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2020 – today
- 2024
- [j10]Sweta Agrawal, Marine Carpuat:
Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension. Trans. Assoc. Comput. Linguistics 12: 432-448 (2024) - [j9]Neha Srikanth, Marine Carpuat, Rachel Rudinger:
How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability? Trans. Assoc. Comput. Linguistics 12: 1143-1162 (2024) - [c106]HyoJung Han, Mohamed Anwar, Juan Pino, Wei-Ning Hsu, Marine Carpuat, Bowen Shi, Changhan Wang:
XLAVS-R: Cross-Lingual Audio-Visual Speech Representation Learning for Noise-Robust Speech Perception. ACL (1) 2024: 12896-12911 - [c105]Aquia Richburg, Calvin Bao, Marine Carpuat:
Automatic Authorship Analysis in Human-AI Collaborative Writing. LREC/COLING 2024: 1845-1855 - [c104]Shramay Palta, Nishant Balepur, Peter Rankel, Sarah Wiegreffe, Marine Carpuat, Rachel Rudinger:
Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning. EMNLP (Findings) 2024: 3451-3473 - [c103]HyoJung Han, Kevin Duh, Marine Carpuat:
SpeechQE: Estimating the Quality of Direct Speech Translation. EMNLP 2024: 21852-21867 - [c102]Dayeon Ki, Marine Carpuat:
Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations. NAACL-HLT (Findings) 2024: 4253-4273 - [c101]Jiayi Wang, David Ifeoluwa Adelani, Sweta Agrawal, Marek Masiak, Ricardo Rei, Eleftheria Briakou, Marine Carpuat, Xuanli He, Sofia Bourhim, Andiswa Bukula, Muhidin Mohamed, Temitayo Olatoye, Tosin P. Adewumi, Hamam Mokayed, Christine Mwase, Wangui Kimotho, Foutse Yuehgoh, Anuoluwapo Aremu, Jessica Ojo, Shamsuddeen Hassan Muhammad, Salomey Osei, Abdul-Hakeem Omotayo, Chiamaka Chukwuneke, Perez Ogayo, Oumaima Hourrane, Salma El Anigri, Lolwethu Ndolela, Thabiso Mangwana, Shafie Abdi Mohamed, Ayinde Hassan, Oluwabusayo Olufunke Awoyomi, Lama Alkhaled, Sana Sabah Al-Azzawi, Naome A. Etori, Millicent Ochieng, Clemencia Siro, Njoroge Kiragu, Eric Muchiri, Wangari Kimotho, Sakayo Toadoum Sari, Lyse Naomi Wamba Momo, Daud Abolade, Simbiat Ajao, Iyanuoluwa Shode, Ricky Macharm, Ruqayya Nasir Iro, Saheed S. Abdullahi, Stephen E. Moore, Bernard Opoku, Zainab Akinjobi, Afolabi Abeeb, Nnaemeka C. Obiefuna, Onyekachi Raphael Ogbu, Sam Ochieng', Verrah Otiende, Chinedu E. Mbonu, Yao Lu, Pontus Stenetorp:
AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages. NAACL-HLT 2024: 5997-6023 - [c100]Calvin Bao, Marine Carpuat:
Keep it Private: Unsupervised Privatization of Online Text. NAACL-HLT 2024: 8678-8693 - [i43]HyoJung Han, Mohamed Anwar, Juan Pino, Wei-Ning Hsu, Marine Carpuat, Bowen Shi, Changhan Wang:
XLAVS-R: Cross-Lingual Audio-Visual Speech Representation Learning for Noise-Robust Speech Perception. CoRR abs/2403.14402 (2024) - [i42]Dayeon Ki, Marine Carpuat:
Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations. CoRR abs/2404.07851 (2024) - [i41]Neha Srikanth, Marine Carpuat, Rachel Rudinger:
How often are errors in natural language reasoning due to paraphrastic variability? CoRR abs/2404.11717 (2024) - [i40]Calvin Bao, Marine Carpuat:
Keep It Private: Unsupervised Privatization of Online Text. CoRR abs/2405.10260 (2024) - [i39]Aquia Richburg, Marine Carpuat:
How Multilingual Are Large Language Models Fine-Tuned for Translation? CoRR abs/2405.20512 (2024) - [i38]Sander Schulhoff, Michael Ilie, Nishant Balepur, Konstantine Kahadze, Amanda Liu, Chenglei Si, Yinheng Li, Aayush Gupta, HyoJung Han, Sevien Schulhoff, Pranav Sandeep Dulepet, Saurav Vidyadhara, Dayeon Ki, Sweta Agrawal, Chau Pham, Gerson C. Kroiz, Feileen Li, Hudson Tao, Ashay Srivastava, Hevander Da Costa, Saloni Gupta, Megan L. Rogers, Inna Goncearenco, Giuseppe Sarli, Igor Galynker, Denis Peskoff, Marine Carpuat, Jules White, Shyamal Anadkat, Alexander Miserlis Hoyle, Philip Resnik:
The Prompt Report: A Systematic Survey of Prompting Techniques. CoRR abs/2406.06608 (2024) - [i37]HyoJung Han, Akiko Eriguchi, Haoran Xu, Hieu Hoang, Marine Carpuat, Huda Khayrallah:
