LabCompass

Francis M. Tyers

Computer Science · Indiana University

OpenAlex ORCID
Natural Language Processing TechniquesTopic ModelingSpeech Recognition and SynthesisText Readability and SimplificationSemantic Web and Ontologies

Publications

160

Citations

2,502

Est. group size

—

Recurring co-author estimate

Active years

18

Publishing since 2009

Research summary
AI-generated

Francis M. Tyers works in natural language processing, with a strong focus on building language technology for less widely-supported languages. His research covers machine translation, morphological analysis (understanding word structure), speech recognition and pronunciation training, and the creation of annotated language datasets for a wide range of languages including Turkic, K'iche', isiZulu, Saraiki, and ancient languages like Hebrew and Greek. Much of his work involves open-source tools and shared community resources.

Natural language processing for low-resource languagesMachine translation (including rule-based systems)Morphological analysis and universal dependenciesSpeech recognition and pronunciation trainingLinguistic corpus and dataset creation

Publication activity peaked around 2017-2021 (13-21 per year) and has slowed noticeably since, averaging about 5.4 per year over the last five years.

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

Publication cadence
Publications per year over the last 10 years — averaging 5.4/year recently
2017: 16 publications172018: 13 publications182019: 14 publications192020: 17 publications202021: 21 publications21212022: 7 publications222023: 6 publications232024: 9 publications242025: 3 publications252026: 2 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×15
  • Works - Scholarship, Research, & Creative Expression (Swarthmore College)×5
  • Language Resources and Evaluation×5
  • Työväentutkimus Vuosikirja×3
  • Proceedings of the Workshop on Turkic and Languages in Contact with Turkic×2

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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