NLPExplorer

Marine Carpuat

Number of Papers:- 123

Number of Citations:- 407

First ACL Paper:- 2002

Latest ACL Paper:- 2024

Venues:-

CodeSwitch

NAACL

CoNLL

NMT

Fig-Lang

COLING

WiNLP

AMTA

MTSummit

HCINLP

WASSA

EMNLP

Findings

HLT

RANLP

VarDial

SemEval

JEP/TALN/RECITAL

LREC

Eval4NLP

TACL

DiscoMT

ACL

EACL

SIGHAN

WMT

NGT

*SEMEVAL

GEM

IJCNLP

SEW

MMTLRL

IWSLT

SSST

BEA

Co-Authors:-

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Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations F i n d i n g s - N A A C L

Dayeon Ki | Marine Carpuat |

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

Sweta Agrawal | Marine Carpuat |

AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages NAACL

Keep it Private: Unsupervised Privatization of Online Text NAACL

Calvin Bao | Marine Carpuat |

XLAVS-R: Cross-Lingual Audio-Visual Speech Representation Learning for Noise-Robust Speech Perception ACL

FINDINGS OF THE IWSLT 2024 EVALUATION CAMPAIGN IWSLT

Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024) IWSLT

Elizabeth Salesky | Marcello Federico | Marine Carpuat |

How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability? TACL

Neha Srikanth | Marine Carpuat | Rachel Rudinger |

SpeechQE: Estimating the Quality of Direct Speech Translation EMNLP

HyoJung Han | Kevin Duh | Marine Carpuat |

Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning F i n d i n g s - E M N L P

Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023) IWSLT

Elizabeth Salesky | Marcello Federico | Marine Carpuat |

FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN IWSLT

Bridging Background Knowledge Gaps in Translation with Automatic Explicitation EMNLP

HyoJung Han | Jordan Boyd-Graber | Marine Carpuat |

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

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

Sweta Agrawal | Marine Carpuat |

A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation EMNLP

Sandra Sandoval | Jieyu Zhao | Marine Carpuat | Hal Daumé III |

Towards Conceptualization of “Fair Explanation”: Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators EMNLP

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

Eleftheria Briakou | Navita Goyal | Marine Carpuat |

Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection TACL

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

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

Sweta Agrawal | Marine Carpuat |

Controlling Translation Formality Using Pre-trained Multilingual Language Models ACL IWSLT

Elijah Rippeth | Sweta Agrawal | Marine Carpuat |

Can Synthetic Translations Improve Bitext Quality? ACL

Eleftheria Briakou | Marine Carpuat |

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies NAACL

Marine Carpuat | Marie-Catherine de Marneffe | Ivan Vladimir Meza Ruiz |

Findings of the Association for Computational Linguistics: NAACL 2022 Findings NAACL

Marine Carpuat | Marie-Catherine de Marneffe | Ivan Vladimir Meza Ruiz |

Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Workshop 2: Corpus Generation and Corpus Augmentation for Machine Translation) AMTA

Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization COLING

Quality Estimation via Backtranslation at the WMT 2022 Quality Estimation Task WMT

Sweta Agrawal | Nikita Mehandru | Niloufar Salehi | Marine Carpuat |

Data Cartography for Low-Resource Neural Machine Translation F i n d i n g s - E M N L P

Aquia Richburg | Marine Carpuat |

SimQA: Detecting Simultaneous MT Errors through Word-by-Word Question Answering EMNLP

HyoJung Han | Marine Carpuat | Jordan Boyd-Graber |

Machine Translation Believability EACL HCINLP

Marianna Martindale | Kevin Duh | Marine Carpuat |

The University of Maryland, College Park Submission to Large-Scale Multilingual Shared Task at WMT 2021 EMNLP WMT

Saptarashmi Bandyopadhyay | Tasnim Kabir | Zizhen Lian | Marine Carpuat |

A Review of Human Evaluation for Style Transfer ACL GEM IJCNLP

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

Weijia Xu | Shuming Ma | Dongdong Zhang | Marine Carpuat |

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

Sweta Agrawal | Weijia Xu | Marine Carpuat |

Models and Tasks for Human-Centered Machine Translation MMTLRL RANLP

Marine Carpuat |

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

Eleftheria Briakou | Sweta Agrawal | Joel Tetreault | Marine Carpuat |

The UMD Submission to the Explainable MT Quality Estimation Shared Task: Combining Explanation Models with Sequence Labeling EMNLP Eval4NLP

Tasnim Kabir | Marine Carpuat |

Rule-based Morphological Inflection Improves Neural Terminology Translation EMNLP