Adapters for Altering LLM Vocabularies: What Languages Benefit the Most? CoRR abs/2410.09644 (2024) - [i36]Shramay Palta, Nishant Balepur, Peter Rankel, Sarah Wiegreffe, Marine Carpuat, Rachel Rudinger:
Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning. CoRR abs/2410.10854 (2024) - [i35]HyoJung Han, Kevin Duh, Marine Carpuat:
SpeechQE: Estimating the Quality of Direct Speech Translation. CoRR abs/2410.21485 (2024) - 2023
- [j8]Sai S. Yerramreddy
, Austin Mordahl, Ugur Koc, Shiyi Wei, Jeffrey S. Foster, Marine Carpuat, Adam A. Porter:
An empirical assessment of machine learning approaches for triaging reports of static analysis tools. Empir. Softw. Eng. 28(2): 28 (2023) - [j7]Weijia Xu, Sweta Agrawal, Eleftheria Briakou, Marianna J. Martindale, Marine Carpuat:
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection. Trans. Assoc. Comput. Linguistics 11: 546-564 (2023) - [c99]Navita Goyal, Eleftheria Briakou, Amanda Liu, Connor Baumler, Claire Bonial, Jeffrey Micher, Clare R. Voss, Marine Carpuat, Hal Daumé III:
What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems. EMNLP 2023: 3313-3330 - [c98]Sandra Sandoval, Jieyu Zhao, Marine Carpuat, Hal Daumé III:
A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation. EMNLP 2023: 3933-3945 - [c97]Tin Nguyen, Jiannan Xu, Aayushi Roy, Hal Daumé III, Marine Carpuat:
Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators. EMNLP 2023: 9696-9717 - [c96]HyoJung Han, Jordan L. Boyd-Graber, Marine Carpuat:
Bridging Background Knowledge Gaps in Translation with Automatic Explicitation. EMNLP 2023: 9718-9735 - [c95]Eleftheria Briakou, Navita Goyal, Marine Carpuat:
Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences. EMNLP 2023: 11220-11237 - [c94]Nikita Mehandru
Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors. EMNLP 2023: 11633-11647 - [c93]Sweta Agrawal, Marine Carpuat:
Controlling Pre-trained Language Models for Grade-Specific Text Simplification. EMNLP 2023: 12807-12819 - [c92]Sweta Agrawal, Antonios Anastasopoulos, Luisa Bentivogli, Ondrej Bojar, Claudia Borg
Findings of the IWSLT 2023 Evaluation Campaign. IWSLT@ACL 2023: 1-61 - [e14]Elizabeth Salesky, Marcello Federico, Marine Carpuat:
Proceedings of the 20th International Conference on Spoken Language Translation, IWSLT@ACL 2023, Toronto, Canada (in-person and online), 13-14 July, 2023. Association for Computational Linguistics 2023 [contents] - [i34]Weijia Xu, Sweta Agrawal, Eleftheria Briakou, Marianna J. Martindale, Marine Carpuat:
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection. CoRR abs/2301.07779 (2023) - [i33]Navita Goyal, Eleftheria Briakou, Amanda Liu, Connor Baumler, Claire Bonial, Jeffrey Micher, Clare R. Voss, Marine Carpuat, Hal Daumé III:
What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on AI Systems. CoRR abs/2305.14331 (2023) - [i32]Sweta Agrawal, Marine Carpuat:
How To Control Text Simplification? An Empirical Study of Control Tokens for Meaning Preserving Controlled Simplification. CoRR abs/2305.14993 (2023) - [i31]Tin Nguyen, Jiannan Xu, Aayushi Roy, Hal Daumé III, Marine Carpuat:
Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators. CoRR abs/2310.15055 (2023) - [i30]Nikita Mehandru, Sweta Agrawal, Yimin Xiao, Elaine C. Khoong, Ge Gao, Marine Carpuat, Niloufar Salehi:
Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors. CoRR abs/2310.16924 (2023) - [i29]Jiayi Wang, David Ifeoluwa Adelani, Sweta Agrawal, Ricardo Rei, Eleftheria Briakou, Marine Carpuat, Marek Masiak, Xuanli He, Sofia Bourhim, Andiswa Bukula, Muhidin Mohamed, Temitayo Olatoye, Hamam Mokayed, Christine Mwase, Wangui Kimotho, Foutse Yuehgoh, Aremu Anuoluwapo, Jessica Ojo, Shamsuddeen Hassan Muhammad, Salomey Osei, Abdul-Hakeem Omotayo, Chiamaka Chukwuneke, Perez Ogayo, Oumaima Hourrane, Salma El Anigri, Lolwethu Ndolela, Thabiso Mangwana, Shafie Abdi Mohamed, Ayinde Hassan, Oluwabusayo Olufunke Awoyomi, Lama Alkhaled, Sana Sabah Al-Azzawi, Naome A. Etori, Millicent Ochieng, Clemencia Siro, Samuel Njoroge, Eric Muchiri, Wangari Kimotho, Lyse Naomi Wamba Momo, Daud Abolade, Simbiat Ajao, Tosin P. Adewumi, Iyanuoluwa Shode, Ricky Macharm, Ruqayya Nasir Iro, Saheed S. Abdullahi, Stephen E. Moore, Bernard Opoku, Zainab Akinjobi, Afolabi Abeeb, Nnaemeka C. Obiefuna, Onyekachi Raphael Ogbu, Sam Brian, Verrah Akinyi Otiende, Chinedu Emmanuel Mbonu
AfriMTE and AfriCOMET: Empowering COMET to Embrace Under-resourced African Languages. CoRR abs/2311.09828 (2023) - [i28]Elijah Rippeth, Marine Carpuat, Kevin Duh, Matt Post:
Improving Word Sense Disambiguation in Neural Machine Translation with Salient Document Context. CoRR abs/2311.15507 (2023) - [i27]HyoJung Han, Jordan Lee Boyd-Graber, Marine Carpuat:
Bridging Background Knowledge Gaps in Translation with Automatic Explicitation. CoRR abs/2312.01308 (2023) - [i26]Eleftheria Briakou, Navita Goyal, Marine Carpuat:
Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences. CoRR abs/2312.01582 (2023) - [i25]Sweta Agrawal, Marine Carpuat:
Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension. CoRR abs/2312.10126 (2023) - 2022
- [j6]Yongle Zhang, Dennis Asamoah Owusu, Marine Carpuat, Ge Gao:
Facilitating Global Team Meetings Between Language-Based Subgroups: When and How Can Machine Translation Help? Proc. ACM Hum. Comput. Interact. 6(CSCW1): 90:1-90:26 (2022) - [c91]Eleftheria Briakou, Marine Carpuat:
Can Synthetic Translations Improve Bitext Quality? ACL (1) 2022: 4753-4766 - [c90]Sweta Agrawal, Marine Carpuat:
An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models. ACL (1) 2022: 7550-7563 - [c89]Elsbeth Turcan, David Wan, Faisal Ladhak, Petra Galuscáková, Sukanta Sen, Svetlana Tchistiakova, Weijia Xu, Marine Carpuat, Kenneth Heafield, Douglas W. Oard, Kathleen R. McKeown:
Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization. COLING 2022: 2668-2680 - [c88]Aquia Richburg, Marine Carpuat:
Data Cartography for Low-Resource Neural Machine Translation. EMNLP (Findings) 2022: 5594-5607 - [c87]HyoJung Han, Marine Carpuat, Jordan L. Boyd-Graber:
SimQA: Detecting Simultaneous MT Errors through Word-by-Word Question Answering. EMNLP 2022: 5598-5616 - [c86]Elijah Rippeth, Sweta Agrawal, Marine Carpuat:
Controlling Translation Formality Using Pre-trained Multilingual Language Models. IWSLT@ACL 2022: 327-340 - [c85]Sweta Agrawal, Nikita Mehandru, Niloufar Salehi, Marine Carpuat:
Quality Estimation via Backtranslation at the WMT 2022 Quality Estimation Task. WMT 2022: 593-596 - [e13]Marine Carpuat, Marie-Catherine de Marneffe, Iván Vladimir Meza Ruíz:
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-71-1 [contents] - [e12]Marine Carpuat, Marie-Catherine de Marneffe, Iván Vladimir Meza Ruíz:
Findings of the Association for Computational Linguistics: NAACL 2022, Seattle, WA, United States, July 10-15, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-76-6 [contents] - [i24]Eleftheria Briakou, Marine Carpuat:
Can Synthetic Translations Improve Bitext Quality? CoRR abs/2203.07643 (2022) - [i23]Sweta Agrawal, Marine Carpuat:
An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models. CoRR abs/2203.09486 (2022) - [i22]Elijah Rippeth, Sweta Agrawal, Marine Carpuat:
Controlling Translation Formality Using Pre-trained Multilingual Language Models. CoRR abs/2205.06644 (2022) - [i21]Yongle Zhang, Dennis Asamoah Owusu, Marine Carpuat, Ge Gao:
Facilitating Global Team Meetings Between Language-Based Subgroups: When and How Can Machine Translation Help? CoRR abs/2209.02906 (2022) - 2021
- [j5]Weijia Xu, Marine Carpuat:
EDITOR: an Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints. Trans. Assoc. Comput. Linguistics 9: 311-328 (2021) - [c84]Sweta Agrawal, Weijia Xu, Marine Carpuat:
