Skip to content
Licensed Unlicensed Requires Authentication Published by De Gruyter Mouton December 1, 2022

Experimental linguistics: bridging subregular linguistics and cognitive neuroscience

  • Enes Avcu ORCID logo EMAIL logo and Ryan Rhodes ORCID logo
From the journal Theoretical Linguistics

Corresponding author: Enes Avcu, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA, E-mail:
Enes Avcu and Ryan Rhodes contributed equally.

References

Anderson, John R. 1978. Arguments concerning representations for mental imagery. Psychological Review 85. 249–277. https://doi.org/10.1037/0033-295x.85.4.249.Search in Google Scholar

Aslin, Richard N., Jenny R. Saffran & Elissa L. Newport. 1998. Computation of conditional probability statistics by 8-month-old infants. Psychological Science 9. 321–324. https://doi.org/10.1111/1467-9280.00063.Search in Google Scholar

Avcu, Enes. 2019. Using cognitive neuroscience to understand learning mechanisms: Evidence from phonological processing. Newark, DE: University of Delaware dissertation.Search in Google Scholar

Avcu, Enes & Arild Hestvik. 2020. Unlearnable phonotactics. Glossa: A Journal of General Linguistics 5. 1–22. https://doi.org/10.5334/gjgl.892.Search in Google Scholar

Bach, Emmon, Colin Brown & William Marslen-Wilson. 1986. Crossed and nested dependencies in German and Dutch: A psycholinguistic study. Language & Cognitive Processes 1. 249–262. https://doi.org/10.1080/01690968608404677.Search in Google Scholar

Bahlmann, Jörg, Ricarda I. Schubotz & Angela D. Friederici. 2008. Hierarchical artificial grammar processing engages Broca’s area. NeuroImage 42. 525–534. https://doi.org/10.1016/j.neuroimage.2008.04.249.Search in Google Scholar

Chambers, Kyle E., Kristine H. Onishi & Cynthia Fisher. 2003. Infants learn phonotactic regularities from brief auditory experience. Cognition 87. B69–B77. https://doi.org/10.1016/s0010-0277(02)00233-0.Search in Google Scholar

Chomsky, Noam. 1956. Three models for the description of language. IRE Transactions on Information Theory 2. 113–124. https://doi.org/10.1109/tit.1956.1056813.Search in Google Scholar

Chomsky, Noam. 1957. Syntactic structures. The Hague: Mouton.10.1515/9783112316009Search in Google Scholar

Chomsky, Noam. 1993. Lectures on government and binding. Berlin: De Gruyter Mouton.10.1515/9783110884166Search in Google Scholar

Chomsky, Noam. 2014. The minimalist program. MIT press.10.7551/mitpress/9780262527347.001.0001Search in Google Scholar

Christiansen, Morten H. & Nick Chater. 1999. Toward a connectionist model of recursion in human linguistic performance. Cognitive Science 23. 157–205. https://doi.org/10.1207/s15516709cog2302_2.Search in Google Scholar

Dell, Gary S., Kristopher D. Reed, David R. Adams & Antje S. Meyer. 2000. Speech errors, phonotactic constraints, and implicit learning: A study of the role of experience in language production. Journal of Experimental Psychology: Learning, Memory, and Cognition 26. 1355–1367. https://doi.org/10.1037/0278-7393.26.6.1355.Search in Google Scholar

De Vries, Meinou H., Karl Magnus Petersson, Sebastian Geukes, Pienie Zwitserlood & Morten H. Christiansen. 2012. Processing multiple non-adjacent dependencies: Evidence from sequence learning. Philosophical Transactions of the Royal Society B: Biological Sciences 367. 2065–2076. https://doi.org/10.1098/rstb.2011.0414.Search in Google Scholar

Ding, Nai, Lucia Melloni, Hang Zhang, Xing Tian & David Poeppel. 2016. Cortical tracking of hierarchical linguistic structures in connected speech. Nature Neuroscience 19. 158–164. https://doi.org/10.1038/nn.4186.Search in Google Scholar

Embick, David & David Poeppel. 2015. Towards a computational(ist) neurobiology of language: Correlational, integrated and explanatory neurolinguistics. Language, Cognition and Neuroscience 30. 357–366. https://doi.org/10.1080/23273798.2014.980750.Search in Google Scholar

Evans, Nicholas & Stephen C. Levinson. 2009. The myth of language universals: Language diversity and its importance for cognitive science. Behavioral and Brain Sciences 32. 429–448. https://doi.org/10.1017/s0140525x0999094x.Search in Google Scholar