Weijia Xu | Marine Carpuat |

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

Weijia Xu | Marine Carpuat |

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

Eleftheria Briakou | Marine Carpuat |

Generating Diverse Translations via Weighted Fine-tuning and Hypotheses Filtering for the Duolingo STAPLE Task ACL NGT WS

Sweta Agrawal | Marine Carpuat |

Multitask Models for Controlling the Complexity of Neural Machine Translation ACL WS WiNLP

Sweta Agrawal | Marine Carpuat |

Evaluating a Bi-LSTM Model for Metaphor Detection in TOEFL Essays ACL Fig-Lang WS

Kevin Kuo | 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 EMNLP WMT

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

Weijia Xu | Xing Niu | Marine Carpuat |

Incorporating Terminology Constraints in Automatic Post-Editing EMNLP WMT

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

Eleftheria Briakou | Marine Carpuat |

Controlling Text Complexity in Neural Machine Translation EMNLP

Sweta Agrawal | Marine Carpuat |

Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation EMNLP

Yogarshi Vyas | Marine Carpuat |

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

Xing Niu | Weijia Xu | Marine Carpuat |

Curriculum Learning for Domain Adaptation in Neural Machine Translation NAACL

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

Weijia Xu | Xing Niu | Marine Carpuat |

The University of Maryland’s Kazakh-English Neural Machine Translation System at WMT19 ACL WMT WS

Eleftheria Briakou | Marine Carpuat |

Identifying Fluently Inadequate Output in Neural and Statistical Machine Translation MTSummit WS

Marianna Martindale | Marine Carpuat | Kevin Duh | Paul McNamee |

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

Xing Niu | Sudha Rao | Marine Carpuat |

Robust Cross-Lingual Hypernymy Detection Using Dependency Context NAACL

Shyam Upadhyay | Yogarshi Vyas | Marine Carpuat | Dan Roth |

Identifying Semantic Divergences in Parallel Text without Annotations NAACL

Yogarshi Vyas | Xing Niu | Marine Carpuat |

UMD at SemEval-2018 Task 10: Can Word Embeddings Capture Discriminative Attributes? *SEMEVAL

Alexander Zhang | Marine Carpuat |

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

Marianna Martindale | Marine Carpuat |

Bi-Directional Neural Machine Translation with Synthetic Parallel Data ACL WS

Xing Niu | Michael Denkowski | Marine Carpuat |

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

Weijia Xu | Marine Carpuat |

Proceedings of The 12th International Workshop on Semantic Evaluation SemEval

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

Xing Niu | Marianna Martindale | Marine Carpuat |

Proceedings of ACL 2017, Student Research Workshop ACL

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

Yogarshi Vyas | Marine Carpuat |

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

Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation NMT WS

Marine Carpuat | Yogarshi Vyas | Xing Niu |

Discovering Stylistic Variations in Distributional Vector Space Models via Lexical Paraphrases WS

Xing Niu | Marine Carpuat |

Sparse Bilingual Word Representations for Cross-lingual Lexical Entailment NAACL

Yogarshi Vyas | Marine Carpuat |

Retrofitting Sense-Specific Word Vectors Using Parallel Text NAACL

Allyson Ettinger | Philip Resnik | Marine Carpuat |

Learning Monolingual Compositional Representations via Bilingual Supervision ACL

Ahmed Elgohary | Marine Carpuat |

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

Nathan Schneider | Dirk Hovy | Anders Johannsen | Marine Carpuat |

Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) SemEval

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

Xing Niu | Marine Carpuat |

Proceedings of the Second Workshop on Discourse in Machine Translation DiscoMT WS

Bonnie Webber | Marine Carpuat | Andrei Popescu-Belis | Christian Hardmeier |

Connotation in Translation WASSA WS

Marine Carpuat |

Proceedings of the Ninth Workshop on Syntax, Semantics and Structure in Statistical Translation SSST WS

Dekai Wu | Marine Carpuat | Eneko Agirre | Nora Aranberri |

The UMD machine translation systems at IWSLT 2015 IWSLT

Amittai Axelrod | Marine Carpuat |

Class-based N-gram language difference models for data selection IWSLT

Amittai Axelrod | Yogarshi Vyas | Marianna Martindale | Marine Carpuat |

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

Junyi Jessy Li | Marine Carpuat | Ani Nenkova |

Assessing the Discourse Factors that Influence the Quality of Machine Translation ACL

