Cover not available

Article published In: The Mental Lexicon
Vol. 18:2 (2023) ► pp.177217

References (86)
References
Ackerman, F., Blevins, J. P., & Malouf, R. (2009). Parts and wholes: Implicative patterns in inflectional paradigms. (Cit. on pp. 3, 8). Google Scholar logo with link to Google Scholar
Ackerman, F., & Malouf, R. (2013). Morphological organization: the low conditional entropy conjecture. Language, 891, 429–464 (cit. on p. 7). Google Scholar logo with link to Google Scholar
Albright, A.C. (2003). A Quantitative Study of Spanish Paradigm Gaps. WCCFL 22: Proceedings of the 22nd West Coast Conference on Formal Linguistics (cit. on pp. 7, 20, 26).Google Scholar logo with link to Google Scholar
Albright, A. C. (2002). The Identification of Bases in Morphological Paradigms (Doctoral dissertation). University of California, Los Angeles. (Cit. on pp. 2, 8, 11, 24, 26).
Albright, A. C., & Hayes, B. P. (2003). Rules vs. Analogy in English Past Tenses: A Computational/Experimental Study. Cognition, 901, 119–161 (cit. on pp. 3, 6, 26). Google Scholar logo with link to Google Scholar
Arnon, I., & Snider, N. (2010). More than words: Frequency effects for multi-word phrases. Journal of Memory and Language, 621, 67–82 (cit. on p. 11). Google Scholar logo with link to Google Scholar
Aronoff, M. (1994). Morphology by itself. MIT Press. (Cit. on p. 3).Google Scholar logo with link to Google Scholar
Baayen, R.H. (2011). Corpus linguistics and naive discriminative learning. Revista Brasileira de Linguística Aplicada, 111, 295–328 (cit. on p. 7). Google Scholar logo with link to Google Scholar
Baayen, R. H., Chuang, Y.-Y., Shafaei-Bajestan, E., & Blevins, J. P. (2019). The discriminative lexicon: A unified computational model for the lexicon and lexical processing in comprehension and production grounded not in (de) composition but in linear discriminative learning. Complexity, 2019 (cit. on p. 7). Google Scholar logo with link to Google Scholar
Baayen, R. H., Feldman, L. B., & Schreuder, R. (2006). Morphological influences on the recognition of monosyllabic monomorphemic words. Journal of Memory and Language, 55(2), 290–313 (cit. on p. 28). Google Scholar logo with link to Google Scholar
Baayen, R.H., Hendrix, P., & Ramscar, M. (2013). Sidestepping the combinatorial explosion: an explanation of n-gram frequency effects based on naive discriminative learning. Language and Speech, 56(Pt 3), 329–47 (cit. on p. 11). Google Scholar logo with link to Google Scholar
Bauer, L., Lieber, R., & Plag, I. (2013). Oxford Reference Guide to English morphology. Oxford University Press. (Cit. on p. 3). Google Scholar logo with link to Google Scholar
Beniamine, S. (2018). Typologie quantitative des systèmes de classes flexionnelles (Doctoral dissertation). Université Paris Diderot. (Cit. on pp. 7, 13).
