Marine Carpuat

发表

Raising the Bar: Stacked Conservative Error Correction Beyond Boosting

Marine Carpuat, Dekai Wu, Grace Ngai, 2004, LREC.

N-fold Templated Piped Correction

G. Ngai, Marine Carpuat, Wu Dekai, 2004 .

Using N-best lists for Named Entity Recognition from Chinese Speech

Pascale Fung, Richard M. Schwartz, Marine Carpuat, 2004, NAACL.

Reordering Matrix Post-verbal Subjects for Arabic-to-English SMT

Nizar Habash, Marine Carpuat, Yuval Marton, 2010, JEPTALNRECITAL.

The Impact of Sentence Alignment Errors on Phrase-Based Machine Translation Performance

George F. Foster, Cyril Goutte, Marine Carpuat, 2012, AMTA.

A Stacked, Voted, Stacked Model for Named Entity Recognition

Marine Carpuat, Dekai Wu, Grace Ngai, 2003, CoNLL.

Detecting Semantic Difference using Word Embeddings

Marine Carpuat, Alexander Zhang, 2018 .

Neural Machine Translation Systems at WMT 18

Marine Carpuat, Weijia Xu, 2018 .

Modeling Human Sentence Processing Data with a Statistical Parts-of-speech Tagger On2l – a Framework for Incremental Ontology Learning in Spoken Dialog Systems Organizers Co-chairs: Workshop Program Unsupervised Part-of-speech Tagging Employing Efficient Graph Clustering Annotation Schemes and Their

Gideon S. Mann, Eric K. Ringger, Ryan T. McDonald, 2006 .

Proceedings of the Second Workshop on Discourse in Machine Translation, DiscoMT@EMNLP 2015, Lisbon, Portugal, September 17, 2015

Bonnie Webber, Marine Carpuat, Christian Hardmeier, 2015, DiscoMT@EMNLP.

EDITOR: An Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints pdf

Marine Carpuat, Weijia Xu, Marine Carpuat, 2020, Transactions of the Association for Computational Linguistics.

Proceedings of ACL 2017, Student Research Workshop

Mark Dredze, Cecilia Ovesdotter Alm, Marine Carpuat, 2017, ACL 2017.

Lexical Semantics for Statistical Machine Translation

Pascale Fung, Marine Carpuat, Dekai Wu, 2011 .

Proceedings of SemEval-2016

Nathan Schneider, Dirk Hovy, Marine Carpuat, 2016 .

Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

Marine Carpuat, David Jurgens, Steven Bethard, 2015 .

Sixth Workshop on Syntax and Structure in Statistical Translation (SSST-6): Held in conjunction with ACL 2012, Jeju, Korea, 12 July 2012

Lucia Specia, Marine Carpuat, Dekai Wu, 2012, ACL 2012.

Proceedings of SSST-7, Seventh Workshop on Syntax, Semantics and Structure in Statistical Translation

Lucia Specia, Marine Carpuat, Dekai Wu, 2013, EMNLP 2014.

Proceedings of the Seventh Workshop on Syntax, Semantics and Structure in Statistical Translation, SSST@NAACL-HLT 2013, Atlanta, GA, USA, 13 June 2013

Lucia Specia, Marine Carpuat, Dekai Wu, 2013, SSST@NAACL-HLT.

Domain Adaptation in Machine Translation : Final Report

Alexander M. Fraser, Chris Quirk, Rachel Rudinger, 2013 .

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Alexander M. Rush, Dragomir R. Radev, Ona de Gibert, 2022, ArXiv.

Final Report of the 2005 Language Engineering Workshop on Statistical Machine Translation by Parsing

Mary Hearne, Marine Carpuat, Dekai Wu, 2005 .

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Alexander M. Rush, Dragomir R. Radev, Ona de Gibert, 2022, ArXiv.

Proceedings of the Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation

Lucia Specia, Marine Carpuat, Dekai Wu, 2011, ACL 2011.

An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models

Marine Carpuat, Sweta Agrawal, 2022, ACL.

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Alexander M. Rush, Dragomir R. Radev, Ona de Gibert, 2022, ArXiv.

Identifying Fluently Inadequate Output in Neural and Statistical Machine Translation

Kevin Duh, Marine Carpuat, Paul McNamee, 2019, MTSummit.

