Robert Pugh

Natural Language Processing Techniques Topic Modeling Speech Recognition and Synthesis Authorship Attribution and Profiling Phonetics and Phonology Research

Publications

Citations

598

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2017

Research summary

AI-generated

Robert Pugh works in natural language processing (NLP), the field of teaching computers to understand and generate human language, with a strong focus on Indigenous and under-resourced languages of the Americas such as Nahuatl and Maya. His work includes building language datasets (corpora and treebanks), developing tools for analyzing text and speech, and organizing shared tasks in machine translation and educational material creation for these languages.

Natural language processing for Indigenous languagesMachine translation for under-resourced languagesBuilding annotated text and speech corporaSpeech recognition and automated language scoringLanguage identification in code-switched (mixed-language) text

After a quieter period around 2020-2022, publication activity has grown noticeably, with four to five publications per year in 2023-2025.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence

Publications per year over the last 10 years — averaging 2.8/year recently

Recent publications

Publishes in

Educational Researcher×1
Lecture notes in electrical engineering×1
2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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