A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification. ACL/IJCNLP (Findings) 2021: 3757-3769 - [c83]Weijia Xu, Shuming Ma, Dongdong Zhang, Marine Carpuat:
How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation? ACL/IJCNLP (Findings) 2021: 4392-4400 - [c82]Eleftheria Briakou, Marine Carpuat:
Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation. ACL/IJCNLP (1) 2021: 7236-7249 - [c81]Yongle Zhang, Dennis Asamoah Owusu, Emily Gong, Shaan Chopra, Marine Carpuat, Ge Gao:
Leveraging Machine Translation to Support Distributed Teamwork Between Language-Based Subgroups: The Effects of Automated Keyword Tagging. CHI Extended Abstracts 2021: 381:1-381:6 - [c80]Eleftheria Briakou, Sweta Agrawal, Joel R. Tetreault, Marine Carpuat:
Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer. EMNLP (1) 2021: 1321-1336 - [c79]Weijia Xu, Marine Carpuat:
Rule-based Morphological Inflection Improves Neural Terminology Translation. EMNLP (1) 2021: 5902-5914 - [c78]Tasnim Kabir, Marine Carpuat:
The UMD Submission to the Explainable MT Quality Estimation Shared Task: Combining Explanation Models with Sequence Labeling. Eval4NLP 2021: 230-237 - [c77]Saptarashmi Bandyopadhyay, Tasnim Kabir, Zizhen Lian, Marine Carpuat:
The University of Maryland, College Park Submission to Large-Scale Multilingual Shared Task at WMT 2021. WMT@EMNLP 2021: 383-386 - [i20]Weijia Xu
How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation? CoRR abs/2105.12900 (2021) - [i19]Eleftheria Briakou, Marine Carpuat:
Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation. CoRR abs/2105.15087 (2021) - [i18]Eleftheria Briakou, Sweta Agrawal, Ke Zhang, Joel R. Tetreault, Marine Carpuat:
A Review of Human Evaluation for Style Transfer. CoRR abs/2106.04747 (2021) - [i17]Weijia Xu
Rule-based Morphological Inflection Improves Neural Terminology Translation. CoRR abs/2109.04620 (2021) - [i16]Eleftheria Briakou, Sweta Agrawal, Joel R. Tetreault, Marine Carpuat:
Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer. CoRR abs/2110.10668 (2021) - 2020
- [c76]Xing Niu, Marine Carpuat:
Controlling Neural Machine Translation Formality with Synthetic Supervision. AAAI 2020: 8568-8575 - [c75]Kevin Kuo, Marine Carpuat:
Evaluating a Bi-LSTM Model for Metaphor Detection in TOEFL Essays. Fig-Lang@ACL 2020: 192-196 - [c74]Sweta Agrawal, Marine Carpuat:
Generating Diverse Translations via Weighted Fine-tuning and Hypotheses Filtering for the Duolingo STAPLE Task. NGT@ACL 2020: 178-187 - [c73]Cyril Goutte, Marine Carpuat, George F. Foster:
The Impact of Sentence Alignment Errors on Phrase-Based Machine Translation Performance. AMTA 2020 - [c72]Eleftheria Briakou, Marine Carpuat:
Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank. EMNLP (1) 2020: 1563-1580 - [c71]Weijia Xu, Xing Niu, Marine Carpuat:
Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation. EMNLP (Findings) 2020: 2006-2020 - [c70]Calvin Bao, Yow-Ting Shiue, Chujun Song, Jie Li, Marine Carpuat:
The University of Maryland's Submissions to the WMT20 Chat Translation Task: Searching for More Data to Adapt Discourse-Aware Neural Machine Translation. WMT@EMNLP 2020: 456-461 - [c69]David Wan, Chris Kedzie, Faisal Ladhak, Marine Carpuat, Kathleen R. McKeown:
Incorporating Terminology Constraints in Automatic Post-Editing. WMT@EMNLP 2020: 1193-1204 - [i15]Weijia Xu
Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation. CoRR abs/2010.03412 (2020) - [i14]Eleftheria Briakou, Marine Carpuat:
Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank. CoRR abs/2010.03662 (2020) - [i13]David Wan, Chris Kedzie, Faisal Ladhak, Marine Carpuat, Kathleen R. McKeown:
Incorporating Terminology Constraints in Automatic Post-Editing. CoRR abs/2010.09608 (2020) - [i12]Weijia Xu
EDITOR: an Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints. CoRR abs/2011.06868 (2020)
