The distributional properties of prefixes influence lexical decision latencies
Evidence from Malay
Morphological processing has been extensively studied in English and European languages, but there is a growing
interest in extending the research to other languages. Here we examined Malay, an Austronesian language that is morphologically
rich. We investigated the effects of morphological constituents on lexical decisions for prefixed words. Specifically, we explored
whether readers are sensitive to any distributional properties of the prefix and root morphemes. Variables investigated included
length and family size for both prefixes and roots, as well as number of allomorphs, consistency, and productivity for prefixes.
Decision latencies were collected for 1,280 Malay words of various morphological structures. Data from the 640 prefixed words were
analyzed in a series of GAMM models. We observed a facilitative effect of root family size and an effect of several distributional
properties of prefixes on decision latencies after accounting for word frequency and length. Furthermore, a larger interaction
between frequency and several distributional properties of prefixes was found for words with three-letter prefixes than for those
with two-letter prefixes. These findings provide insight into the types of distributional properties to which Malay readers are
sensitive in multimorphemic words.
Article outline
- The Malay language (Bahasa Melayu)
- Theories of morphological processing
- Effects of morphological variables
- Effects of morphological variables in Malay
- The present study
- Method
- Distributional properties of root and prefixes
- Family size
- Family frequency
- Percentage of more frequent words (PFMF)
- Morphemic length
- Number of allomorphs
- Prefix productivity
- Prefix consistency
- Participants
- Stimuli
- Procedure
- Results
- Overview of analyses
- Regularized regression
- Generalized additive mixed models (GAMM)
- Root family size
- Distributional properties of prefixes
- Interactions with frequency and prefix length
- Other prefix variables of interest
- Discussion
- Theoretical implications
- Future directions
- Conclusion
- Note
-
References
References (56)
References
Amenta, S., & Crepaldi, D. (2012). Morphological
processing as we know it: An analytical review of morphological effects in visual word
identification. Frontiers in
Psychology,
3
1, 1 – 12.
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, 4895891.
Baayen, R. H., Dijkstra, T., & Schreuder, R. (1997). Singulars
and plurals in Dutch: Evidence for a parallel dual-route model. Journal of Memory and
Language,
37
(1), 94 – 117.
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.
Baayen, R. H. & Renouf, A. (1996). Reading
the Times: Productive lexical innovations in an English
newspaper. Language,
72
(1), 69–96.
Balling, L. W., & Baayen, R. H. (2008). Morphological
effects in auditory word recognition: Evidence from Danish. Language and Cognitive
Processes,
23
(7–8), 1159–1190.
Bertram, R., Schreuder, R., & Baayen, R. H. (2000). The
balance of storage and computation in morphological processing: The role of word formation type, affixal homophony, and
productivity. Journal of Experimental Psychology: Learning, Memory, &
Cognition,
26
1, 489–511.
Caramazza, A., Laudanna, A., & Romani, C. (1988). Lexical
access and inflectional
morphology. Cognition,
28
(3), 297–332.
Chateau, D., Knudsen, E. V. & Jared, D. (2002). Masked
priming of prefixes and the influence of spelling-meaning consistency. Brain and
Language,
81
(1–3), 587–600.
Chuang, Y., Fon, J., & Baayen, R. H. (2020). Analyzing
phonetic data with generalized additive mixed models.
Colé, P., Beauvillain, C., & Segui, J. (1989). On
the representation and processing of prefixed and suffixed derived words: a differential frequency
effect. Journal of Memory and
Language,
28
1, 1 – 13.
De Jong, N., Schreuder, R. & Baayen, R. H. (2000). The
morphological family size effect and morphology, Language and Cognitive
Processes,
15
(4/5), 329–365.
Denistia, K., and Baayen, R. H. (2019). The
Indonesian prefixes PE- and PEN-: A study in productivity and
allomorphy. Morphology,
29
(3), 385–407.
Denistia, K., & Baayen, R. H. (2021). The
morphology of Indonesian: Data and quantitative modeling. In C. Shei (Ed.), The
Routledge handbook of Asian linguistics. Routledge.
Dijkstra, T., Moscoso del Prado Martín, F., Schulpen, B., Schreuder, R., & Baayen, R. H. (2005). A
roommate in cream: Morphological family size effects on interlingual homograph
recognition. Language and Cognitive
Processes,
20
1, 7 – 41.
