap-pre/) — Shaolin Zhu, Shangjie Li, Yikun Lei, et al. · Proceedings of the 61st Annual Meeting of the…
- [Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In!](https://md.research.elamur.ai/free/en/papers/perrella-2024-guardians-machine-translation-meta-evaluation/) — Stefano Perrella, Lorenzo Proietti, Alessandro Scirè, et al. · Proceedings of the 62nd Annual Meeting of the…
- [Machine Translation of Labeled Discourse Connectives](https://md.research.elamur.ai/free/en/papers/meyer-2012-machine-translation-labeled-discourse-connectives/) — Thomas Meyer, Andrei Popescu-Belis, Najeh Hajlaoui, et al. · Proceedings of the 10th Conference of the…
- [Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments](https://md.research.elamur.ai/free/en/papers/stojanovski-2018-coreference-coherence-neural-machine-translation/) — Dario Stojanovski, Alexander Fraser · Proceedings of the Third Conference on Machine…
- [M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/feng-2025-m-mad-multidimensional-multi-agent/) — Zhaopeng Feng, Jiayuan Su, Jiamei Zheng, et al. · Proceedings of the 63rd Annual Meeting of the…
- [Understanding and Bridging the Modality Gap for Speech Translation](https://md.research.elamur.ai/free/en/papers/fang-2023-understanding-bridging-modality-gap-speech/) — Qingkai Fang, Yang Feng · Proceedings of the 61st Annual Meeting of the…
- [Discourse Structure in Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/joty-2017-discourse-structure-machine-translation-evaluation/) — Shafiq Joty, Francisco Guzmán, Lluís Màrquez, et al. · Computational Linguistics
- [Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT](https://md.research.elamur.ai/free/en/papers/baker-2012-modality-negation-simt-use-modality/) — Kathryn Baker, Michael Bloodgood, Bonnie J. Dorr, et al. · Computational Linguistics
- [Findings of WMT 2024 Shared Task on Low-Resource Indic Languages Translation](https://md.research.elamur.ai/free/en/papers/pakray-2024-findings-wmt-2024-shared-task/) — Partha Pakray, Santanu Pal, Advaitha Vetagiri, et al. · Proceedings of the Ninth Conference on Machine…
- [Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting](https://md.research.elamur.ai/free/en/papers/liu-2023-crossing-threshold-idiomatic-machine-translation/) — Emmy Liu, Aditi Chaudhary, Graham Neubig · Proceedings of the 2023 Conference on Empirical…
- [Using Coreference Links to Improve Spanish-to-English Machine Translation](https://md.research.elamur.ai/free/en/papers/werlen-2017-coreference-links-improve-spanish-english/) — Lesly Miculicich Werlen, Andrei Popescu-Belis · Proceedings of the 2nd Workshop on Coreference…
- [Multilingual Annotation and Disambiguation of Discourse Connectives for Machine Translation](https://md.research.elamur.ai/free/en/papers/meyer-2011-multilingual-annotation-disambiguation-discourse-connectives/) — Thomas Meyer, Andrei Popescu-Belis, Sandrine Zufferey, et al. · Proceedings of the SIGDIAL 2011 Conference
- [GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation](https://md.research.elamur.ai/free/en/papers/xu-2022-guofeng-benchmark-zero-pronoun-recovery/) — Mingzhou Xu, Longyue Wang, Derek F. Wong, et al. · Proceedings of the 2022 Conference on Empirical…
- [New Trends for Modern Machine Translation with Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/liu-2026-new-trends-modern-machine-translation/) — Sinuo Liu, Chenyang Lyu, Minghao Wu, et al. · Proceedings of the Fifteenth Language Resources…
- [Context-aware Neural Machine Translation with Coreference Information](https://md.research.elamur.ai/free/en/papers/ohtani-2019-context-aware-neural-machine-translation/) — Takumi Ohtani, Hidetaka Kamigaito, Masaaki Nagata, et al. · Proceedings of the Fourth Workshop on Discourse…
- [Zero Pronoun Resolution can Improve the Quality of J-E Translation](https://md.research.elamur.ai/free/en/papers/taira-2012-zero-pronoun-resolution-can-improve/) — Hirotoshi Taira, Katsuhito Sudoh, Masaaki Nagata · Proceedings of the Sixth Workshop on Syntax…