2010 – 2019
- 2019
- [c68]Sweta Agrawal, Marine Carpuat:
Controlling Text Complexity in Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 1549-1564 - [c67]Yogarshi Vyas, Marine Carpuat:
Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation. EMNLP/IJCNLP (1) 2019: 5284-5295 - [c66]Douglas W. Oard, Marine Carpuat, Petra Galuscáková, Joseph Barrow, Suraj Nair, Xing Niu, Han-Chin Shing, Weijia Xu, Elena Zotkina, Kathleen R. McKeown, Smaranda Muresan, Efsun Selin Kayi, Ramy Eskander, Chris Kedzie, Yan Virin, Dragomir R. Radev, Rui Zhang, Mark J. F. Gales, Anton Ragni, Kenneth Heafield:
Surprise Languages: Rapid-Response Cross-Language IR. EVIA@NTCIR 2019 - [c65]Ugur Koc, Shiyi Wei, Jeffrey S. Foster, Marine Carpuat, Adam A. Porter:
An Empirical Assessment of Machine Learning Approaches for Triaging Reports of a Java Static Analysis Tool. ICST 2019: 288-299 - [c64]Marianna J. Martindale, Marine Carpuat, Kevin Duh, Paul McNamee:
Identifying Fluently Inadequate Output in Neural and Statistical Machine Translation. MTSummit (1) 2019: 233-243 - [c63]Xing Niu, Weijia Xu, Marine Carpuat:
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation. NAACL-HLT (1) 2019: 442-448 - [c62]Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, Kevin Duh:
Curriculum Learning for Domain Adaptation in Neural Machine Translation. NAACL-HLT (1) 2019: 1903-1915 - [c61]Weijia Xu, Xing Niu, Marine Carpuat:
Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation. NAACL-HLT (1) 2019: 2047-2053 - [c60]Eleftheria Briakou, Marine Carpuat:
The University of Maryland's Kazakh-English Neural Machine Translation System at WMT19. WMT (2) 2019: 134-140 - [e11]Timothy Baldwin, Marine Carpuat:
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019 - Tutorial Abstracts. Association for Computational Linguistics 2019 [contents] - [i11]Weijia Xu
Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation. CoRR abs/1904.04079 (2019) - [i10]Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, Kevin Duh:
Curriculum Learning for Domain Adaptation in Neural Machine Translation. CoRR abs/1905.05816 (2019) - [i9]Sweta Agrawal, Marine Carpuat:
Controlling Text Complexity in Neural Machine Translation. CoRR abs/1911.00835 (2019) - [i8]Xing Niu, Marine Carpuat:
Controlling Neural Machine Translation Formality with Synthetic Supervision. CoRR abs/1911.08706 (2019) - 2018
- [c59]Xing Niu, Michael J. Denkowski, Marine Carpuat:
Bi-Directional Neural Machine Translation with Synthetic Parallel Data. NMT@ACL 2018: 84-91 - [c58]Marianna J. Martindale, Marine Carpuat:
Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MT. AMTA (1) 2018: 13-25 - [c57]Xing Niu, Sudha Rao, Marine Carpuat:
Multi-Task Neural Models for Translating Between Styles Within and Across Languages. COLING 2018: 1008-1021 - [c56]Shyam Upadhyay, Yogarshi Vyas, Marine Carpuat, Dan Roth:
Robust Cross-Lingual Hypernymy Detection Using Dependency Context. NAACL-HLT 2018: 607-618 - [c55]Yogarshi Vyas, Xing Niu, Marine Carpuat:
Identifying Semantic Divergences in Parallel Text without Annotations. NAACL-HLT 2018: 1503-1515 - [c54]Alexander Zhang, Marine Carpuat:
UMD at SemEval-2018 Task 10: Can Word Embeddings Capture Discriminative Attributes? SemEval@NAACL-HLT 2018: 1022-1026 - [c53]Weijia Xu, Marine Carpuat:
The University of Maryland's Chinese-English Neural Machine Translation Systems at WMT18. WMT (shared task) 2018: 535-540 - [e10]Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat:
Proceedings of The 12th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2018, New Orleans, Louisiana, USA, June 5-6, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-20-9 [contents] - [i7]Marianna J. Martindale, Marine Carpuat:
Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MT. CoRR abs/1802.06041 (2018) - [i6]Yogarshi Vyas, Xing Niu, Marine Carpuat:
