Syntactic Structures

Finding structure in time

Elman, J. L. (1990) · Cognitive Science · doi:10.1207/s15516709cog1402_1 · Cited by 11,212 · see citing works

Grounded cognition.

Barsalou, L. W. (2008) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.103006.093639 · Cited by 5,936 · see citing works

Linguistic complexity: locality of syntactic dependencies

Gibson, E. (1998) · Cognition · doi:10.1016/s0010-0277(98)00034-1 · Cited by 2,537 · see citing works

FREQUENCY EFFECTS IN LANGUAGE PROCESSING: A Review with Implications for Theories of Implicit and Explicit Language Acquisition

Ellis, N. C. (2002) · Studies in Second Language Acquisition · doi:10.1017/s0272263102002024 · Cited by 2,230 · see citing works

Learning and development in neural networks: the importance of starting small

Elman, J. L. (1993) · Cognition · doi:10.1016/0010-0277(93)90058-4 · Cited by 1,988 · see citing works

Statistical learning of tone sequences by human infants and adults

Saffran, J. R., Johnson, E. K., Aslin, R. N., & Newport, E. L. (1999) · Cognition · doi:10.1016/s0010-0277(98)00075-4 · Cited by 1,429 · see citing works

Distributed representations, simple recurrent networks, and grammatical structure

Elman, J. L. (1991) · Machine Learning · doi:10.1007/bf00114844 · Cited by 1,354 · see citing works

A Grammar of Institutions

Crawford, S. E. S., & Ostrom, E. (1995) · American Political Science Review · doi:10.2307/2082975 · Cited by 1,362 · see citing works

The interplay of evidence and consequences in the validation of performance assessments

Messick, S. (1994) · Educational Researcher · doi:10.3102/0013189x023002013 · Cited by 1,315 · see citing works

Computation of conditional probability statistics by 8-month-old infants

Aslin, R. N., Saffran, J. R., & Newport, E. L. (1998) · Psychological Science · doi:10.1111/1467-9280.00063 · Cited by 1,189 · see citing works

Cortical tracking of hierarchical linguistic structures in connected speech

Ding, N., Melloni, L., Zhang, H., Tian, X., & Poeppel, D. (2016) · Nature Neuroscience · doi:10.1038/nn.4186 · Cited by 1,059 · see citing works

Becoming syntactic

Chang, F., Dell, G. S., & Bock, K. (2006) · Psychological Review · doi:10.1037/0033-295x.113.2.234 · Cited by 984 · see citing works

Cortical representation of the constituent structure of sentences

Pallier, C., Devauchelle, A.-D., & Dehaene, S. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1018711108 · Cited by 691 · see citing works

The brain differentiates human and non-human grammars: functional localization and structural connectivity.

Friederici, A. D., Bahlmann, J., Heim, S., Schubotz, R. I., & Anwander, A. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0509389103 · Cited by 734 · see citing works

Can an Ape Create a Sentence?

Terrace, H. S., Petitto, L. A., Sanders, R. J., & Bever, T. G. (1979) · Science · doi:10.1126/science.504995 · Cited by 687 · see citing works

Social Feedback to Infants’ Babbling Facilitates Rapid Phonological Learning

Goldstein, M. H., & Schwade, J. A. (2008) · Psychological Science · doi:10.1111/j.1467-9280.2008.02117.x · Cited by 620 · see citing works

NMDA receptors, place cells and hippocampal spatial memory

Nakazawa, K., McHugh, T. J., Wilson, M. A., & Tonegawa, S. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1385 · Cited by 619 · see citing works

Good debt or bad debt: Detecting semantic orientations in economic texts

Malo, P., Sinha, A., Korhonen, P., Wallenius, J., & Takala, P. (2014) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23062 · Cited by 513 · see citing works

Shared computational principles for language processing in humans and deep language models

Goldstein, A., Zada, Z., Buchnik, E., Schain, M., Price, A., Aubrey, B., Nastase, S. A., Feder, A., Emanuel, D., Cohen, A., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01026-4 · Cited by 447 · see citing works

The Cortical Organization of Syntax

Matchin, W., & Hickok, G. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhz180 · Cited by 370 · see citing works

Acoustic sequences in non‐human animals: a tutorial review and prospectus

Kershenbaum, A., Blumstein, D. T., Roch, M. A., Akçay, Ç., Backus, G., Bee, M. A., Bohn, K., Cao, Y., Carter, G., Cäsar, C., et al. (2016) · Biological Reviews · doi:10.1111/brv.12160 · Cited by 337 · see citing works

Modelling the N400 brain potential as change in a probabilistic representation of meaning

Rabovsky, M., Hansen, S. S., & McClelland, J. L. (2018) · Nature Human Behaviour · doi:10.1038/s41562-018-0406-4 · Cited by 290 · see citing works

Neurophysiological dynamics of phrase-structure building during sentence processing

Nelson, M. J., El Karoui, I., Giber, K., Yang, X., Cohen, L., Koopman, H., Cash, S. S., Naccache, L., Hale, J. T., Pallier, C., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1701590114 · Cited by 319 · see citing works

Thinking about diagnostic thinking: a 30-year perspective

Elstein, A. S. (2009) · Advances in Health Sciences Education · doi:10.1007/s10459-009-9184-0 · Cited by 205 · see citing works

Cognitive Load Theory: Historical Development and Relation to Other Theories

Moreno, R., & Park, B. (2010) · Cognitive Load Theory · doi:10.1017/cbo9780511844744.003 · Cited by 204 · see citing works

Is Language the Key to Human Intelligence?