Junyi Jessy Li | Marine Carpuat | Ani Nenkova |

CNRC-TMT: Second Language Writing Assistant System Description *SEMEVAL

Cyril Goutte | Michel Simard | Marine Carpuat |

Linear Mixture Models for Robust Machine Translation WMT WS

Marine Carpuat | Cyril Goutte | George Foster |

Mixed Language and Code-Switching in the Canadian Hansard CodeSwitch WS

Marine Carpuat |

Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation SSST WS

Dekai Wu | Marine Carpuat | Xavier Carreras | Eva Maria Vecchi |

The NRC System for Discriminating Similar Languages VarDial WS

Cyril Goutte | Serge Léger | Marine Carpuat |

SenseSpotting: Never let your parallel data tie you to an old domain ACL

Measuring Machine Translation Errors in New Domains TACL

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

Marine Carpuat |

Proceedings of the Seventh Workshop on Syntax, Semantics and Structure in Statistical Translation SSST WS

Marine Carpuat | Lucia Specia | Dekai Wu |

A Semantic Evaluation of Machine Translation Lexical Choice SSST WS

Marine Carpuat |

Feature Space Selection and Combination for Native Language Identification BEA WS

Cyril Goutte | Serge Léger | Marine Carpuat |

The Trouble with SMT Consistency WMT WS

Marine Carpuat | Michel Simard |

Proceedings of the Sixth Workshop on Syntax, Semantics and Structure in Statistical Translation SSST WS

Marine Carpuat | Lucia Specia | Dekai Wu |

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

Cyril Goutte | Marine Carpuat | George Foster |

Domain Adaptation in Machine Translation: Findings from the 2012 Johns Hopkins Summer Workshop AMTA

Hal Daumé III | Marine Carpuat | Alex Fraser | Chris Quirk |

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

Dekai Wu | Marianna Apidianaki | Marine Carpuat | Lucia Specia |

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

Marine Carpuat | Mona Diab |

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

Marine Carpuat | Yuval Marton | Nizar Habash |

Reordering Matrix Post-verbal Subjects for Arabic-to-English SMT JEP/TALN/RECITAL

Marine Carpuat | Yuval Marton | Nizar Habash |

Toward Using Morphology in French-English Phrase-Based SMT WMT WS

Marine Carpuat |

One Translation Per Discourse SEW WS

Marine Carpuat |

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

Marine Carpuat | Dekai Wu |

Improving Statistical Machine Translation Using Word Sense Disambiguation CoNLL EMNLP

Marine Carpuat | Dekai Wu |

HKUST statistical machine translation experiments for IWSLT 2007 IWSLT

Yihai Shen | Chi-kiu Lo | Marine Carpuat | Dekai Wu |

Context-dependent phrasal translation lexicons for statistical machine translation MTSummit

Marine Carpuat | Dekai Wu |

Proceedings of the COLING/ACL 2006 Student Research Workshop ACL COLING

Marine Carpuat | Kevin Duh | Rebecca Hwa |

Boosting for Chinese Named Entity Recognition SIGHAN WS

Xiaofeng Yu | Marine Carpuat | Dekai Wu |

Toward integrating word sense and entity disambiguation into statistical machine translation IWSLT

Marine Carpuat | Yihai Shen | Xiaofeng Yu | Dekai Wu |

Evaluating the Word Sense Disambiguation Performance of Statistical Machine Translation IJCNLP

Marine Carpuat | Dekai Wu |

Word Sense Disambiguation vs. Statistical Machine Translation ACL

Marine Carpuat | Dekai Wu |

Why Nitpicking Works: Evidence for Occam’s Razor in Error Correctors COLING

Dekai Wu | Grace Ngai | Marine Carpuat |

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

Weifeng Su | Marine Carpuat | Dekai Wu |

Raising the Bar: Stacked Conservative Error Correction Beyond Boosting LREC

Dekai Wu | Grace Ngai | Marine Carpuat |

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

A Kernel PCA Method for Superior Word Sense Disambiguation ACL

Dekai Wu | Weifeng Su | Marine Carpuat |

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

Marine Carpuat | Weifeng Su | Dekai Wu |

Semantic role labeling with Boosting, SVMs, Maximum Entropy, SNOW, and Decision Lists *SEMEVAL WS

Joining forces to resolve lexical ambiguity: East meets West in Barcelona *SEMEVAL WS

A Stacked, Voted, Stacked Model for Named Entity Recognition CoNLL WS

Dekai Wu | Grace Ngai | Marine Carpuat |

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

Grace Ngai | Marine Carpuat | Pascale Fung |

Boosting for Named Entity Recognition CoNLL WS