Identifying Semantic Divergences in Parallel Text without Annotations. CoRR abs/1803.11112 (2018) - [i5]Shyam Upadhyay, Yogarshi Vyas, Marine Carpuat, Dan Roth:
Robust Cross-lingual Hypernymy Detection using Dependency Context. CoRR abs/1803.11291 (2018) - [i4]Xing Niu, Michael J. Denkowski, Marine Carpuat:
Bi-Directional Neural Machine Translation with Synthetic Parallel Data. CoRR abs/1805.11213 (2018) - [i3]Xing Niu, Sudha Rao, Marine Carpuat:
Multi-Task Neural Models for Translating Between Styles Within and Across Languages. CoRR abs/1806.04357 (2018) - [i2]Xuan Zhang, Gaurav Kumar, Huda Khayrallah, Kenton Murray, Jeremy Gwinnup, Marianna J. Martindale, Paul McNamee, Kevin Duh, Marine Carpuat:
An Empirical Exploration of Curriculum Learning for Neural Machine Translation. CoRR abs/1811.00739 (2018) - [i1]Xing Niu, Weijia Xu
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation. CoRR abs/1811.01116 (2018) - 2017
- [c52]Marine Carpuat, Yogarshi Vyas, Xing Niu:
Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation. NMT@ACL 2017: 69-79 - [c51]Xing Niu, Marianna J. Martindale, Marine Carpuat:
A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output. EMNLP 2017: 2814-2819 - [c50]Yogarshi Vyas, Marine Carpuat:
Detecting Asymmetric Semantic Relations in Context: A Case-Study on Hypernymy Detection. *SEM 2017: 33-43 - [e9]Allyson Ettinger, Spandana Gella, Matthieu Labeau, Cecilia Ovesdotter Alm, Marine Carpuat, Mark Dredze:
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Student Research Workshop. Association for Computational Linguistics 2017, ISBN 978-1-945626-56-2 [contents] - [e8]Steven Bethard, Marine Carpuat, Marianna Apidianaki, Saif M. Mohammad, Daniel M. Cer, David Jurgens:
Proceedings of the 11th International Workshop on Semantic Evaluation, SemEval@ACL 2017, Vancouver, Canada, August 3-4, 2017. Association for Computational Linguistics 2017 [contents] - 2016
- [c49]Ahmed Elgohary, Marine Carpuat:
Learning Monolingual Compositional Representations via Bilingual Supervision. ACL (2) 2016 - [c48]Xing Niu, Marine Carpuat:
The UMD Machine Translation Systems at IWSLT 2016: English-to-French Translation of Speech Transcripts. IWSLT 2016 - [c47]Yogarshi Vyas, Marine Carpuat:
Sparse Bilingual Word Representations for Cross-lingual Lexical Entailment. HLT-NAACL 2016: 1187-1197 - [c46]Allyson Ettinger, Philip Resnik, Marine Carpuat:
Retrofitting Sense-Specific Word Vectors Using Parallel Text. HLT-NAACL 2016: 1378-1383 - [c45]Nathan Schneider, Dirk Hovy
SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM). SemEval@NAACL-HLT 2016: 546-559 - [e7]Steven Bethard, Daniel M. Cer, Marine Carpuat, David Jurgens, Preslav Nakov, Torsten Zesch:
Proceedings of the 10th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2016, San Diego, CA, USA, June 16-17, 2016. The Association for Computer Linguistics 2016, ISBN 978-1-941643-95-2 [contents] - 2015
- [c44]Amittai Axelrod, Marine Carpuat:
The UMD machine translation systems at IWSLT 2015. IWSLT (Evaluation Campaign) 2015 - [c43]Amittai Axelrod, Yogarshi Vyas, Marianna J. Martindale, Marine Carpuat:
Class-based N-gram language difference models for data selection. IWSLT 2015 - [c42]Marine Carpuat:
Connotation in Translation. WASSA@EMNLP 2015: 9-15 - [e6]Bonnie L. Webber, Marine Carpuat, Andrei Popescu-Belis, Christian Hardmeier:
Proceedings of the Second Workshop on Discourse in Machine Translation, DiscoMT@EMNLP 2015, Lisbon, Portugal, September 17, 2015. Association for Computational Linguistics 2015, ISBN 978-1-941643-32-7 [contents] - [e5]Dekai Wu, Marine Carpuat, Eneko Agirre, Nora Aranberri:
Proceedings of the Ninth Workshop on Syntax, Semantics and Structure in Statistical Translation, SSST@NAACL-HLT 2015, Denver, Colorado, USA, 4 June 2015. Association for Computational Linguistics 2015, ISBN 978-1-941643-41-9 [contents] - 2014
