In the present study, we leveraged computational methods to explore the extent to which, relative to direct access to semantics from orthographic cues, the additional appreciation of morphological cues is advantageous while inducing the meaning of affixed pseudo-words. We re-analyzed data from a study on a lexical decision task for affixed pseudo-words. We considered a parsimonious model only including semantic variables (namely, semantic neighborhood density, entropy, magnitude, stem proximity) derived through a word-form-to-meaning approach (ngram-based). We then explored the extent to which the addition of equivalent semantic variables derived by combining semantic information from morphemes (combination-based) improved the fit of the statistical model explaining human data. Results suggest that semantic information can be extracted from arbitrary clusters of letters, yet a computational model of semantic access also including a combination-based strategy based on explicit morphological information better captures the cognitive mechanisms underlying human performance. This is particularly evident when participants recognize affixed pseudo-words as meaningful stimuli.

Bonandrini, R., Amenta, S., Sulpizio, S., Tettamanti, M., Mazzucchelli, A., Marelli, M. (2023). Form to meaning mapping and the impact of explicit morpheme combination in novel word processing. COGNITIVE PSYCHOLOGY, 145(September 2023) [10.1016/j.cogpsych.2023.101594].

Form to meaning mapping and the impact of explicit morpheme combination in novel word processing

Bonandrini, Rolando
;
Amenta, Simona;Sulpizio, Simone;Tettamanti, Marco;Marelli, Marco
2023

Abstract

In the present study, we leveraged computational methods to explore the extent to which, relative to direct access to semantics from orthographic cues, the additional appreciation of morphological cues is advantageous while inducing the meaning of affixed pseudo-words. We re-analyzed data from a study on a lexical decision task for affixed pseudo-words. We considered a parsimonious model only including semantic variables (namely, semantic neighborhood density, entropy, magnitude, stem proximity) derived through a word-form-to-meaning approach (ngram-based). We then explored the extent to which the addition of equivalent semantic variables derived by combining semantic information from morphemes (combination-based) improved the fit of the statistical model explaining human data. Results suggest that semantic information can be extracted from arbitrary clusters of letters, yet a computational model of semantic access also including a combination-based strategy based on explicit morphological information better captures the cognitive mechanisms underlying human performance. This is particularly evident when participants recognize affixed pseudo-words as meaningful stimuli.
Articolo in rivista - Articolo scientifico
Distributional semantics; Form-to-meaning mapping; Morpheme combination; Morphological processing;
English
18-ago-2023
2023
145
September 2023
101594
open
Bonandrini, R., Amenta, S., Sulpizio, S., Tettamanti, M., Mazzucchelli, A., Marelli, M. (2023). Form to meaning mapping and the impact of explicit morpheme combination in novel word processing. COGNITIVE PSYCHOLOGY, 145(September 2023) [10.1016/j.cogpsych.2023.101594].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/435421
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