In:Theoretical Issues in Second Language Research: Challenges and new directions
Edited by Junya Fukuta, John Matthews and Shigenori Wakabayashi
[Studies in Bilingualism 69] 2026
► pp. 151–173
Chapter 7From universals to learning
Generating new predictions for SLA theories using artificial language learning
This content is being prepared for publication; it may be subject to changes.
Abstract
Artificial grammar or language learning paradigms (henceforth ALL) have long been a core tool for
understanding language acquisition. Findings from laboratory learning of miniature language systems have shed light on the
cognitive mechanisms responsible for natural language learning, starting with studies on implicit learning in the 1960s (e.g.,
Estes, 1964; Reber, 1967), and
studies on statistical/implicit learning starting in the 1990s (e.g., Saffran, Aslin,
& Newport, 1996; Aslin, Saffran, & Newport, 1998; Williams, 1999). While artificial grammar learning paradigms of the past often
featured meaning-free sequences of symbols, presented to participants via passive exposure, now many studies include much
richer linguistic content, as well as communicative and social context. This opens the door to new connections with second
language acquisition (SLA) research. In this chapter, I survey recent findings from the experimental linguistics literature,
where a major new area of research has emerged, using artificial language learning experiments to test predicted links between
cognition and typological universals, or generalisations. Of course, universals have long had a place in SLA (e.g., Rutherford, 1984; Carlisle, 2001; L. White, 2003). However, the empirical basis for purported universals has begun to
move forward in leaps and bounds. In light of this, I would like to argue here that the time is right for renewed interaction
with the SLA community, in the service of generating and testing key predictions for theories coming from both sides.
Keywords: artificial language learning, typology, word order, cognition
Article outline
- 1.Introduction
- 2.Artificial language learning and word order typology
- 2.1Word order harmony
- 2.2Universal 20
- 2.3Universal 1: Basic word order
- 3.Links to typology, links to SLA
- 3.1Adult learners in ALL and SLA
- 3.2Early stages of learning
- 3.3Two languages in one mind
- 3.4Implications for second language teaching
- 4.Conclusions, and beyond word order
- Author queries
Note References
References (94)
Aslin, R. N., Saffran, J. R., & Newport, E. L. (1998). Computation
of conditional probability statistics by 8-month-old infants. Psychological
Science, 9(4), 321–324.
Bardel, C., & Falk, Y. (2007). The
role of the second language in third language acquisition: The case of Germanic
syntax. Second Language
Research, 23(4), 459–484.
(2012). Behind
the L2 status factor: A neurolinguistic framework for L3
research. In J. Cabrelli, J. Rothman, & S. Flynn (Eds.), Third
language acquisition in
adulthood (pp. 61–78). New York, NY: John Benjamins.
Bybee, J., & Slobin, D. (1992). Why
small children cannot change language on their own: Suggestions from the English past
tense. In Papers from the 5th international conference on
historical
linguistics (pp. 29–37). New York, NY: John Benjamins.
Carlisle, R. S. (2001). Syllable
structure universals and second language acquisition. International Journal of English
Studies, 1(1), 1–19.
Carr, J., Smith, K., Culbertson, J., & Kirby, S. (2020). Simplicity
and informativeness in semantic category
systems. Cognition, 202, 104289.
Chater, N., & Vit´anyi, P. (2003). Simplicity:
A unifying principle in cognitive science? Trends in Cognitive
Sciences, 7(1), 19–22.
Christiansen, M., & Chater, N. (2008). Language
as shaped by the brain. Behavioral and Brain
Sciences, 31(5), 489–509.
Cinque, G. (2005). Deriving
Greenberg’s Universal 20 and its exceptions. Linguistic
Inquiry, 36(3), 315–332.
Cook, V. (1988). Language
learners extrapolation of word order in microartificial languages. Language
Learning, 38(4), 497–529.
Cournane, A. (2017). In
defense of the child innovator. In E. Mathieu & R. Truswell (Eds.), Micro-change
and macro-change in diachronic
syntax (pp. 10–24). Oxford, UK: Oxford University Press.
Culbertson, J. (2023). Artificial
language learning. In J. Sprouse (Ed.), Oxford
handbook of experimental
syntax (pp. 271–300). New York, NY: Oxford University Press.
Culbertson, J., & Adger, D. (2014). Language
learners privilege structured meaning over surface frequency. Proceedings of the
National Academy of
Sciences, 111(16), 5842–5847.
Culbertson, J., Franck, J., Braquet, G., Barrera Navarro, M., & Arnon, I. (2020). A
learning bias for word order harmony: Evidence from speakers of non-harmonic
languages. Cognition, 204, 104392.
