Marten van Schijndel
Marten van Schijndel is a linguistics professor who studies how people and neural language models process language. He earned a linguistics BA at Western Washington University, completed a PhD at Ohio State, and joined Cornell after a Johns Hopkins postdoc. His papers tested what recurrent networks learn about syntax, examined rogue dimensions in transformer similarity measures, and used sparse autoencoders to trace semantic change in French. In 2026, he coauthored CrosSing, a dataset for evaluating language models’ reasoning about gradable adjectives; he is an associate professor of linguistics at Cornell.
- Now at
- Cornell University
- Works
- 78
- Citations
- 1,015
- h-index
- 17
Publication numbers from OpenAlex, as of 27 October 2026.
Timeline
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2009–2010
A BA at Western Washington
At Western Washington University, he earns a BA in linguistics with minors in mathematics, computer science, and Spanish. In 2009, he designs and carries out the first worldwide census of Latin scholars; he is named Classical Language Outstanding Graduate for 2009–2010.
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2012–2013
A COLING paper and NSF fellowship
In 2012, he coauthors “Accurate Unbounded Dependency Recovery using Generalized Categorial Grammars” with Luan Nguyen and William Schuler; the paper receives the COLING Best Paper Award. In 2013, he wins an NSF Graduate Research Fellowship for a proposal on general memory constraints in language and expects the fellowship to give him more time for long-term research.
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2017
A PhD on syntactic frequency
He completes a PhD in linguistics at Ohio State in 2017, with a dissertation on how syntactic frequencies influence human sentence processing.
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By 2019
A postdoc at Johns Hopkins
He completes a postdoc at Johns Hopkins University and joins Cornell in 2019.
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May 2019
Joining Cornell’s faculty
In May 2019, he accepts a tenure-track assistant professor appointment in Linguistics at Cornell, which begins in July 2019.
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2019
Quantity and syntax in language models
In 2019, he and Aaron Mueller and Tal Linzen test recurrent neural network language models with different network and training-corpus sizes. They find minimal gains from network growth beyond a certain point and diminishing returns from larger training corpora.
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2021
Rogue dimensions in transformers
In 2021, he and William Timkey show that a few rogue dimensions dominate similarity measures for contextualized language models. They find that standardization corrects for rogue dimensions and reveals underlying representational quality.
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2025
Sparse autoencoders in French text
In 2025, he and five coauthors use k-sparse autoencoders to interpret contextual word embeddings and trace the semantic evolution of French indigène(s) between 1825 and 1950.
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July 2026
CrosSing tests LLM reasoning
In July 2026, he coauthors CrosSing, a dataset for testing LLM reasoning about scalar relationships in gradable adjectives against a human baseline. The authors evaluate ten high-performing LLMs and report that some outperform humans when prompts contain no extra information. Model performance falls in certain overinformative contexts.
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As of October 2026
Associate Professor at Cornell
As of October 2026, he is an Associate Professor of Linguistics at Cornell. He studies how humans and neural language models process language, organizes C.Psyd, and co-organizes Cornell’s Natural Language Processing research group.
Career
- NowCornell UniversityAssociate Professor of Linguistics
- NowCornell UniversityOrganizer, Computational Psycholinguistic Discussions research group (C.Psyd)
- NowCornell UniversityCo-organizer, Natural Language Processing research group
- From 2019Cornell UniversityFaculty member
- Johns Hopkins UniversityPostdoctoral fellow
- Cornell UniversityAssistant Professor of Linguistics
Education
- 2017Ohio State UniversityPhD
- Western Washington UniversityBA in Linguistics
Sources and credits
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- WWU names 2009-2010 Outstanding Graduates
- 2013Q3 Reports: COLING 2012 - Admin Wiki
- Spotlight: Graduate NSF Awardees | Department of Linguistics
- OhioLINK ETD: van Schijndel, Marten
- Marten van Schijndel — Central New York Humanities Corridor
- Marten van Schijndel accepts job at Cornell | Department of Linguistics
- Quantity doesn’t buy quality syntax with neural language models - ACL Anthology
- All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality - ACL Anthology
- Disentangling language change: sparse autoencoders quantify the semantic evolution of indigeneity in French - ACL Anthology
- CrosSing: Cross-Scale Reasoning Evaluation on LLMs against Humans - ACL Anthology
- Marten van Schijndel | Department of Linguistics