FUN-NRC: Paraphrase-augmented Phrase-based SMT Systems for NTCIR-10 PatentMT

Atsushi Fujita, Marine Carpuat, Marine Carpuat, 2013, NTCIR.

Identifying Semantic Divergences in Parallel Text without Annotations

Marine Carpuat, Xing Niu, Yogarshi Vyas, 2018, NAACL.

Controlling Text Complexity in Neural Machine Translation pdf

Marine Carpuat, Sweta Agrawal, Marine Carpuat, 2019, EMNLP.

EDITOR: An Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints

Marine Carpuat, Weijia Xu, Marine Carpuat, 2020, Transactions of the Association for Computational Linguistics.

Machine Translation Believability

Marianna J. Martindale, Kevin Duh, Marine Carpuat, 2021, HCINLP.

Controlling Neural Machine Translation Formality with Synthetic Supervision pdf

Marine Carpuat, Xing Niu, Marine Carpuat, 2019, AAAI.

Curriculum Learning for Domain Adaptation in Neural Machine Translation pdf

Kevin Duh, Marine Carpuat, Xuan Zhang, 2019, NAACL.

Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation pdf

Marine Carpuat, Xing Niu, Weijia Xu, 2019, NAACL.

Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation pdf

Marine Carpuat, Xing Niu, Weijia Xu, 2018, NAACL.

An Empirical Exploration of Curriculum Learning for Neural Machine Translation pdf

Huda Khayrallah, Kevin Duh, Xuan Zhang, 2018, ArXiv.

The University of Maryland’s Chinese-English Neural Machine Translation Systems at WMT18

Marine Carpuat, Weijia Xu, Marine Carpuat, 2018, WMT.

Multi-Task Neural Models for Translating Between Styles Within and Across Languages

Marine Carpuat, Xing Niu, Sudha Rao, 2018, COLING.

Bi-Directional Neural Machine Translation with Synthetic Parallel Data pdf

Marine Carpuat, Xing Niu, Michael J. Denkowski, 2018, NMT@ACL.

Improving Statistical Machine Translation Using Word Sense Disambiguation

Marine Carpuat, Dekai Wu, Dekai Wu, 2007, EMNLP.

INVERSION TRANSDUCTION GRAMMAR COVERAGE OF ARABIC-ENGLISH WORD ALIGNMENT FOR TREE-STRUCTURED STATISTICAL MACHINE TRANSLATION

Marine Carpuat, Dekai Wu, Yihai Shen, 2006, 2006 IEEE Spoken Language Technology Workshop.

Facilitating Global Team Meetings Between Language-Based Subgroups: When and How Can Machine Translation Help?

Dennis Asamoah Owusu, Marine Carpuat, Yongle Zhang, 2022, Proc. ACM Hum. Comput. Interact..

Leveraging Machine Translation to Support Distributed Teamwork Between Language-Based Subgroups: The Effects of Automated Keyword Tagging

Marine Carpuat, Shaan Chopra, Dennis Asamoah Owusu, 2021, CHI Extended Abstracts.

The UMD Machine Translation Systems at IWSLT 2016: English-to-French Translation of Speech Transcripts

Marine Carpuat, Xing Niu, Marine Carpuat, 2016, IWSLT.

Discovering Stylistic Variations in Distributional Vector Space Models via Lexical Paraphrases

Marine Carpuat, Xing Niu, Marine Carpuat, 2017 .

A Review of Human Evaluation for Style Transfer pdf

Marine Carpuat, Eleftheria Briakou, Sweta Agrawal, 2021, GEM.

Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation

Marine Carpuat, Eleftheria Briakou, Marine Carpuat, 2021, ACL.

The NRC System for Discriminating Similar Languages

Marine Carpuat, Cyril Goutte, Serge Léger, 2014, VarDial@COLING.

Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer

Marine Carpuat, Sweta Agrawal, Joel Tetreault, 2021, EMNLP.

Controlling Translation Formality Using Pre-trained Multilingual Language Models

Marine Carpuat, Sweta Agrawal, Elijah Matthew Rippeth, 2022, IWSLT.