Culbertson, J., & Kirby, S. (2016). Simplicity
and specificity in language: Domain general biases have domain specific
effects. Frontiers in
Psychology, 6, 1964.
Culbertson, J., & Newport, E. L. (2015). Harmonic
biases in child learners: In support of language
universals. Cognition, 139, 71–82.
(2017). Innovation
of word order harmony across development. Open Mind: Discoveries in Cognitive
Science, 1(2), 91–100.
Culbertson, J., Schouwstra, M., & Kirby, S. (2020). From
the world to word order: Deriving biases in noun phrase order from statistical properties of the
world. Language, 96(3), 696–717.
Culbertson, J., Smolensky, P., & Legendre, G. (2012). Learning
biases predict a word order
universal. Cognition, 122, 306–329.
Dale, R., & Lupyan, G. (2012). Understanding
the origins of morphological diversity: The linguistic niche hypothesis. Advances in
complex
systems, 15(03n04), 1150017.
Diessel, H. (2011). Grammaticalization
and language acquisition. In B. Heine & H. Norrog (Eds.), Handbook
of
grammaticalization (pp. 130–141). Oxford: Oxford University Press.
Egurtzegi, A., Sauppe, S., Isasi-Isasmendi, A., de la Hidalga, G. M., BornkesselSchlesewsky, I., Schlesewsky, M., … Andrews, C. (2025). The
effect of animacy on the agent preference: Self-paced reading evidence from
Basque. Memory &
Cognition, 1–20.
Estes, W. K. (1964). All-or-none
processes in learning and retention. American
Psychologist, 19(1), 16–25.
Evans, N., & Levinson, S. C. (2009). The
myth of language universals: Language diversity and its importance for cognitive
science. Behavioral and Brain
Sciences, 32(5), 429–448.
Fedzechkina, M., Jaeger, T. F., & Newport, E. L. (2012). Language
learners restructure their input to facilitate efficient communication. Proceedings of
the National Academy of
Sciences, 109(44), 17897–17902.
Feh´er, O., Wonnacott, E., & Smith, K. (2016). Structural
priming in artificial languages and the regularisation of unpredictable
variation. Journal of Memory and
Language, 91, 158–180.
Ferdinand, V., Kirby, S., & Smith, K. (2019). The
cognitive roots of regularization in
language. Cognition, 184, 53–68.
Fletcher, L., Rabagliati, H., & Culbertson, J. (2024). Autistic
traits, communicative efficiency, and social biases shape language learning in autistic and allistic
learners. Cognitive
Science, 48(11), e70007.
Futrell, R., Hickey, T., Lee, A., Lim, E., Luchkina, E., & Gibson, E. (2015). Cross-linguistic
gestures reflect typological universals: A subject-initial, verb-final bias in speakers of diverse
languages. Cognition, 136, 215–221.
Gibson, E., Futrell, R., Piandadosi, S. T., Dautriche, I., Mahowald, K., Bergen, L., & Levy, R. (2019). How
efficiency shapes human language. Trends in Cognitive
Sciences, 23(5), 389–407.
Goldin-Meadow, S., So, W. C., Ozyurek, A., & Mylander, C. (2008). The
nat-¨ ural order of events: How speakers of different languages represent events
nonverbally. Proceedings of the National Academy of
Sciences, 105(27), 9163–9168.
Greenberg, J. (1963). Some
universals of grammar with particular reference to the order of meaningful
elements. In J. Greenberg (Ed.), Universals
of
language (pp. 73–113). Cambridge, MA: MIT Press.
Hammarstr¨om, H., Forkel, R., Haspelmath, M., & Bank, S. (2025). Glottolog
5.2.1. Retrieved June 11,
2025, from
Heine, B., Claudi, U., & Hünnenmeyer, F. (1991). Grammaticalization. The University of Chicago Press.
Huber, E., Sauppe, S., Isasi-Isasmendi, A., Bornkessel-Schlesewsky, I., Merlo, P., & Bickel, B. (2024). Surprisal
from language models can predict erps in processing predicate-argument structures only if enriched by an agent
preference principle. Neurobiology of
Language, 5(1), 167–200.
Hudson Kam, C., & Newport, E. (2009). Getting
it right by getting it wrong: When learners change languages. Cognitive
Psychology, 59(1), 30–66.
Keogh, A., Kirby, S., & Culbertson, J. (2024). Predictability
and variation in language are differentially affected by learning and
production. Cognitive
Science, 48(4), e13435.
