Morten H. Christiansen

About

Professor Morten H. Christiansen is associated with the Cornell University Department of Psychology and is part of the Cognitive Science of Language Lab. The page does not provide specific details about his research focus, background, or key contributions. Therefore, no further biographical information is available from the provided text.

Research topics

• Natural Language Processing
• Artificial Intelligence
• Computer Science
• Linguistics
• Cognitive science
• Psychology

Selected publications

• Large Language Models Demonstrate the Potential of Statistical Learning in Language

  Cognitive Science · 2023 · 129 citations

  Senior authorCorresponding

  To what degree can language be acquired from linguistic input alone? This question has vexed scholars for millennia and is still a major focus of debate in the cognitive science of language. The complexity of human language has hampered progress because studies of language-especially those involving computational modeling-have only been able to deal with small fragments of our linguistic skills. We suggest that the most recent generation of Large Language Models (LLMs) might finally provide the…

  DOI

• Distributional Semantics: Meaning Through Culture and Interaction

  Topics in Cognitive Science · 2024-11-26 · 15 citations

  articleSenior authorCorresponding

  Mastering how to convey meanings using language is perhaps the main challenge facing any language learner. However, satisfactory accounts of how this is achieved, and even of what it is for a linguistic item to have meaning, are hard to come by. Nick Chater was one of the pioneers involved in the early development of one of the most successful methodologies within the cognitive science of language for discovering meaning: distributional semantics. In this article, we review this approach and dis…

  PublisherDOI

• Statistical learning subserves a higher purpose: Novelty detection in an information foraging system.

  Psychological Review · 2025-02-24 · 6 citations

  articleOpen accessSenior author

  (IF) system. IF aims to detect and assimilate novel recurrent patterns in the input that deviate from randomness, for which SL supplies a baseline. The broad implications of this viewpoint and their relevance to recent debates in cognitive neuroscience are discussed. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

  PublisherDOI

• Capturing individual differences in sentence processing: How reliable is the self-paced reading task?

  Behavior Research Methods · 2024-02-20 · 6 citations

  articleOpen accessSenior author
  PublisherOA PDFDOI

• Context, not grammar, is key to structural priming

  Trends in Cognitive Sciences · 2025-06-19 · 5 citations

  reviewSenior author
  PublisherDOI

Frequent coauthors

• Carlos Gómez‐Rodríguez

  Universidade da Coruña

  385 shared

• Ramon Ferrer‐i‐Cancho

  Universitat Politècnica de Catalunya

  195 shared

• Padraic Monaghan

  Lancaster University

  82 shared

• Nick Chater

  University of Warwick

  75 shared

• Fabio Trecca

  Aarhus University

  72 shared

• Anders Højen

  Aarhus University

  63 shared

• Riccardo Fusaroli

  Aarhus University

  59 shared

• Dorthe Bleses

  Aarhus University

  50 shared

Labs

• Cognitive Science of Language LabPI

Awards & honors

• Fellow of Cognitive Science Society

Similar researchers at Cornell University

• David Randh-100
• Shimon Edelmanh-47
• Michael H. Goldsteinh-40