Evers, Arnold. 1975. The transformational cycle in Dutch. Utrecht: University of Utrecht dissertation.Search in Google Scholar

Finley, Sara. 2011. The privileged status of locality in consonant harmony. Journal of Memory and Language 65. 74–83. https://doi.org/10.1016/j.jml.2011.02.006.Search in Google Scholar

Finley, Sara. 2012. Testing the limits of long-distance learning: Learning beyond a three-segment window. Cognitive Science 36. 740–756. https://doi.org/10.1111/j.1551-6709.2011.01227.x.Search in Google Scholar

Finley, Sara. 2017. Locality and harmony: Perspectives from artificial grammar learning. Linguistics and Language Compass 11. 1–16. https://doi.org/10.1111/lnc3.12233.Search in Google Scholar

Finley, Sara & William Badecker. 2009. Artificial language learning and feature-based generalization. Journal of Memory and Language 61. 423–437.10.1016/j.jml.2009.05.002Search in Google Scholar

Fitch, W. Tecumseh & Marc D. Hauser. 2004. Computational constraints on syntactic processing in a nonhuman primate. Science 303. 377–380. https://doi.org/10.1126/science.1089401.Search in Google Scholar

Fitch, W. Tecumseh. 2014. Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition. Physics of Life Reviews 11. 329–364. https://doi.org/10.1016/j.plrev.2014.04.005.Search in Google Scholar

Gentner, Timothy Q., Kimberly M. Fenn, Daniel Margoliash & Howard C. Nusbaum. 2006. Recursive syntactic pattern learning by songbirds. Nature 440. 1204–1207. https://doi.org/10.1038/nature04675.Search in Google Scholar

Gibson, Edward. 1998. Linguistic complexity: Locality of syntactic dependencies. Cognition 68. 1–76. https://doi.org/10.1016/s0010-0277(98)00034-1.Search in Google Scholar

Gold, E. Mark. 1967. Language identification in the limit. Information and Control 10. 447–474. https://doi.org/10.1016/S0019-9958(67)91165-5.Search in Google Scholar

Goldrick, Matthew. 2004. Phonological features and phonotactic constraints in speech production. Journal of Memory and Language 51. 586–603. https://doi.org/10.1016/j.jml.2004.07.004.Search in Google Scholar

Hale, Mark & Charles Reiss. 2000. “Substance abuse” and “dysfunctionalism”: Current trends in phonology. Linguistic Inquiry 31. 157–169. https://doi.org/10.1162/002438900554334.Search in Google Scholar

Hansson, Gunnar. 2001. Theoretical and typological issues in consonant harmony. Berkeley: University of California dissertation.Search in Google Scholar

Heinz, Jeffrey. 2010. Learning long-distance phonotactics. Linguistic Inquiry 41. 623–661. https://doi.org/10.1162/ling_a_00015.Search in Google Scholar

Heinz, Jeffrey, Chetan Rawal & Herbert G. Tanner. 2011. Tier-based strictly local constraints for phonology. ACL 49. 58–64.Search in Google Scholar

Heinz, Jeffrey, Anna Kasprzik & Timo Kötzing. 2012. Learning in the limit with lattice-structured hypothesis spaces. Theoretical Computer Science 457. 111–127. https://doi.org/10.1016/j.tcs.2012.07.017.Search in Google Scholar

Heinz, Jeffrey & William Idsardi. 2013. What complexity differences reveal about domains in language. Topics in Cognitive Science 5. 111–131. https://doi.org/10.1111/tops.12000.Search in Google Scholar

Jardine, Adam & Kevin McMullin. 2017. Efficient learning of tier-based strictly κ-local languages. In Proceedings of language and automata theory and applications, 64–76. Berlin: Springer.10.1007/978-3-319-53733-7_4Search in Google Scholar

Johnson, Douglas C. 1972. Formal aspects of phonological description. The Hague: Mouton.10.1515/9783110876000Search in Google Scholar

Joshi, Aravind K. 1990. Processing crossed and nested dependencies: An automation perspective on the psycholinguistic results. Language & Cognitive Processes 5. 1–27. https://doi.org/10.1080/01690969008402095.Search in Google Scholar

Kaplan, Ronald M. & Martin Kay. 1994. Regular models of phonological rule systems. Computational Linguistics 20. 331–378.Search in Google Scholar

Koo, Hahn & Lydia Callahan. 2012. Tier-adjacency is not a necessary condition for learning phonotactic dependencies. Language & Cognitive Processes 27. 1425–1432. https://doi.org/10.1080/01690965.2011.603933.Search in Google Scholar

