🧑‍🔬 Marine Carpuat — all works

47 works · ← Marine Carpuat

1. BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗arXiv:2211.05100 · no summary yetBigScience Workshop et al.2022 · 1,606 citations
2. Improving Statistical Machine Translation Using Word Sense DisambiguationConference on Empirical Methods in Natural Language Processing (EMNLP)Marine Carpuat, Dekai Wu2007 · 505 citations
3. Curriculum Learning for Domain Adaptation in Neural Machine TranslationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xuan Zhang, Pamela Shapiro, Gaurav Kumar, et al.2019 · 169 citations
4. FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGNInternational Conference on Spoken Language Translation (IWSLT)Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, et al.2023 · 152 citations
5. Task-based Evaluation of Multiword Expressions: a Pilot Study in Statistical Machine Translation ↗Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics · no summary yetMarine Carpuat, Mona Diab2010 · 141 citations
6. Measuring Machine Translation Errors in New DomainsTransactions of the Association for Computational Linguistics (TACL)Ann Irvine, John Morgan, Marine Carpuat, et al.2013 · 104 citations
7. A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetXing Niu, Marianna Martindale, Marine Carpuat2017 · 103 citations
8. SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)International Workshop on Semantic Evaluation (SemEval)Nathan Schneider, Dirk Hovy, Anders Johannsen, et al.2016 · 100 citations
9. Bi-Directional Neural Machine Translation with Synthetic Parallel Data ↗Proceedings of the 2nd Workshop on Neural Machine Translation and Generation · no summary yetXing Niu, Michael Denkowski, Marine Carpuat2018 · 94 citations
10. Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation ↗Proceedings of the First Workshop on Neural Machine Translation · no summary yetMarine Carpuat, Yogarshi Vyas, Xing Niu2017 · 89 citations
11. Understanding and Detecting Hallucinations in Neural Machine Translation via Model IntrospectionTransactions of the Association for Computational Linguistics (TACL)Weijia Xu, Sweta Agrawal, Eleftheria Briakou, et al.2023 · 85 citations
12. Assessing the Discourse Factors that Influence the Quality of Machine Translation ↗Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetJunyi Jessy Li, Marine Carpuat, Ani Nenkova2014 · 63 citations
13. Controlling Neural Machine Translation Formality with Synthetic Supervision ↗arXiv:1911.08706 · no summary yetXing Niu, Marine Carpuat2019 · 52 citations
14. The Impact of Sentence Alignment Errors on Phrase-Based Machine Translation Performance ↗Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers · no summary yetCyril Goutte, Marine Carpuat, George Foster2012 · 52 citations
15. Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality TransferEleftheria Briakou, Sweta Agrawal, Joel Tetreault, et al.Machine translation · 49 citations
16. A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetSweta Agrawal, Weijia Xu, Marine Carpuat2021 · 49 citations
17. Evaluating the Word Sense Disambiguation Performance of Statistical Machine Translation ↗Companion Volume to the Proceedings of Conference including Posters/Demos and tutorial abstracts · no summary yetMarine Carpuat, Dekai Wu2005 · 42 citations
18. Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations ↗Findings of the Association for Computational Linguistics: NAACL 2024 · no summary yetDayeon Ki, Marine Carpuat2024 · 41 citations
19. AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetJiayi Wang et al.2024 · 39 citations
20. Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MT ↗Proceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track) · no summary yetMarianna Martindale, Marine Carpuat2018 · 37 citations
21. Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension ↗Transactions of the Association for Computational Linguistics · no summary yetSweta Agrawal, Marine Carpuat2024 · 36 citations
22. Robust Cross-Lingual Hypernymy Detection Using Dependency Context ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yetShyam Upadhyay et al.2018 · 34 citations
23. A Review of Human Evaluation for Style Transfer ↗Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM) · no summary yetEleftheria Briakou et al.2021 · 33 citations
24. Speech Translation and Metrics in 2026: Findings of the IWSLT Campaign ↗Proceedings of the 23rd International Conference on Spoken Language Translation (IWSLT 2026) · no summary yetDavid Ifeoluwa Adelani et al.2026 · 30 citations
