Jonathan Graehl
Jonathan Graehl is a natural language processing researcher whose 1997 paper Machine Transliteration, written with Kevin Knight, won the ACL Test-of-Time Paper Award in 2022. He studied computer engineering and computer science at the University of Southern California, then worked at USC's Information Sciences Institute from 2002 to 2011 on tree transducers and syntactic translation models. In 2011 he joined SDL Language Weaver, and in 2015 he presented the hyp hypergraph toolkit with Markus Dreyer. He is a research scientist at RWS Language Weaver, where he works on transformer models for machine translation, speech and NLP, and in September 2026 he posted a multilingual privacy-tagging model to arXiv.
- Now at
- RWS Language Weaver
- Badges
Timeline
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1994–1998
Computer science at USC
He studies for a B.S. in Computer Engineering and Computer Science at the University of Southern California from 1994 to 1998.
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1997
Machine Transliteration at ACL
In 1997, he and Kevin Knight present Machine Transliteration at the 35th Annual Meeting of the Association for Computational Linguistics in Madrid. The paper builds a generative model of the transliteration process, taking Japanese katakana and English as its example.
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2002–2011
Research programmer at ISI
From 2002 to 2011, he works as a research programmer at the USC Information Sciences Institute. In 2006, he is a coauthor of Scalable Inference and Training of Context-Rich Syntactic Translation Models, presented at ACL-COLING.
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2004–2008
Training tree transducers
In 2004, he and Kevin Knight present Training Tree Transducers at HLT-NAACL. A journal paper with the same title, coauthored with Knight and Jonathan May, appears in Computational Linguistics in 2008.
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2011–2014
Joining SDL Language Weaver
In 2011, he joins SDL Language Weaver as a senior research engineer. The move follows his years as a research programmer at the USC Information Sciences Institute, which end in 2011.
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2015
The hyp hypergraph toolkit
In 2015, he and Markus Dreyer present hyp, a C++11 toolkit for representing, manipulating and optimizing weighted hypergraphs, at NAACL-HLT. Context-free Algorithms, his February 2015 arXiv paper, covers hypergraph reachability, shortest path and inside-outside pruning.
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2022
ACL Test-of-Time Paper Award
In 2022, the ACL Test-of-Time Paper Award for 1997 papers goes to Machine Transliteration, which he wrote with Kevin Knight. The award recognizes papers for long-lasting impact on natural language processing and computational linguistics, and the winners are announced at ACL 2022.
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September 2026
Privacy tagging at encoder speed
In September 2026, he posts Strong Multilingual Privacy Tagging at Encoder Speed to arXiv, a multilingual named-entity tagger for privacy redaction built by fine-tuning XLM-R-large on text in 35 languages. It reaches 88.2 redaction F1 on human-annotated test sets in seven languages, ahead of GLiNER2 at 69.1 and Microsoft Presidio at 61.4. Since 2014, he is a research scientist at RWS Language Weaver, formerly SDL Research, working on transformer models for machine translation, speech and NLP.
Career
- Since 2014RWS Language WeaverResearch Scientist
- 2011–2014SDL Language WeaverSenior Research Engineer
- 2002–2011University of Southern CaliforniaResearch Programmer
Education
- 1998University of Southern CaliforniaB.S. in Computer Engineering and Computer Science
Sources and credits
Photo: We have no published photo of Jonathan Graehl yet. Send us a free-licensed photo.
- Jonathan Graehl — Curriculum Vitae
- Machine Transliteration - ACL Anthology
- Inside ACL 2022 Test of Time Papers Awards
- Training Tree Transducers - ACL Anthology
- GitHub - sdl-research/hyp: hyp: hypergraphs toolkit
- [1502.02328] Context-free Algorithms
- Announcement of the 2022 ACL Test-of-Time Paper Award | ACL Member Portal
- [2609.38630] Strong Multilingual Privacy Tagging at Encoder Speed
- graehl (Jonathan Graehl) · GitHub