(2021). One lexeme, many classes: Inflection class systems as lattices. In B. Crysmann & M. Sailer (Eds.), One-to-many relations in morphology, syntax and semantics (pp. 23–51). Language Science Press. (Cit. on p. 28).Google Scholar logo with link to Google Scholar
Beniamine, S., Bonami, O., & Luís, A. R. (2021). The fine implicative structure of European Portuguese conjugation. Isogloss, 7 (1–35) (cit. on pp. 7, 9). Google Scholar logo with link to Google Scholar
Beniamine, S., Coavoux, M., & Bonami, O. (2022). French verbal frequencies in the Open Subtitles corpus [ ]. (Cit. on p. 24). Google Scholar logo with link to Google Scholar
Berko Gleason, J. (1958). The Child’s Learning of English Morphology. Word, 141 (cit. on pp. 3, 8).Google Scholar logo with link to Google Scholar
Blevins, J. P., Milin, P., & Ramscar, M. (2017). The Zipfian Paradigm Cell Filling Problem. Empirical Approaches to Linguistic Theory (cit. on p. 21). Google Scholar logo with link to Google Scholar
Blevins, J. P. (2016). Word and Paradigm Morphology. Oxford University Press. (Cit. on pp. 3, 4). Google Scholar logo with link to Google Scholar
Bonami, O., & Beniamine, S. (2016). Joint predictiveness in inflectional paradigms. Word Structure, 9 (2), 156–182 (cit. on pp. 7, 12). Google Scholar logo with link to Google Scholar
Bonami, O., & Boyé, G. (2014). De formes en thèmes. In F. Villoing, S. Leroy, & S. David (Eds.), Foisonnements morphologiques. Etudes en hommage à Françoise Kerleroux (pp. 17–45). Presses Universitaires de Paris Ouest. (Cit. on pp. 11, 12).Google Scholar logo with link to Google Scholar
Bonami, O., Caron, G., & Plancq, C. (2014). Construction d’un lexique flexionnel phonétisé libre du français. Quatrième Congrès mondial de linguistique française (cit. on pp. 13, 14, 22). Google Scholar logo with link to Google Scholar
Bonami, O., & Strnadová, J. (2019). Paradigm structure and predictability in derivational morphology. Morphology, 291 (cit. on p. 3). Google Scholar logo with link to Google Scholar
Boye, G., & Schalchli, G. (2016). The status of paradigms. In A. Hippisley & G. Stump (Eds.), The Cambridge Handbook of Morphology (pp. 206–234). Cambridge University Press. (Cit. on p. 3). Google Scholar logo with link to Google Scholar
Brooks, M. E., Kristensen, K., van Benthem, K. J., Magnusson, A., Berg, C. W., Nielsen, A., Skaug, H. J., Maechler, M., & Bolker, B. M. (2017). glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. The R Journal, 9 (2), 378–400. [URL] (cit. on pp. 14, 23)
Chomsky, N. (1965). Aspects of the theory of syntax. MIT Press. (Cit. on p. 3).Google Scholar logo with link to Google Scholar
del Prado Martín, F. M., Kostić, A., & Baayen, H. R. (2004). Putting the bits together: an information theoretical perspective on morphological processing. Cognition, 94(1), 1–18 (cit. on pp. 26, 28, 29). Google Scholar logo with link to Google Scholar
de Marneffe, M.-C., Manning, C. D., Nivre, J., & Zeman, D. (2021). Universal Dependencies. Computational Linguistics, 47 (2), 255–308 (cit. on p. 24). Google Scholar logo with link to Google Scholar
Filipović Durđević, D., & Milin, P. (2019). Information and learning in processing adjective inflection [Structure in words: the present and future of morphologicalical processing in a multidisciplinary perspective]. Cortex, 1161, 209–227 (cit. on p. 8).Google Scholar logo with link to Google Scholar
Frank, S. L., Otten, L. J., Galli, G., & Vigliocco, G. (2015). The ERP response to the amount of information conveyed by words in sentences. Brain and Language, 1401, 1–11 (cit. on p. 18). Google Scholar logo with link to Google Scholar
Guzmán Naranjo, M. (2020). Analogy, complexity and predictability in the Russian nominal inflection system. Morphology, 30(3), 219–262 (cit. on p. 7). Google Scholar logo with link to Google Scholar