Premack, D. (2004) · Science · doi:10.1126/science.1093993 · Cited by 201 · see citing works

Theoretical Limitations of Self-Attention in Neural Sequence Models

Hahn, M. (2020) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00306 · Cited by 165 · see citing works

Ontogeny and phylogeny of language

Yang, C. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1216803110 · Cited by 142 · see citing works

Emergence in Cognitive Science

McClelland, J. L. (2010) · Topics in Cognitive Science · doi:10.1111/j.1756-8765.2010.01116.x · Cited by 135 · see citing works

Syntactic Structure from Deep Learning

Linzen, T., & Baroni, M. (2021) · Annual Review of Linguistics · doi:10.1146/annurev-linguistics-032020-051035 · Cited by 202 · see citing works

Applying corpus linguistics in a health care context

Adolphs, S., Brown, B., Carter, R., Crawford, P., & Sahota, O. (2004) · Journal of Applied Linguistics · doi:10.1558/japl.1.1.9.55871 · Cited by 107 · see citing works

The liver and the moral organ

Hauser, M. D. (2006) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsl026 · Cited by 87 · see citing works

A bird's eye view of human language evolution

Berwick, R. C., Beckers, G. J. L., Okanoya, K., & Bolhuis, J. J. (2012) · Frontiers in Evolutionary Neuroscience · doi:10.3389/fnevo.2012.00005 · Cited by 81 · see citing works

Digital cultural colonialism: measuring bias in aggregated digitized content held in Google Arts and Culture

Kizhner, I., Terras, M., Rumyantsev, M., Khokhlova, V., Demeshkova, E., Rudov, I., & Afanasieva, J. (2021) · Digital Scholarship in the Humanities · doi:10.1093/llc/fqaa055 · Cited by 72 · see citing works

Systematic testing of three Language Models reveals low language accuracy, absence of response stability, and a yes-response bias

Dentella, V., Günther, F., & Leivada, E. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2309583120 · Cited by 67 · see citing works

One model for the learning of language

Yang, Y., & Piantadosi, S. T. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2021865119 · Cited by 50 · see citing works

Analysing the impact of ChatGPT in research

Picazo-Sanchez, P., & Ortiz-Martin, L. (2024) · Applied Intelligence · doi:10.1007/s10489-024-05298-0 · Cited by 46 · see citing works

Redefining Trial by Media: Towards a critical-forensic linguistic interface

Statham, S. (2016) · Discourse Approaches to Politics, Society and Culture · doi:10.1075/dapsac.67 · Cited by 37 · see citing works

Language and culture internalization for human-like autotelic AI

Colas, C., Karch, T., Moulin-Frier, C., & Oudeyer, P.-Y. (2022) · Nature Machine Intelligence · doi:10.1038/s42256-022-00591-4 · Cited by 34 · see citing works

Some Aspects of Sensory-Motor Control and Adaptation in Man

Lackner, J. R. (1981) · Intersensory Perception and Sensory Integration · doi:10.1007/978-1-4615-9197-9_5 · Cited by 31 · see citing works

Modularity and Recombination in Technological Evolution

Charbonneau, M. (2016) · Philosophy & Technology · doi:10.1007/s13347-016-0228-0 · Cited by 25 · see citing works

The Brain as a Cultural Artifact: Concepts, Actions, and Experiences within the Human Affective Niche

Gendron, M., Mesquita, B., & Barrett, L. F. (2020) · Culture, Mind, and Brain · doi:10.1017/9781108695374.010 · Cited by 20 · see citing works

Automated Measures of Syntactic Complexity in Natural Speech Production: Older and Younger Adults as a Case Study

Agmon, G., Pradhan, S., Ash, S., Nevler, N., Liberman, M., Grossman, M., & Cho, S. (2024) · Journal of Speech, Language, and Hearing Research · doi:10.1044/2023_jslhr-23-00009 · Cited by 17 · see citing works

Review Lecture - The algorithmic description of natural language

Longuet-Higgins, H. C. (1972) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1972.0079 · Cited by 15 · see citing works

The Vector Grounding Problem

Coelho Mollo, D., & Millière, R. (2026) · Philosophy and the Mind Sciences · doi:10.33735/phimisci.2026.12307 · Cited by 48 · see citing works

Evidence from formal logical reasoning reveals that the language of thought is not natural language

Kean, H., Fung, A., Jaggers, P., Chen, J., Rule, J. S., Benn, Y., Tenenbaum, J. B., Piantadosi, S. T., Varley, R. A., & Fedorenko, E. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2520095123 · Cited by 2 · see citing works