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Defining the technology of today and tomorrow.

Philosophy

We strive to create an environment conducive to many different types of research across many different time scales and levels of risk.
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Philosophy

People

Our researchers drive advancements in computer science through both fundamental and applied research.
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People
Research areas

Explore all research areas

Explore all research areas

Foundational ML & Algorithms

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Computing Systems & Quantum AI

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Science, AI & Society

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization
Projects

We regularly open-source projects with the broader research community and apply our developments to Google products.
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Projects

Publications

Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science.
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Publications

Resources

We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem.
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Resources
Shaping the future, together.
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Student programs

Supporting the next generation of researchers through a wide range of programming.
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Student programs

Faculty programs

Participating in the academic research community through meaningful engagement with university faculty.
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Faculty programs

Conferences & events

Connecting with the broader research community through events is essential for creating progress in every aspect of our work.
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Conferences & events

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Careers
Blog

Parker Riley

Research Areas

Authored Publications

Google

XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages

Sebastian Ruder

Jon Clark

Alexander Gutkin

Mihir Sanjay Kale

Min Ma

Massimo Nicosia

Shruti Rijhwani

Parker Riley

Jean-Michel Sarr

Cindy Wang

John Wieting

Nitish Gupta

Anna Katanova

Christo Kirov

Dana L. Dickinson

Brian Roark

Bidisha Samanta

Connie Tao

David Adelani

Vera Axelrod

Isaac Caswell

Colin Cherry

Dan Garrette

Reeve Ingle

Melvin Johnson

Dmitry Panteleev

Partha Talukdar

Findings of the Association for Computational Linguistics: EMNLP 2023, Association for Computational Linguistics, Singapore, pp. 1856-1884

FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation

Parker Riley

Timothy Dozat

Jan A. Botha

Xavier Garcia

Dan Garrette

Jason Riesa

Orhan Firat

Noah Constant

Transactions of the Association for Computational Linguistics (2023)

The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation

Patrick Fernandes

Dan Deutsch

Mara Finkelstein

Parker Riley

André Martins

Graham Neubig

Ankush Garg

Jon Clark

Markus Freitag

Orhan Firat

Conference on Machine Translation (2023)

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