Ford, M. A., Davis, M. H., & Marslen-Wilson, W. D. (2010). Derivational
morphology and base morpheme frequency. Journal of Memory and
Language,
63
1, 117 – 130.
Frauenfelder, U. H., & Schreuder, R. (1992). Constraining
psycholinguistic models of morphological processing and representation: The role of
productivity (pp. 165–183). Springer Netherlands.
Friedman, J., Hastie, T., & Tibshirani, R. (2010). Regularization
paths for generalized linear models via coordinate descent. Journal of Statistical
Software,
33
(1), 1 – 22.
Friedman, J., Hastie, T., Tibshirani, R., Simon, N., Narasimhan, B., & Qian, J. (2018). Package
“glmnet”, Version 2.0–13.
Hassan, A. (2006). Morfologi. PTS Professional Publishing.
Heitmeier, M., Chuang, Y.-Y., Axen, S. D., & Baayen, R. H. (2023). Frequency
effects in linear discriminative learning. arXiv preprint
arXiv:2306.11044.
Jared, D., Jouravlev, O., & Joanisse, M. F. (2017). The
effect of semantic transparency on the processing of morphologically derived words: Evidence from decision latencies and
event-related potentials. Journal of Experimental Psychology: Learning, Memory, &
Cognition,
43
1, 422 – 450.
Järvikivi, J., Bertram, R., & Niemi, J. (2006). Affixal
salience and the processing of derivational morphology: The role of suffix allomorphy. Language
and Cognitive
Processes,
21
(4), 394 – 431.
Kauschke, C., Stenneken, P. (2008). Differences
in Noun and Verb Processing in Lexical Decision Cannot be Attributed to Word Form and Morphological Complexity
Alone. J Psycholinguist
Res
37
1, 443 – 452.
Kuperman, V., Bertram, R., & Baayen, R. H. (2010). Processing
trade-offs in the reading of Dutch derived words. Journal of Memory and
Language,
62
1, 83 – 97.
Laudanna, A., & Burani, C. (1995). Distributional
properties of derivational affixes: Implications for processing. In L. B. Feldman (Ed.), Morphological
aspects of language
processing (pp. 345 – 364). Lawrence Erlbaum Associates, Inc.
Laudanna, A., Burani, C., & Cermele, A. (1994). Prefixes
as processing units. Language and Cognitive
Processes,
9
(3), 295 – 316.
Li, Z. & Wood, S. N. (2019). Faster
model matrix crossproducts for large generalized linear models with discretized
covariates. Statistics and
Computing,
30
1, 19 – 25.
Lõo, K., Järvikivi, J., & Baayen, R. H. (2018). Whole-word
frequency and inflectional paradigm size facilitate Estonian case-inflected noun
processing. Cognition,
175
1, 20 – 25.
Mailhot, H., Wilson, M. A., Macoir, J., Deacon, S. H., & Sánchez-Gutiérrez, C. H. (2020). MorphoLex-FR:
A derivational morphological database for 38,840 French words. Behavior Research
Methods,
52
1, 1008 – 1025.
Marelli, M., & Baroni, M. (2015). Affixation
in semantic space: Modeling morpheme meanings with compositional distributional
semantics. Psychological
Review,
122
(3), 485 – 515.
Marelli, M., Traficante, D., & Burani, C. (2020). Reading
morphologically complex words: Experimental evidence and learning
models. In V. Pirelli, I. Plag, & U. Dressler (Eds.), Word
knowledge and word usage: A cross-disciplinary guide to the mental
lexicon (pp. 553 – 592). De Gruyter Mouton.
Maziyah Mohamed, M., Yap, M. J., Chee, Q. W., Jared, D. (2023). Malay
Lexicon Project 2: Morphology in Malay word recognition. Memory and
Cognition,
51
1, 647 – 665.
Moscoso del Prado Martín, F., Bertram, R., Häikiö, T., Schreuder, R., & Baayen, R. H. (2004). Morphological
family size in a morphologically rich language: The case of Finnish compared with Dutch and
Hebrew. Journal of Experimental Psychology: Learning, Memory, and
Cognition,
30
(6), 1271 – 1278.