Kirby, S., Cornish, H., & Smith, K. (2008). Cumulative
cultural evolution in the laboratory: An experimental approach to the origins of structure in human
language. Proceedings of the National Academy of
Sciences, 105(31), 10681–10686.
Kirby, S., Griffiths, T., & Smith, K. (2014). Iterated
learning and the evolution of language. Current Opinion in
Neurobiology, 28, 108–114.
Kirby, S., Tamariz, M., Cornish, H., & Smith, K. (2015). Compression
and communication in the cultural evolution of linguistic
structure. Cognition, 141, 87–102.
Levinson, S. C., & Evans, N. (2010). Time
for a sea-change in linguistics: Response to comments on ‘the myth of language
universals’. Lingua, 120(12), 2733–2758.
Lupyan, G., & Dale, R. (2010). Language
structure is partly determined by social structure. PloS
One, 5(1), e8559.
Maldonado, M., & Culbertson, J. (2020). Person
of interest: Experimental investigations into the learnability of person
systems. Linguistic
Inquiry, 53(2), 295–336.
Malik-Moraleda, S., Taliaferro, M., Shannon, S., Jhingan, N., Swords, S., Peterson, D. J., … et al. (2025). Constructed
languages are processed by the same brain mechanisms as natural languages. Proceedings
of the National Academy of
Sciences, 122(12), e2313473122.
Martin, A., Adger, D., Abels, K., Kanampiu, P., & Culbertson, J. (2024). A
universal cognitive bias in word order: Evidence from speakers whose language goes against
it. Psychological
Science, 35(3), 304–311.
Martin, A., & Culbertson, J. (2020). Revisiting
the suffixing preference: Native language affixation patterns influence perception of
sequences. Psychological
Science, 31(9), 1107–1116.
Martin, A., Kanampiu, P., Adger, D., Abels, K., & Culbertson, J. (2020). Does
a universal hierarchical structure underlie word order
typology? In A. Ravignani et al. (Eds.), The
evolution of language. Proceedings of EVOLANG 13.
Martin, A., Ratitamkul, T., Abels, K., Adger, D., & Culbertson, J. (2019). Cross-linguistic
evidence for cognitive universals in the noun phrase. Linguistics
Vanguard, 5(1).
Meir, I., Aronoff, M., B¨orstell, C., Hwang, S.-O., Ilkbasaran, D., Kastner, I., … Sandler, W. (2017). The
effect of being human and the basis of grammatical word order: Insights from novel communication systems and young
sign
languages. Cognition, 158, 189–207.
Montrul, S. A. (2004). The
acquisition of Spanish: Morphosyntactic development in monolingual and bilingual L1 acquisition and adult L2
acquisition. John Benjamins.
Moreton, E., & Pater, J. (2012). Structure
and substance in artificial-phonology learning. Part I: Structure. Language and
Linguistics
Compass, 6(11), 686–701.
Motamedi, Y., Wolters, L., Schouwstra, M., & Kirby, S. (2022). The
effects of iconicity and conventionalization on word order preferences. Cognitive
Science, 46(10), e13203.
Nicoladis, E. (2006). Cross-linguistic
transfer in adjective–noun strings by preschool bilingual children. Bilingualism:
Language and
Cognition, 9(1), 15–32.
Ono, H., Kubo, T., Sato, M., Sakai, H., & Koizumi, M. (2023). Word
orders, gestures, and a view of the world from os
languages. In Issues in Japanese psycholinguistics from
comparative perspectives. Volume 1: Cross-linguistic
studies (pp. 63–87). De Gruyter.
Prévost, P. (2009). The
acquisition of French: The development of inflectional morphology and syntax in L1 acquisition, bilingualism, and L2
acquisition. John Benjamins.
Pycha, A., Nowak, P., Shin, E., & Shosted, R. (2003). Phonological
rulelearning and its implications for a theory of vowel
harmony. In Proceedings of the 22nd West Coast Conference on
Formal
Linguistics (pp. 101–114). Cascadilla Press.
Reber, A. S. (1967). Implicit
learning of artificial grammars. Journal of Verbal Learning and Verbal
Behavior, 6(6), 855–863.
(1969). Transfer
of syntactic structure in synthetic languages. Journal of Experimental
Psychology, 81(1), 115.
Rizzi, L. (2004). Locality
and left periphery. In A. Belletti (Ed.), Structures
and beyond. The cartography of syntactic
structures (Vol. 3). Oxford University Press.
Roberts, G., & Fedzechkina, M. (2018). Social
biases modulate the loss of redundant forms in the cultural evolution of
language. Cognition, 171, 194–201.