Haspelmath, M., & Sims, A. D. (2010). Understanding Morphology. Arnold. (Cit. on pp. 20, 25).Google Scholar logo with link to Google Scholar
Hathout, N., Sajous, F., & Calderone, B. (2014). GLÀFF, a large versatile French lexicon. Proceedings of LREC 2014 (cit. on p. 22).Google Scholar logo with link to Google Scholar
Hockett, C. F. (1967). The Yawelmani basic verb. Language, 431, 208–222 (cit. on p. 4). Google Scholar logo with link to Google Scholar
Huddleston, R., & Pullum, G. K. (2002). The Cambridge Grammar of the English Language. Cambridge University Press. (Cit. on p. 3). Google Scholar logo with link to Google Scholar
Jun, J., & Albright, A. (2016). Speakers’ Knowledge of Alternations Is Asymmetrical: Evidence from Seoul Korean Verb Paradigms. Cambridge University Press. (Cit. on pp. 9–11, 17, 19, 30).Google Scholar logo with link to Google Scholar
Keuleers, E., & Brysbaert, M. (2010). Wuggy: A multilingual pseudoword generator. Behavior research methods, 421, 627–33 (cit. on p. 13). Google Scholar logo with link to Google Scholar
Kiefer, F. (2000). Regularity. In Morphologie: Ein internationales Handbuch zur Flexion und Wortbildung/Morphology: An international Handbook on Inflection and Word-Formation. Walter de Gruyter, Berlin. (Cit. on pp. 20, 25). Google Scholar logo with link to Google Scholar
Kutas, M., & Hillyard, S. A. (1984). Brain potentials during reading reflect word expectancy and semantic association. Nature, 3071, 161–163 (cit. on p. 18). Google Scholar logo with link to Google Scholar
Le, H., Vial, L., Frej, J., Segonne, V., Coavoux, M., Lecouteux, B., Allauzen, A., Crabbé, B., Besacier, L., & Schwab, D. (2020). FlauBERT: Unsupervised language model pre-training for French. Proceedings of the Twelfth Language Resources and Evaluation Conference, 2479–2490. [URL] (cit. on p. 24)
Lévèque, D., & Pellard, T. (2023). The implicative structure of Asama verb paradigms. Morphology, 331 (cit. on p. 7). Google Scholar logo with link to Google Scholar
Lieberman, E., Michel, J.-B., Jackson, J., Tang, T., & Nowak, M. A. (2007). Quantifying the evolutionary dynamics of language. Nature, 449 (7163), 713–716 (cit. on pp. 7, 20). Google Scholar logo with link to Google Scholar
Lison, P., & Tiedemann, J. (2016). OpenSubtitles2016: Extracting large parallel corpora from movie and TV subtitles. Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16), 923–929. [URL] (cit. on p. 24)
Lõo, K., Järvikivi, J., & Baayen, H. (2018). Whole-word frequency and inflectional paradigm size facilitate Estonian case-inflected noun processing. Cognition, 1751, 20–25 (cit. on pp. 10, 28). Google Scholar logo with link to Google Scholar
Lõo, K., Järvikivi, J., Tomaschek, F., Tucker, B., & Baayen, H. (2018). Production of Estonian case-inflected nouns shows whole-word frequency and paradigmatic effects. Morphology, 281 (cit. on pp. 10, 28). Google Scholar logo with link to Google Scholar
Lukatela, G., Gligorijević, B., Kostić, A., & Turvey, M. T. (1980). Representation of inflected nouns in the internal lexicon. Memory & Cognition, 81, 415–423 (cit. on p. 8). Google Scholar logo with link to Google Scholar
Maiden, M. (1995). A Linguistic History of Italian. Longman. [URL]. (Cit. on p. 20)
Malouf, R. (2017). Abstractive morphological learning with a recurrent neural network. Morphology, 271, 431–458 (cit. on p. 7). Google Scholar logo with link to Google Scholar
Mansfield, J. (2016). Intersecting formatives and inflectional predictability: How do speakers and learners predict the correct form of Murrinhpatha verbs? Word Structure, 91, 183–214 (cit. on p. 7). Google Scholar logo with link to Google Scholar