A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output

Marine Carpuat, Xing Niu, Marianna J. Martindale, 2017, EMNLP.

The Trouble with SMT Consistency

Marine Carpuat, Michel Simard, Marine Carpuat, 2012, WMT@NAACL-HLT.

A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification

Marine Carpuat, Sweta Agrawal, Weijia Xu, 2021, FINDINGS.

Mixed Language and Code-Switching in the Canadian Hansard

Marine Carpuat, Marine Carpuat, 2014, CodeSwitch@EMNLP.

Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank

Marine Carpuat, Eleftheria Briakou, Marine Carpuat, 2020, EMNLP.

Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation

Marine Carpuat, Xing Niu, Yogarshi Vyas, 2017, NMT@ACL.

Identifying Concepts Across Languages: A First Step towards a Corpus-based Approach to Automatic Ontology Alignment

Pascale Fung, Marine Carpuat, Grace Ngai, 2002, COLING.

An empirical assessment of machine learning approaches for triaging reports of static analysis tools

A. Porter, J. Foster, Marine Carpuat, 2023, Empirical Software Engineering.

An Empirical Assessment of Machine Learning Approaches for Triaging Reports of a Java Static Analysis Tool

Adam A. Porter, Marine Carpuat, Ugur Koc, 2019, 2019 12th IEEE Conference on Software Testing, Validation and Verification (ICST).

Word Sense Disambiguation vs. Statistical Machine Translation

Marine Carpuat, Dekai Wu, Dekai Wu, 2005, ACL.

A Kernel PCA Method for Superior Word Sense Disambiguation

Marine Carpuat, Dekai Wu, Weifeng Su, 2004, ACL.

Augmenting ensemble classification for Word Sense Disambiguation with a kernel PCA model

Marine Carpuat, Dekai Wu, Weifeng Su, 2004, ACL 2004.

Toward integrating word sense and entity disambiguation into statistical machine translation

Marine Carpuat, Dekai Wu, Xiaofeng Yu, 2006, IWSLT.

Evaluating the Word Sense Disambiguation Performance of Statistical Machine Translation

Marine Carpuat, Dekai Wu, Dekai Wu, 2005, IJCNLP.

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Alexander M. Rush, Dragomir R. Radev, Ona de Gibert, 2022, ArXiv.

One Translation Per Discourse

Marine Carpuat, Marine Carpuat, 2009, SEW@NAACL-HLT.

SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)

Nathan Schneider, Dirk Hovy, Marine Carpuat, 2016, *SEMEVAL.

How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation?

Marine Carpuat, Dongdong Zhang, Weijia Xu, 2021, FINDINGS.

Aligning word senses using bilingual corpora

Pascale Fung, Marine Carpuat, Grace Ngai, 2006, TALIP.

FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN

Ke M. Tran, A. Waibel, Ondrej Bojar, 2023, IWSLT.

Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection

Marianna J. Martindale, Marine Carpuat, Weijia Xu, 2023, TACL.

Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MT pdf

Marine Carpuat, Marianna J. Martindale, Marine Carpuat, 2018, AMTA.

NRC: A Machine Translation Approach to Cross-Lingual Word Sense Disambiguation (SemEval-2013 Task 10)

Marine Carpuat, Marine Carpuat, 2013, *SEMEVAL.

Evaluation of Context-Dependent Phrasal Translation Lexicons for Statistical Machine Translation

Marine Carpuat, Dekai Wu, Dekai Wu, 2008, LREC.

Context-dependent phrasal translation lexicons for statistical machine translation

Marine Carpuat, Dekai Wu, Dekai Wu, 2007, MTSUMMIT.

How phrase sense disambiguation outperforms word sense disambiguation for statistical machine translation

Marine Carpuat, Dekai Wu, Dekai Wu, 2007, TMI.

Improved Arabic-to-English statistical machine translation by reordering post-verbal subjects for word alignment

Nizar Habash, Marine Carpuat, Yuval Marton, 2010, Machine Translation.

Can Synthetic Translations Improve Bitext Quality?

Marine Carpuat, Eleftheria Briakou, 2022, ACL.

How To Control Text Simplification? An Empirical Study of Control Tokens for Meaning Preserving Controlled Simplification

Marine Carpuat, Sweta Agrawal, 2023, arXiv.org.