Rothman, J. (2011). L3
syntactic transfer selectivity and typological determinacy: The typological primacy
model. Second Language
Research, 27(1), 107–127.
Rutherford, W. (1984). Language
universals and second language acquisition. John Benjamins.
Saffran, J. R., Aslin, R. N., & Newport, E. L. (1996). Statistical
learning by 8-month-old
infants. Science, 274(5294), 1926–1928.
Saldana, C., Herce, B., & Bickel, B. (2022). More
or less unnatural: Semantic similarity shapes the learnability and cross-linguistic distribution of unnatural
syncretism in morphological paradigms. Open
Mind, 6, 183–210.
Saldana, C., Kanampiu, P., & Culbertson, J. (2025). Gender
comes first: Experimental evidence for the representation of gender closer to the noun stem than number across
linguistic
populations. Linguistic Inquiry, 1–43.
Saldana, C., Oseki, Y., & Culbertson, J. (2021). Cross-linguistic
patterns of morpheme order reflect cognitive biases: An experimental study of case and number
morphology. Journal of Memory and
Language, 118, 104204.
Sauppe, S., Næss, ˚A., Roversi, G., Meyer, M., Bornkessel-Schlesewsky, I., & Bickel, B. (2023). An
agent-first preference in a patient-first language during sentence
comprehension. Cognitive
Science, 47(9), e13340.
Schouwstra, M., & de Swart, H. (2014). The
semantic origins of word
order. Cognition, 131(3), 431 — 436.
Semenuks, A. (2021). It’s
not so simple: morphosyntactically simpler languages are not always easier to
learn. In Proceedings of the annual meeting of the Cognitive
Science
Society, 43 (pp. 2437–2443). Cognitive Science Society.
Smith, K., & Culbertson, J. (2025). Communicative
pressures shape language during communication (not learning): Evidence from case-marking in artificial
languages. Cognition, 263(24).
Smith, K., Tamariz, M., & Kirby, S. (2013). Linguistic
structure is an evolutionary trade-off between simplicity and
expressivity. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings
of the 35th annual meeting of the Cognitive Science
Society (pp. 3442–3447). Cognitive Science Society.
Smith, K., & Wonnacott, E. (2010). Eliminating
unpredictable variation through iterated
learning. Cognition, 116(3), 444–449.
Sneller, B., & Roberts, G. (2018). Why
some behaviors spread while others don’t: A laboratory simulation of dialect
contact. Cognition, 170, 298–311.
Tabullo, A., Arismendi, M., Wainselboim, A., Primero, G., Vernis, S., Segura, E., … Yorio, A. (2012). On
the learnability of frequent and infrequent word orders: An artificial language learning
study. The Quarterly Journal of Experimental
Psychology, 65(9), 1848–1863.
Tal, S., & Arnon, I. (2022). Redundancy
can benefit learning: Evidence from word order and case
marking. Cognition, 224, 105055.
Thompson, B., Kirby, S., & Smith, K. (2016). Culture
shapes the evolution of cognition. Proceedings of the National Academy of
Sciences, 113(16), 4530–4535.
Van der Hulst, H. (2016). Monovalent
‘features’ in phonology. Language and Linguistics
Compass, 10(2), 83–102.
Wagner, S., Smith, K., & Culbertson, J. (2019). Acquiring
agglutinating and fusional languages can be similarly difficult: Evidence from an adaptive tracking
study. In Proceedings of the 41st annual meeting of the
Cognitive Science
Society (pp. 3050–3056). Cognitive Science Society.
Wang, F., Kirby, S., & Culbertson, J. (2025). The
learning bias for crosscategory harmony is sensitive to semantic similarity: Evidence from artificial language
learning
experiments. Language, 101(1).
Westergaard, M., Mitrofanova, N., Mykhaylyk, R., & Rodina, Y. (2017). Crosslinguistic
influence in the acquisition of a third language: The linguistic proximity
model. International Journal of
Bilingualism, 21(6), 666–682.
White, J. (2014). Evidence
for a learning bias against saltatory phonological
alternations. Cognition, 130(1), 96–115.
Williams, J. N. (1999). Memory,
attention, and inductive learning. Studies in Second Language
Acquisition, 21(1), 1–48.
Wilson, C. (2006). Learning
phonology with substantive bias: An experimental and computational study of velar
palatalization. Cognitive
Science, 30(5), 945–982.
Yang, C. D. (2000). Internal
and external forces in language change. Language variation and
change, 12(3), 231–250.
Zaslavsky, N. (2019). Information-theoretic
principles in the evolution of semantic systems (Unpublished doctoral
dissertation). The Hebrew University of Jerusalem.