Lai, Regina. 2012. Domain specificity in learning phonology. Newark, DE: University of Delaware dissertation.Search in Google Scholar

Lai, Regina. 2015. Learnable vs. unlearnable harmony patterns. Linguistic Inquiry 46. 425–451. https://doi.org/10.1162/ling_a_00188.Search in Google Scholar

Marcus, Gary F., Sugumaran Vijayan, S. Bandi Rao & Peter M. Vishton. 1999. Rule learning by seven-month-old infants. Science 283. 77–80. https://doi.org/10.1126/science.283.5398.77.Search in Google Scholar

Marr, David. 1982. The philosophy and the approach. Vision: A Computational Investigation into the Human Representation and Processing of Visual Information, 104–123. Cambridge, MA: MIT Press.Search in Google Scholar

Marr, David & Tomaso Poggio. 1976. Cooperative computation of Stereo disparity: A cooperative algorithm is derived for extracting disparity information from stereo image pairs. Science 194. 283–287. https://doi.org/10.1126/science.968482.Search in Google Scholar

Matchin, William & Gregory Hickok. 2020. The cortical organization of syntax. Cerebral Cortex 30. 1481–1498. https://doi.org/10.1093/cercor/bhz180.Search in Google Scholar

McMullin, Kevin & Gunnar Ólafur Hansson. 2019. Inductive learning of locality relations in segmental phonology. Laboratory Phonology 10. 1–53. https://doi.org/10.5334/labphon.150.Search in Google Scholar

Moreton, Elliott. 2008. Analytic bias and phonological typology. Phonology 25. 83–127. https://doi.org/10.1017/s0952675708001413.Search in Google Scholar

Moreton, Elliott & Joe Pater. 2012a. Structure and substance in artificial-phonology learning, part I: Structure. Language and Linguistics Compass 6. 686–701. https://doi.org/10.1002/lnc3.363.Search in Google Scholar

Moreton, Elliott & Joe Pater. 2012b. Structure and substance in artificial-phonology learning, part II: Substance. Language and Linguistics Compass 6. 702–718. https://doi.org/10.1002/lnc3.366.Search in Google Scholar

Murphy, Elliot, Oscar Woolnough, Patrick S. Rollo, Zachary J. Roccaforte, Katrien Segaert, Peter Hagoort & Nitin Tandon. 2022. Minimal phrase composition revealed by intracranial recordings. Journal of Neuroscience 42. 3216–3227. https://doi.org/10.1523/jneurosci.1575-21.2022.Search in Google Scholar

Nelson, Matthew J., Imen El Karoui, Kristof Giber, Xiaofang Yang, Laurent Cohen, Hilda Koopman, Sydney S. Cash, Lionel Naccache, John T. Hale, Christophe Pallier & Stanislas Dehaene. 2017. Neurophysiological dynamics of phrase-structure building during sentence processing. Proceedings of the National Academy of Sciences 114. E3669–E3678. https://doi.org/10.1073/pnas.1701590114.Search in Google Scholar

Newport, Elissa L. & Richard N. Aslin. 2004. Learning at a distance I. Statistical learning of non-adjacent dependencies. Cognitive Psychology 48. 127–162. https://doi.org/10.1016/s0010-0285(03)00128-2.Search in Google Scholar

Ohala, John J. 1993. The phonetics of sound change. In Charles Jones (ed.), Historical linguistics: problems and perspectives, 237–278. London: Longman.Search in Google Scholar

Onishi, Kristine H., Kyle E. Chambers & Cynthia Fisher. 2002. Learning phonotactic constraints from brief auditory experience. Cognition 83. B13–B23. https://doi.org/10.1016/s0010-0277(01)00165-2.Search in Google Scholar

Onnis, Luca, Padraic Monaghan, Korin Richmond & Nick Chater. 2005. Phonology impacts segmentation in online speech processing. Journal of Memory and Language 53. 225–237. https://doi.org/10.1016/j.jml.2005.02.011.Search in Google Scholar

Petersson, Karl-Magnus, Vasiliki Folia & Peter Hagoort. 2012. What artificial grammar learning reveals about the neurobiology of syntax. Brain and Language 120. 83–95. https://doi.org/10.1016/j.bandl.2010.08.003.Search in Google Scholar

Pinker, Steven & Ray Jackendoff. 2005. The faculty of language: What’s special about it? Cognition 95. 201–236. https://doi.org/10.1016/j.cognition.2004.08.004.Search in Google Scholar