25. Controlling Pre-trained Language Models for Grade-Specific Text Simplification ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetSweta Agrawal, Marine Carpuat2023 · 30 citations
26. Cross-lingual Discourse Relation Analysis: A corpus study and a semi-supervised classification systemInternational Conference on Computational Linguistics (COLING)Junyi Jessy Li, Marine Carpuat, Ani Nenkova2014 · 28 citations
27. Controlling Translation Formality Using Pre-trained Multilingual Language Models ↗Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022) · no summary yetElijah Rippeth, Sweta Agrawal, Marine Carpuat2022 · 23 citations
28. Mixed Language and Code-Switching in the Canadian Hansard ↗Proceedings of the First Workshop on Computational Approaches to Code Switching · no summary yetCarpuat, Marine2014 · 22 citations
29. Evaluation of Context-Dependent Phrasal Translation Lexicons for Statistical Machine Translation ↗Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08) · no summary yetMarine Carpuat, Dekai Wu2008 · 18 citations
30. Discovering Stylistic Variations in Distributional Vector Space Models via Lexical Paraphrases ↗Proceedings of the Workshop on Stylistic Variation · no summary yetXing Niu, Marine Carpuat2017 · 15 citations
31. Bridging Background Knowledge Gaps in Translation with Automatic ExplicitationConference on Empirical Methods in Natural Language Processing (EMNLP)HyoJung Han, Jordan Boyd-Graber, Marine Carpuat2023 · 13 citations
32. SimQA: Detecting Simultaneous MT Errors through Word-by-Word Question Answering ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetHyoJung Han, Marine Carpuat, Jordan Boyd-Graber2022 · 12 citations
33. A Semantic Evaluation of Machine Translation Lexical Choice ↗Proceedings of the Seventh Workshop on Syntax, Semantics and Structure in Statistical Translation · no summary yetCarpuat, Marine2013 · 12 citations
34. Multiple LLM Agents Debate for Equitable Cultural AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Dayeon Ki, Rachel Rudinger, Tianyi Zhou, et al.2025 · 10 citations
35. How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability?Transactions of the Association for Computational Linguistics (TACL)Neha Srikanth, Marine Carpuat, Rachel Rudinger2024 · 10 citations
36. AskQE: Question Answering as Automatic Evaluation for Machine Translation ↗Findings of the Association for Computational Linguistics: ACL 2025 · no summary yetDayeon Ki, Kevin Duh, Marine Carpuat2025 · 7 citations
37. Should I Share this Translation? Evaluating Quality Feedback for User Reliance on Machine Translation ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetDayeon Ki, Kevin Duh, Marine Carpuat2025 · 5 citations
38. Steering Large Language Models with Register Analysis for Arbitrary Style Transfer ↗arXiv:2505.00679 · no summary yetXinchen Yang, Marine Carpuat2025 · 5 citations
39. The UMD Submission to the Explainable MT Quality Estimation Shared Task: Combining Explanation Models with Sequence Labeling ↗Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems · no summary yetTasnim Kabir, Marine Carpuat2021 · 5 citations
40. Evaluating Evaluation Metrics for Ancient Chinese to English Machine Translation ↗Proceedings of the Second Workshop on Ancient Language Processing · no summary yetEric R. Bennett et al.2025 · 2 citations
41. Quality Estimation via Backtranslation at the WMT 2022 Quality Estimation Task ↗Proceedings of the Seventh Conference on Machine Translation (WMT) · no summary yetSweta Agrawal et al.2022 · 2 citations
42. Can you map it to English? The Role of Cross-Lingual Alignment in the Multilingual Performance of LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Kartik Ravisankar, HyoJung Han, Sarah Wiegreffe, et al.2026 · 1 citation
43. VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL)Hieu Tran, Phuong-Anh Nguyen-Le, Huy Nghiem, et al.2026 · 1 citation
44. Contrastive ESA: Human Evaluation of Multiple Translations at Once ↗arXiv:2607.26640 · no summary yetVilem Zouhar et al.2026 · 1 citation
45. Evaluating Native-Speaker Preferences on Machine Translation and Post-Edits for Five African LanguagesWorkshop on African Natural Language ProcessingHiba El Oirghi, Tajuddeen Gwadabe, Marine Carpuat2026
46. Should We be Pedantic About Reasoning Errors in Machine Translation? ↗arXiv:2604.09890 · no summary yetCalvin Bao, Marine Carpuat2026
47. Do Evaluation Metrics Detect Errors in Classical Chinese to English Translations? ↗arXiv:2608.08283 · no summary yetOsvaldo Quinjica et al.2026

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