Moscoso del Prado Martin, F., Deutsch, A., Frost, R., Schreuder, R., Jong, N. H. de, and Baayen, R. H. (2005). Changing
places: A cross-language perspective on frequency and family size in Dutch and Hebrew. Journal
of Memory and
Language,
53
1, 496–512.
Plaut, D. C., & Gonnerman, L. M. (2000). Are
non-semantic morphological effects incompatible with a distributed connectionist approach to lexical
processing? Language and Cognitive
Processes,
15
(4–5), 445 – 485.
R Core Team (2023). R: A language and
environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL [URL]
Rastle, K., & Davis, M. H. (2008). Morphological
decomposition based on the analysis of orthography. Language and Cognitive
Processes,
23
(7–8), 942 – 971.
Rastle, K., Davis, M. H., & New, B. (2004). The
broth in my brother’s brothel: Morpho-orthographic segmentation in visual word
recognition. Psychonomic Bulletin &
Review,
11
(6), 1090–1098.
Rueckl, J. G., & Seidenberg, M. S. (2009). Computational
modeling and the neural bases of reading and reading
disorders. In K. Pugh & P. McCardle (Eds.), How
children learn to read: Current issues and new directions in the integration of cognition, neurobiology and genetics of
reading and dyslexia research and
practice (pp. 101 – 133). Psychology Press.
Rueckl, J. G., & Raveh, M. (1999). The
influence of morphological regularities on the dynamics of a connectionist network. Brain and
Language,
68
(1–2), 110–117.
Sánchez-Gutiérrez, C. H., Mailhot, H., & Deacon, S. H. (2018). MorphoLex:
A derivational morphological database for 70,000 English words. Behavior Research
Methods,
50
(4), 1568 – 1580.
Schreuder, R., & Baayen, R. H. (1995). Modeling
morphological processing. In L. B. Feldman (Ed.), Morphological
aspects of language
processing (pp. 131 – 154). Lawrence Erlbaum Associates, Inc.
Schreuder, R., & Baayen, R. H. (1997). How
complex simplex words can be. Journal of Memory and
Language,
37
(1), 118 – 139.
Taft, M. (2006). A
localist-cum-distributed (LCD) framework for lexical
processing. In S. Andrews (Ed.), From
inkmarks to ideas: Current issues in lexical
processing (pp. 76 – 94). Hove, UK: Psychology Press.
Taft, M. (2023). Localist
Lexical Representation of Polymorphemic Words: The AUSTRAL
Model. In Linguistic Morphology in the Mind and
Brain (pp. 152 – 166). Routledge.
Taft, M., & Forster, K. I. (1975). Lexical
storage and retrieval of prefixed words. Journal of Verbal Learning & Verbal
Behavior,
14
(6), 638 – 647.
Taft, M., & Forster, K. I. (1976). Lexical
storage and retrieval of polymorphemic and polysyllabic words. Journal of Verbal Learning &
Verbal
Behavior,
15
(6), 607 – 620.
Tomaschek, F., Hendrix, P., & Baayen, R. H. (2018). Strategies
for managing collinearity in multivariate linguistic data. Journal of
Phonetics,
71
1, 249 – 267.
Vannest, J., Bertram, R., Järvikivi, J., & Niemi, J. (2002). Counterintuitive
cross-linguistic differences: More morphological computation in English than in
Finnish. Journal of Psycholinguistic
Research,
31
(2), 83 – 106.
van Rij, J., Wieling, M., Baayen, R., van Rijn, H. (2020). “itsadug:
Interpreting Time Series and Autocorrelated Data Using GAMMs.” R package version
2.4.
Wood, S. (2017). Generalized
Additive Models: An Introduction with R (2nd ed.). Chapman and Hall/CRC.
Wood, S.N., Li, Z., Shaddick, G. & Augustin N.H. (2017). Generalized
additive models for gigadata: Modeling the U.K. black smoke network daily data. Journal of the
American Statistical
Association,
112
(519),1199 – 1210.
Yap, M. J., Rickard Liow, S. J., Jalil, S., & Faizal, S. S. (2010). The
Malay Lexicon Project: A database of lexical statistics for 9,592 words. Behavior Research
Methods,
42
(4), 992 – 1003.
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