- [j4]Ales Tamchyna, Fabienne Braune, Alexander M. Fraser, Marine Carpuat, Hal Daumé III, Chris Quirk:
Integrating a Discriminative Classifier into Phrase-based and Hierarchical Decoding. Prague Bull. Math. Linguistics 101: 29-42 (2014) - [c41]Junyi Jessy Li, Marine Carpuat, Ani Nenkova:
Assessing the Discourse Factors that Influence the Quality of Machine Translation. ACL (2) 2014: 283-288 - [c40]Marine Carpuat:
Mixed Language and Code-Switching in the Canadian Hansard. CodeSwitch@EMNLP 2014: 107-115 - [c39]Junyi Jessy Li, Marine Carpuat, Ani Nenkova:
Cross-lingual Discourse Relation Analysis: A corpus study and a semi-supervised classification system. COLING 2014: 577-587 - [c38]Cyril Goutte, Michel Simard, Marine Carpuat:
CNRC-TMT: Second Language Writing Assistant System Description. SemEval@COLING 2014: 192-197 - [c37]Cyril Goutte, Serge Léger, Marine Carpuat:
The NRC System for Discriminating Similar Languages. VarDial@COLING 2014: 139-145 - [c36]Marine Carpuat, Cyril Goutte, George F. Foster:
Linear Mixture Models for Robust Machine Translation. WMT@ACL 2014: 499-509 - [e4]Dekai Wu, Marine Carpuat, Xavier Carreras, Eva Maria Vecchi:
Proceedings of SSST@EMNLP 2014, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation, Doha, Qatar, 25 October 2014. Association for Computational Linguistics 2014, ISBN 978-1-937284-96-1 [contents] - 2013
- [j3]Ann Irvine, John Morgan, Marine Carpuat, Hal Daumé III, Dragos Stefan Munteanu:
Measuring Machine Translation Errors in New Domains. Trans. Assoc. Comput. Linguistics 1: 429-440 (2013) - [c35]Marine Carpuat, Hal Daumé III, Katharine Henry, Ann Irvine, Jagadeesh Jagarlamudi, Rachel Rudinger
SenseSpotting: Never let your parallel data tie you to an old domain. ACL (1) 2013: 1435-1445 - [c34]Cyril Goutte, Serge Léger, Marine Carpuat:
Feature Space Selection and Combination for Native Language Identification. BEA@NAACL-HLT 2013: 96-100 - [c33]Atsushi Fujita, Marine Carpuat:
FUN-NRC: Paraphrase-augmented Phrase-based SMT Systems for NTCIR-10 PatentMT. NTCIR 2013 - [c32]Marine Carpuat:
NRC: A Machine Translation Approach to Cross-Lingual Word Sense Disambiguation (SemEval-2013 Task 10). SemEval@NAACL-HLT 2013: 188-192 - [c31]Marine Carpuat:
A Semantic Evaluation of Machine Translation Lexical Choice. SSST@NAACL-HLT 2013: 1-10 - [e3]Marine Carpuat, Lucia Specia, Dekai Wu:
Proceedings of the Seventh Workshop on Syntax, Semantics and Structure in Statistical Translation, SSST@NAACL-HLT 2013, Atlanta, GA, USA, 13 June 2013. Association for Computational Linguistics 2013 [contents] - 2012
- [j2]Marine Carpuat, Yuval Marton, Nizar Habash
Improved Arabic-to-English statistical machine translation by reordering post-verbal subjects for word alignment. Mach. Transl. 26(1-2): 105-120 (2012) - [c30]Marine Carpuat, Cyril Goutte, Pierre Isabelle:
Filtering and routing multilingual documents for translation. CISDA 2012: 1-7 - [c29]Marine Carpuat, Michel Simard:
The Trouble with SMT Consistency. WMT@NAACL-HLT 2012: 442-449 - [e2]Marine Carpuat, Lucia Specia, Dekai Wu:
Proceedings of the Sixth Workshop on Syntax, Semantics and Structure in Statistical Translation, SSST@ACT 2012, Jeju, Korea, 12 July 2012. Association for Computational Linguistics 2012, ISBN 978-1-937284-38-1 [contents] - 2011
- [e1]Dekai Wu, Marianna Apidianaki, Marine Carpuat, Lucia Specia:
Proceedings of Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation, SSST@ACL 2011, Portland, Oregon, USA, 23 June, 2011. Association for Computational Linguistics 2011, ISBN 978-1-932432-99-2 [contents] - 2010
- [c28]Marine Carpuat, Yuval Marton, Nizar Habash:
Improving Arabic-to-English Statistical Machine Translation by Reordering Post-Verbal Subjects for Alignment. ACL (2) 2010: 178-183 - [c27]Marine Carpuat, Mona T. Diab:
Task-based Evaluation of Multiword Expressions: a Pilot Study in Statistical Machine Translation. HLT-NAACL 2010: 242-245 - [c26]Marine Carpuat, Yuval Marton, Nizar Habash:
