PeopleofSuperintelligence

Researcher

Marine Carpuat

Marine Carpuat is a computer scientist whose research helps people communicate across languages. She earned a computer science Ph.D. at Hong Kong University of Science and Technology in 2008, worked at Columbia and Canada's National Research Council, and joined Maryland's CLIP Lab in 2015. Her work includes research on cross-lingual meaning, machine-translation hallucination detection, and human-centered translation. She is a professor at UMD, a member of UMIACS and director of the CLIP Lab.

Works
264
Citations
3,949
h-index
31
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2008

    A computer science PhD

    She earns a Ph.D. in computer science from Hong Kong University of Science and Technology in 2008. Her research focuses on natural language processing and computational models for language-processing applications.

  2. By 2015

    Research at Columbia and NRC

    Before joining Maryland in January 2015, she works as a research scientist at the National Research Council of Canada and a postdoctoral researcher at Columbia University's Center for Computational Learning Systems.

  3. January 2015

    Joining UMD's CLIP Lab

    In January 2015, she joins UMD's Department of Computer Science with a joint appointment in UMIACS and becomes a member of the Computational Linguistics and Information Processing Lab (CLIP).

  4. 2018

    A language-divergence grant

    She receives the NSF CAREER Award in 2018 for “Semantic Divergences Across the Language Barrier.” The project develops computational methods to detect and explain nuanced differences between words and sentences across languages.

  5. 2020

    Cross-lingual divergence detection

    She coauthors a 2020 paper that introduces a multilingual BERT training strategy to detect fine-grained meaning differences between English and French sentences without supervision.

  6. 2023

    Detecting translation hallucinations

    She coauthors a 2023 paper that uses internal model symptoms to build a lightweight detector for hallucinations in neural machine translation.

  7. 2025

    Human-centered machine translation

    In a 2025 EMNLP paper, she argues for machine translation systems whose design aligns with users' communicative goals and real-world contexts.

  8. As of October 2026

    Professor and CLIP director

    She is a professor of computer science at the University of Maryland, a member of UMIACS and director of the CLIP Lab. Her research develops AI techniques that help people communicate across languages.

Career

  1. Since 2015University of MarylandProfessor of Computer Science
  2. 2025–2026Johns Hopkins University
  3. 2011–2015National Research Council CanadaResearch Scientist
  4. 2009–2015Columbia UniversityPostdoctoral Researcher

Education

  1. 2008Hong Kong University of Science and TechnologyPh.D. in computer science

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. BLOOM: A 176B-Parameter Open-Access Multilingual Language Model2023 · 647 citationsWith Alexander Rush, Anna Rogers, Dragomir Radev, Kyle Lo, Margaret Mitchell and Niklas Muennighoff
  2. Improving Statistical Machine Translation Using Word Sense Disambiguation2007 · 343 citationsWith Dekai Wu
  3. Word sense disambiguation vs. statistical machine translation2005 · Annual Meeting of the Association for Computational Linguistics (ACL) · 128 citationsWith Dekai Wu
  4. The Prompt Report: A Systematic Survey of Prompt Engineering Techniques2024 · 116 citationsWith Philip Resnik
  5. Curriculum Learning for Domain Adaptation in Neural Machine Translation2019 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 112 citations

From OpenAlex, as of 21 October 2026.

  1. People shaping AI work at a median of 3 organizations over a career: 3 for university starters and institute and lab starters, versus 2 for company startersIncludes University of Maryland. Across 6,853 people shaping AI with a dated work role, we estimate a median of 3 parent organizations over a career (mean 3.6), comparing role groups, starting sectors and starting decades from the 1950s to 2020–2026.
  2. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes University of Maryland. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  3. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of Maryland. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  4. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes University of Maryland. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. College Welcomes 10 New Faculty Members biology.umd.edu. Checked 20 October 2026.
  2. Marine Carpuat receives NSF Career Award cs.umd.edu. Checked 20 October 2026.
  3. Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank arxiv.org. Checked 20 October 2026.
  4. Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection aclanthology.org. Checked 20 October 2026.
  5. An Interdisciplinary Approach to Human-Centered Machine Translation aclanthology.org. Checked 20 October 2026.
  6. Marine Carpuat · UMD cs.umd.edu. Checked 20 October 2026.