Marcus, G. F. (2001). The Algebraic Mind: Integrating Connectionism and Cognitive Science. The MIT Press. (Cit. on p. 8). Google Scholar logo with link to Google Scholar
Marcus, G. F., Pinker, S., Ullman, M., Hollander, M., Rosen, T. J., Xu, F., & Clahsen, H. (1992). Overregularization in Language Acquisition. Monographs of the Society for Research in Child Development, 57 (4), i–178. Retrieved September 23, 2022, from [URL] (cit. on p. 21)
Marzi, C., Ferro, M., & Pirrelli, V. (2019). A Processing-Oriented Investigation of Inflectional Complexity. Frontiers in Communication, 41 (cit. on p. 21). Google Scholar logo with link to Google Scholar
Matthews, P. H. (1965). The inflectional component of a word-and-paradigm grammar. Journal of Linguistics, 11, 139–171 (cit. on p. 3). Google Scholar logo with link to Google Scholar
(1972). Inflectional Morphology. A theoretical study based on aspects of Latin verb conjugation. Cambridge University Press. (Cit. on p. 4).Google Scholar logo with link to Google Scholar
(1991). Morphology (2nd). Cambridge University Press. (Cit. on p. 3). Google Scholar logo with link to Google Scholar
Milin, P., & Blevins, J. P. (2020). Paradigms in morphology. In Oxford Research Encyclopedia of Linguistics. Oxford University Press. (Cit. on p. 3). Google Scholar logo with link to Google Scholar
Milin, P., Kuperman, V., Kostic, A., & Baayen, H. (2009). Paradigms bit by bit: An information theoretic approach to the processing of paradigmatic structure in inflection and derivation (cit. on pp. 10, 28). Google Scholar logo with link to Google Scholar
Moscoso del Prado Martín, F., Kostić, A., & Baayen, R. H. (2004). Putting the bits together: an information theoretical perspective on morphological processing. Cognition, 941, 1–18 (cit. on p. 10). Google Scholar logo with link to Google Scholar
Pellegrini, M. (2021). Patterns of interpredictability and principal parts in Latin verb paradigms: An entropy-based approach. Journal of Latin Linguistics, 20(1) (cit. on p. 7).Google Scholar logo with link to Google Scholar
Pinker, S. (1999). Words and Rules: The Ingredients Of Language. Basic Books. [URL]. (Cit. on p. 21)
Pinker, S., & Prince, A. (1988). On language and connectionism: Analysis ofa parallel distributed processing model of language acquisition. Cognition, 28(1), 73193 (cit. on p. 8). Google Scholar logo with link to Google Scholar
Prasada, S., & Pinker, S. (1993). Generalisation of regular and irregular morphological patterns. Language and Cognitive Processes, 81, 1–56 (cit. on p. 3). Google Scholar logo with link to Google Scholar
Ramscar, M. (2021). A discriminative account of the learning, representation and processing of inflection systems. Language, Cognition and Neuroscience (cit. on p. 7).Google Scholar logo with link to Google Scholar
Rayner, K., Ashby, J., Pollatsek, A., & Reichle, E. (2004). The Effects of Frequency and Predictability on Eye Fixations in Reading: Implications for the E-Z Reader Model. Journal of experimental psychology. Human perception and performance, 301, 720–32 (cit. on p. 18). Google Scholar logo with link to Google Scholar
Robins, R. H. (1959). In defense of WP. Transactions of the Philological Society, 581, 116–144 (cit. on p. 4). Google Scholar logo with link to Google Scholar
Rumelhart, D. E., & McClelland, J. L. (1986). On Learning the Past Tenses of English Verbs. In Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 2: Psychological and Biological Models (pp. 216–271). MIT Press. (Cit. on pp. 7, 8). Google Scholar logo with link to Google Scholar
Schafer, R. (2015). Processing and Querying Large Web Corpora with the COW14 architecture. Proceedings of Challenges in the Management of Large Corpora, 28–34 (cit. on pp. 23, 24).Google Scholar logo with link to Google Scholar