- [Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation](https://md.research.elamur.ai/free/en/papers/guo-2023-bridging-gap-between-synthetic-authentic/) — Wenyu Guo, Qingkai Fang, Dong Yu, et al. · Proceedings of the 2023 Conference on Empirical…
- [Extension Multi30K: Multimodal Dataset for Integrated Vision and Language Research in Ukrainian](https://md.research.elamur.ai/free/en/papers/saichyshyna-2023-extension-multi30k-multimodal-dataset-integrated/) — Nataliia Saichyshyna, Daniil Maksymenko, Oleksii Turuta, et al. · Proceedings of the Second Ukrainian Natural…
- [The SADID Evaluation Datasets for Low-Resource Spoken Language Machine Translation of Arabic Dialects](https://md.research.elamur.ai/free/en/papers/abid-2020-sadid-evaluation-datasets-low-resource/) — Wael Abid · Proceedings of the 28th International…
- [Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian Response](https://md.research.elamur.ai/free/en/papers/oktem-2020-tigrinya-neural-machine-translation-transfer/) — Alp Oktem; Mirko Plitt;, Grace Tang · arXiv:2003.11523
- [Machine Translation with Many Manually Labeled Discourse Connectives](https://md.research.elamur.ai/free/en/papers/meyer-2013-machine-translation-many-manually-labeled/) — Thomas Meyer, Lucie Poláková · Proceedings of the Workshop on Discourse in…
- [UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language](https://md.research.elamur.ai/free/en/papers/xi-2023-unicorn-unified-cognitive-signal-reconstruction/) — Nuwa Xi, Sendong Zhao, Haochun Wang, et al. · Proceedings of the 61st Annual Meeting of the…
- [DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine Translation](https://md.research.elamur.ai/free/en/papers/martelli-2025-dibimt-gold-evaluation-benchmark-studying/) — Federico Martelli, Stefano Perrella, Niccolò Campolungo, et al. · Computational Linguistics
- [GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning](https://md.research.elamur.ai/free/en/papers/ramos-2025-grammamt-improving-machine-translation-grammar/) — Rita Ramos, Everlyn Asiko Chimoto, Maartje Ter Hoeve, et al. · Proceedings of the 63rd Annual Meeting of the…
- [Anaphora Resolution in Machine Translation](https://md.research.elamur.ai/free/en/papers/mitkov-1995-anaphora-resolution-machine-translation/) — Ruslan Mitkov, Sung-Kwon Choi, Randall Sharp · Proceedings of the Sixth Conference on…
- [Shallow Discourse Parsing for Under-Resourced Languages: Combining Machine Translation and Annotation Projection](https://md.research.elamur.ai/free/en/papers/gathje-2020-shallow-discourse-parsing-under-resourced/) — Henny Sluyter-Gäthje, Peter Bourgonje, Manfred Stede · Proceedings of the Twelfth Language Resources…
- [MORQA: Benchmarking Evaluation Metrics for Medical Open-Ended Question Answering](https://md.research.elamur.ai/free/en/papers/yim-2026-morqa-benchmarking-evaluation-metrics-medical/) — Wen-wai Yim, Asma Ben Abacha, Zixuan Yu, et al. · Proceedings of the Fifteenth Language Resources…
- [TriFine: A Large-Scale Dataset of Vision-Audio-Subtitle for Tri-Modal Machine Translation and Benchmark with Fine-Grained Annotated Tags](https://md.research.elamur.ai/free/en/papers/guan-2025-trifine-large-scale-dataset-vision/) — Boyu Guan, Yining Zhang, Yang Zhao, et al. · Proceedings of the 31st International…
- [Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text Classification](https://md.research.elamur.ai/free/en/papers/refai-2022-data-augmentation-using-transformers-similarity/) — Dania Refai, Saleh Abo-Soud, Mohammad Abdel-Rahman · arXiv:2212.13939
- [Advancing Dialectal Arabic to Modern Standard Arabic Machine Translation](https://md.research.elamur.ai/free/en/papers/alabdullah-2025-advancing-dialectal-arabic-modern-standard/) — Abdullah Alabdullah, Lifeng Han, Chenghua Lin · arXiv:2507.20301

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