Reordering Matrix Post-verbal Subjects for Arabic-to-English SMT. TALN (Articles longs) 2010: 292-301
2000 – 2009
- 2009
- [c25]Marine Carpuat:
One Translation Per Discourse. SEW@NAACL-HLT 2009: 19-27 - [c24]Marine Carpuat:
Toward Using Morphology in French-English Phrase-Based SMT. WMT@EACL 2009: 150-154 - 2008
- [c23]Marine Carpuat, Dekai Wu:
Evaluation of Context-Dependent Phrasal Translation Lexicons for Statistical Machine Translation. LREC 2008 - 2007
- [c22]Marine Carpuat, Dekai Wu:
Improving Statistical Machine Translation Using Word Sense Disambiguation. EMNLP-CoNLL 2007: 61-72 - [c21]Yihai Shen, Chi-kiu Lo, Marine Carpuat, Dekai Wu:
HKUST statistical machine translation experiments for IWSLT 2007. IWSLT 2007: 84-88 - [c20]Marine Carpuat, Dekai Wu:
Context-dependent phrasal translation lexicons for statistical machine translation. MTSummit 2007 - [c19]Marine Carpuat, Dekai Wu:
How phrase sense disambiguation outperforms word sense disambiguation for statistical machine translation. TMI 2007 - 2006
- [j1]Marine Carpuat, Pascale Fung, Grace Ngai
Aligning word senses using bilingual corpora. ACM Trans. Asian Lang. Inf. Process. 5(2): 89-120 (2006) - [c18]Xiaofeng Yu, Marine Carpuat, Dekai Wu:
Boosting for Chinese Named Entity Recognition. SIGHAN@COLING/ACL 2006: 150-153 - [c17]Marine Carpuat, Yihai Shen, Xiaofeng Yu, Dekai Wu:
Toward integrating word sense and entity disambiguation into statistical machine translation. IWSLT 2006: 37-44 - [c16]Dekai Wu
Inversion transduction Grammar Coverage of Arabic-English Word Alignment for Tree-Structured Statistical Machine Translation. SLT 2006: 234-237 - 2005
- [c15]Marine Carpuat, Dekai Wu:
Word Sense Disambiguation vs. Statistical Machine Translation. ACL 2005: 387-394 - [c14]Marine Carpuat, Dekai Wu:
Evaluating the Word Sense Disambiguation Performance of Statistical Machine Translation. IJCNLP (companion) 2005 - 2004
- [c13]Dekai Wu
A Kernel PCA Method for Superior Word Sense Disambiguation. ACL 2004: 637-644 - [c12]Weifeng Su, Marine Carpuat, Dekai Wu:
Semi-supervised training of a Kernel PCA-Based Model for Word Sense Disambiguation. COLING 2004 - [c11]Dekai Wu, Grace Ngai, Marine Carpuat:
Why Nitpicking Works: Evidence for Occam's Razor in Error Correctors. COLING 2004 - [c10]Dekai Wu, Grace Ngai
NTPC: N-fold Templated Piped Correction. IJCNLP 2004: 476-486 - [c9]Dekai Wu, Grace Ngai, Marine Carpuat:
Raising the Bar: Stacked Conservative Error Correction Beyond Boosting. LREC 2004 - [c8]Lu-Feng Zhai, Pascale Fung, Richard M. Schwartz, Marine Carpuat, Dekai Wu:
Using N-best lists for Named Entity Recognition from Chinese Speech. HLT-NAACL (Short Papers) 2004 - [c7]Marine Carpuat, Weifeng Su, Dekai Wu:
Augmenting ensemble classification for Word Sense Disambiguation with a kernel PCA model. SENSEVAL@ACL 2004 - [c6]Grace Ngai, Dekai Wu, Marine Carpuat, Chi-Shing Wang, Chi-Yung Wang:
Semantic role labeling with Boosting, SVMs, Maximum Entropy, SNOW, and Decision Lists. SENSEVAL@ACL 2004 - [c5]Richard Wicentowski, Grace Ngai, Dekai Wu, Marine Carpuat, Emily Thomforde, Adrian Packel:
Joining forces to resolve lexical ambiguity: East meets West in Barcelona. SENSEVAL@ACL 2004 - 2003
- [c4]Dekai Wu, Grace Ngai, Marine Carpuat:
A Stacked, Voted, Stacked Model for Named Entity Recognition. CoNLL 2003: 200-203 - 2002
- [c3]Grace Ngai, Marine Carpuat, Pascale Fung:
Identifying Concepts Across Languages: A First Step towards a Corpus-based Approach to Automatic Ontology Alignment. COLING 2002 - [c2]Dekai Wu, Grace Ngai, Marine Carpuat, Jeppe Larsen, Yongsheng Yang:
Boosting for Named Entity Recognition. CoNLL 2002 - 2001
- [c1]Marine Carpuat, Pascale Fung:
CLEF 2001 Bilingual Task: Simple Dictionary-Based Query Translation. CLEF (Working Notes) 2001
Coauthor Index
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