Improving Arabic-to-English Statistical Machine Translation by Reordering Post-Verbal Subjects for Alignment

Nizar Habash, Marine Carpuat, Yuval Marton, 2010, ACL.

Semi-supervised training of a Kernel PCA-Based Model for Word Sense Disambiguation

Marine Carpuat, Dekai Wu, Weifeng Su, 2004, COLING.

Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation

Marine Carpuat, Yogarshi Vyas, Marine Carpuat, 2019, EMNLP.

Quality Estimation via Backtranslation at the WMT 2022 Quality Estimation Task

Marine Carpuat, Niloufar Salehi, Nikita Mehandru, 2022, WMT.

Task-based Evaluation of Multiword Expressions: a Pilot Study in Statistical Machine Translation

Marine Carpuat, Mona T. Diab, Marine Carpuat, 2010, NAACL.

Incorporating Terminology Constraints in Automatic Post-Editing

Marine Carpuat, Faisal Ladhak, Chris Kedzie, 2020, WMT.

Assessing the Discourse Factors that Influence the Quality of Machine Translation

Junyi Jessy Li, Marine Carpuat, Ani Nenkova, 2014, ACL.

HKUST statistical machine translation experiments for IWSLT 2007

Marine Carpuat, Dekai Wu, Chi-kiu Lo, 2007, IWSLT.

Feature Space Selection and Combination for Native Language Identification

Marine Carpuat, Cyril Goutte, Serge Léger, 2013, BEA@NAACL-HLT.

Proceedings of the 21st International Conference on computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

Kevin Duh, Marine Carpuat, 2006 .

Detecting Asymmetric Semantic Relations in Context: A Case-Study on Hypernymy Detection

Marine Carpuat, Yogarshi Vyas, Marine Carpuat, 2017, *SEM.

Learning Monolingual Compositional Representations via Bilingual Supervision

Marine Carpuat, Ahmed Elgohary, Ahmed Elgohary, 2016, ACL.

Measuring Machine Translation Errors in New Domains

Dragos Stefan Munteanu, John Morgan, Marine Carpuat, 2013, TACL.

What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on AI Systems

Clare R. Voss, Marine Carpuat, Claire Bonial, 2023, ArXiv.

What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems

Marine Carpuat, Claire Bonial, J. Micher, 2023, EMNLP.

Cross-lingual Discourse Relation Analysis: A corpus study and a semi-supervised classification system

Junyi Jessy Li, Marine Carpuat, Ani Nenkova, 2014, COLING.

Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors

Elaine C. Khoong, Marine Carpuat, Nikita Mehandru, 2023, EMNLP.

Multitask Models for Controlling the Complexity of Neural Machine Translation

Marine Carpuat, Sweta Agrawal, Marine Carpuat, 2020, WINLP.

Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension

Marine Carpuat, Sweta Agrawal, 2023, ArXiv.

Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation

Marine Carpuat, Weijia Xu, Xing Niu, 2020, FINDINGS.

Improving Word Sense Disambiguation in Neural Machine Translation with Salient Document Context

Marine Carpuat, Elijah Matthew Rippeth, Kevin Duh, 2023, ArXiv.

Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences

Marine Carpuat, Navita Goyal, Eleftheria Briakou, 2023, EMNLP.

Controlling Pre-trained Language Models for Grade-Specific Text Simplification

Marine Carpuat, Sweta Agrawal, 2023, Conference on Empirical Methods in Natural Language Processing.

Linear Mixture Models for Robust Machine Translation

Marine Carpuat, George F. Foster, Cyril Goutte, 2014, WMT@ACL.

Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization

Douglas W. Oard, K. McKeown, Kenneth Heafield, 2022, COLING.

Improved Arabic-to-English statistical machine translation by reordering post-verbal subjects for word alignment

Nizar Habash, Marine Carpuat, Yuval Marton, 2010, Machine Translation.

Toward Using Morphology in French-English Phrase-Based SMT

Marine Carpuat, Marine Carpuat, 2009, WMT@EACL.

Data Cartography for Low-Resource Neural Machine Translation

Marine Carpuat, Aquia Richburg, 2022, Conference on Empirical Methods in Natural Language Processing.