Seyfarth, S., Ackerman, F., & Malouf, R. (2014). Implicative organization facilitates morphological learning. Proceedings of the 40th Annual Meeting of the Berkeley Linguistics Society, 480–494 (cit. on p. 9). Google Scholar logo with link to Google Scholar
Sims, A. D. (2015). Inflectional defectiveness. Cambridge University Press. (Cit. on pp. 7, 20). Google Scholar logo with link to Google Scholar
Sims, A. D., & Parker, J. (2016). How inflection class systems work: On the informativity of implicative structure. Word Structure, 91, 215–239 (cit. on p. 7). Google Scholar logo with link to Google Scholar
Smith, N. J., & Levy, R. (2011). Cloze but no cigar: The complex relationship between cloze, corpus, and subjective probabilities in language processing. Proceedings of the Annual Meeting of the Cognitive Science Society, 331 (cit. on p. 18).Google Scholar logo with link to Google Scholar
(2013). The effect of word predictability on reading time is logarithmic. Cognition, 128(3), 302–319 (cit. on p. 18). Google Scholar logo with link to Google Scholar
Štekauer, P. (2014). Derivational Paradigms. In R. Lieber & P. Štekauer (Eds.), The Oxford Handbook of Derivational Morphology (pp. 354–369). Oxford University Press. (Cit. on p. 3).Google Scholar logo with link to Google Scholar
Stump, G. T. (2001). Inflectional Morphology. A theory of paradigm structure. Cambridge University Press. (Cit. on p. 7). Google Scholar logo with link to Google Scholar
Stump, G. T., & Finkel, R. (2013). Morphological Typology: From Word to Paradigm. Cambridge University Press. (Cit. on pp. 3, 9). Google Scholar logo with link to Google Scholar
Thymé, A., Ackerman, F., & Elman, J. (1994). Finnish Nominal Inflection: Paradigmatic Patterns and Token Analogy. In S. D. Lima, R. Corrigan, & G. K. Iverson (Eds.), The Reality of Linguistic Rules. John Benjamins. (Cit. on pp. 7, 8). Google Scholar logo with link to Google Scholar
Ullman, M. (2001). A neurocognitive perspective on language: The declarative/procedural model. Nature reviews. Neuroscience, 21, 717–26 (cit. on p. 8). Google Scholar logo with link to Google Scholar
Wilmoth, S., & Mansfield, J. (2021). Inflectional predictability and prosodic morphology in Pitjantjatjara and Yankunytjatjara. Morphology (cit. on p. 7). Google Scholar logo with link to Google Scholar
Wu, S., Cotterell, R., & O’Donnell, T. J. (2019). Morphological Irregularity Correlates with Frequency. CoRR, abs/1906.11483. [URL] (cit. on pp. 7, 11, 21, 22, 25)
Wunderlich, D., & Fabri, R. (1995). Minimalist Morphology: An approach to inflection. Zeitschrift für Sprachwissenschaft, 14(2), 236–294 (cit. onp. 3). Google Scholar logo with link to Google Scholar
Wurzel, W. U. (1984). Flexionsmorphologie und NatÃŒdichkeit: Ein beitrag zur mor-phologischen theoriebildung. Akademie Verlag. (Cit. on p. 4).Google Scholar logo with link to Google Scholar
(1989). Inflectional Morphology and Naturalness (cit. on p. 4).Google Scholar logo with link to Google Scholar
Yang, C. (2016). The Price of Linguistic Productivity: How Children Learn to Break the Rules of LanguageHow Children Learn to Break the Rules of Language. (Cit. on p. 21).Google Scholar logo with link to Google Scholar
Zehr, J., & Schwarz, F. (2018). PennController for Internet Based Experiments (cit. on p. 14).Google Scholar logo with link to Google Scholar
Cited by (1)

Cited by one other publication

Copot, Maria & Olivier Bonami
2024. Baseless derivation: the behavioural reality of derivational paradigms. Cognitive Linguistics 35:2  pp. 221 ff. DOI logo

This list is based on CrossRef data as of 27 november 2025. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.

Mobile Menu Logo with link to supplementary files background Layer 1 prag Twitter_Logo_Blue