Pulvermüller, Friedemann. 2010. Brain embodiment of syntax and grammar: Discrete combinatorial mechanisms spelt out in neuronal circuits. Brain and Language 112. 167–179. https://doi.org/10.1016/j.bandl.2009.08.002.Search in Google Scholar

Pycha, Anne, Pawel Nowak, Eurie Shin & Ryan Shosted. 2003. Phonological rule-learning and its implications for a theory of vowel harmony. WCCFL 22. 423–435.Search in Google Scholar

Pylyshyn, Zenon W. 1974. Minds, machines and phenomenology: Some reflections on Dreyfus’ what computers can’t do. Cognition 3. 57–77. https://doi.org/10.1016/0010-0277(74)90023-7.Search in Google Scholar

Rambow, Owen & Aravind K. Joshi. 1994. A processing model for free word order languages. In Charles CliftonJr., Lyn Frazier & Keith Rayner (eds.), Perspectives on sentence processing, 267–301. Mahwah, NJ: Lawrence Erlbaum.Search in Google Scholar

Reber, Arthur S. 1967. Implicit learning of artificial grammars. Journal of Verbal Learning and Verbal Behavior 6. 855–863. https://doi.org/10.1016/s0022-5371(67)80149-x.Search in Google Scholar

Rose, Sharon & Rachel Walker. 2004. A typology of consonant agreement as correspondence. Language 80. 475–531. https://doi.org/10.1353/lan.2004.0144.Search in Google Scholar

Saffran, Jenny R., Richard N. Aslin & Elissa L. Newport. 1996. Statistical learning by 8-month-old infants. Science 274. 1926–1928. https://doi.org/10.1126/science.274.5294.1926.Search in Google Scholar

Saffran, Jenny R., Elizabeth K. Johnson, Richard N. Aslin & Elissa L. Newport. 1999. Statistical learning of tone sequences by human infants and adults. Cognition 70. 27–52. https://doi.org/10.1016/s0010-0277(98)00075-4.Search in Google Scholar

Saffran, Jenny R., Seth D. Pollak, Rebecca L. Seibel & Anna Shkolnik. 2007. Dog is a dog is a dog: Infant rule learning is not specific to language. Cognition 105. 669–680. https://doi.org/10.1016/j.cognition.2006.11.004.Search in Google Scholar

Sapir, Edward & Harry Hoijer. 1967. The phonology and morphology of the Navajo language. Berkeley: University of California Press.Search in Google Scholar

Schabes, Yves. 1990. Mathematical and computational aspects of lexicalized grammars. Philadelphia, PA: University of Pennsylvania dissertation.Search in Google Scholar

Shieber, Stuart M. 1985. Evidence against the context-freeness of natural language. Linguistics and Philosophy 8. 333–345. https://doi.org/10.1007/bf00630917.Search in Google Scholar

Sonnweber, Ruth, Andrea Ravignani & W. Tecumseh Fitch. 2015. Non-adjacent visual dependency learning in chimpanzees. Animal Cognition 18. 733–745. https://doi.org/10.1007/s10071-015-0840-x.Search in Google Scholar

ten Cate, Carel & Kazuo Okanoya. 2012. Revisiting the syntactic abilities of non-human animals: Natural vocalizations and artificial grammar learning. Philosophical Transactions of the Royal Society B: Biological Sciences 367. 1984–1994. https://doi.org/10.1098/rstb.2012.0055.Search in Google Scholar

Uddén, Julia, Martin Ingvar, Peter Hagoort & Karl M. Petersson. 2012. Implicit acquisition of grammars with crossed and nested non-adjacent dependencies: Investigating the push-down stack model. Cognitive Science 36. 1078–1101. https://doi.org/10.1111/j.1551-6709.2012.01235.x.Search in Google Scholar

Westphal-Fitch, Gesche, Beatrice Giustolisi, Carlo Cecchetto, Jordan S. Martin & W. Tecumseh Fitch. 2018. Artificial grammar learning capabilities in an abstract visual task match requirements for linguistic syntax. Frontiers in Psychology 9. 1210. https://doi.org/10.3389/fpsyg.2018.01210.Search in Google Scholar

Wilson, Colin. 2003. Experimental investigation of phonological naturalness. WCCFL 22. 533–546.Search in Google Scholar

Received: 2022-06-20
Accepted: 2022-07-03
Published Online: 2022-12-01
Published in Print: 2022-10-26

© 2022 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 26.9.2023 from https://www.degruyter.com/document/doi/10.1515/tl-2022-2038/pdf
Scroll to top button