Abstract:There is no consensus on whether derived words are decomposed or processed holistically, and on which factors this depends. Using overt visual priming with lexical decision involving Dutch derived particle verbs, we manipulated three factors: semantic transparency of the derived words, motorrelatedness of the simple verb constituent, and type of morphological priming. Experiments 1 and 2 (using simple verbs primed by their derivations or vice versa) showed overall facilitatory morphological priming effects, in… Show more
“…Experiments addressing speech production in Dutch (Roelofs, 1997a,b;Roelofs et al, 2002) likewise observed, using the implicit priming task, that priming effects were equivalent for transparent and opaque prime-target pairs. Morphological priming without effects of semantic transparency have recently been replicated in Dutch under overt prime presentations (Creemers et al, 2019;De Grauwe et al, 2019). Unprimed and primed visual lexical decision experiments on Dutch low-frequency suffixed words with high-frequency base words revealed that the semantics of opaque complex words were equally quickly available as the semantics of transparent complex words (Schreuder et al, 2003), contradicting the original prediction of this study that transparent words would show a processing advantage compared to their opaque counterparts.…”
Both localist and connectionist models, based on experimental results obtained for English and French, assume that the degree of semantic compositionality of a morphologically complex word is reflected in how it is processed. Since priming experiments using English and French morphologically related prime-target pairs reveal stronger priming when complex words are semantically transparent (e.g., refill-fill) compared to semantically more opaque pairs (e.g., restrain-strain), localist models set up connections between complex words and their stems only for semantically transparent pairs. Connectionist models have argued that the effect of transparency should arise as an epiphenomenon in PDP networks. However, for German, a series of studies has revealed equivalent priming for both transparent and opaque prime-target pairs, which suggests mediation of lexical access by the stem, independent of degrees of semantic compositionality. This study reports a priming experiment that replicates equivalent priming for transparent and opaque pairs. We show that these behavioral results can be straightforwardly modeled by a computational implementation of Word and Paradigm Morphology (WPM), Naive Discriminative Learning (NDL). Just as WPM, NDL eschews the theoretical construct of the morpheme. NDL succeeds in modeling the German priming data by inspecting the extent to which a discrimination network pre-activates the target lexome from the orthographic properties of the prime. Measures derived from an NDL network, complemented with a semantic similarity measure derived from distributional semantics, predict lexical decision latencies with somewhat improved precision compared to classical measures, such as word frequency, prime type, and human association ratings. We discuss both the methodological implications of our results, as well as their implications for models of the mental lexicon.
“…Experiments addressing speech production in Dutch (Roelofs, 1997a,b;Roelofs et al, 2002) likewise observed, using the implicit priming task, that priming effects were equivalent for transparent and opaque prime-target pairs. Morphological priming without effects of semantic transparency have recently been replicated in Dutch under overt prime presentations (Creemers et al, 2019;De Grauwe et al, 2019). Unprimed and primed visual lexical decision experiments on Dutch low-frequency suffixed words with high-frequency base words revealed that the semantics of opaque complex words were equally quickly available as the semantics of transparent complex words (Schreuder et al, 2003), contradicting the original prediction of this study that transparent words would show a processing advantage compared to their opaque counterparts.…”
Both localist and connectionist models, based on experimental results obtained for English and French, assume that the degree of semantic compositionality of a morphologically complex word is reflected in how it is processed. Since priming experiments using English and French morphologically related prime-target pairs reveal stronger priming when complex words are semantically transparent (e.g., refill-fill) compared to semantically more opaque pairs (e.g., restrain-strain), localist models set up connections between complex words and their stems only for semantically transparent pairs. Connectionist models have argued that the effect of transparency should arise as an epiphenomenon in PDP networks. However, for German, a series of studies has revealed equivalent priming for both transparent and opaque prime-target pairs, which suggests mediation of lexical access by the stem, independent of degrees of semantic compositionality. This study reports a priming experiment that replicates equivalent priming for transparent and opaque pairs. We show that these behavioral results can be straightforwardly modeled by a computational implementation of Word and Paradigm Morphology (WPM), Naive Discriminative Learning (NDL). Just as WPM, NDL eschews the theoretical construct of the morpheme. NDL succeeds in modeling the German priming data by inspecting the extent to which a discrimination network pre-activates the target lexome from the orthographic properties of the prime. Measures derived from an NDL network, complemented with a semantic similarity measure derived from distributional semantics, predict lexical decision latencies with somewhat improved precision compared to classical measures, such as word frequency, prime type, and human association ratings. We discuss both the methodological implications of our results, as well as their implications for models of the mental lexicon.
“…This relates further to a large body of semantic priming literature that shows that priming effects increase in magnitude as the relatedness proportion increases (for an overview see Hutchison, 2007). Second, we included semantic associates that are nouns, as was done in De Grauwe et al (2019), such that critical prime-target pairs consisted not only of verb-verb pairs but also of verbnoun pairs. Finally, as noted above, we presented primes and targets auditorily, which has been shown to result in larger effect sizes for semantic and associative priming compared to visually presented stimuli (Gomes et al, 1997;Hutchison, 2003).…”
Section: The Present Studymentioning
confidence: 94%
“…umbringen "kill" → MORD "murder") also did not lead to significant priming effects in the shorter SOA experiment, while this condition did show significant priming in experiments with longer SOAs. Second, the designs in De Grauwe et al (2019) and Zwitserlood et al (2005) used between-target designs. The different priming patterns could thus, in principle, be due to differences between the individual targets in the different conditions.…”
Section: Semantic Stem Priming With Opaque Wordsmentioning
confidence: 99%
“…In this vein, an active literature that employs morphological constituent priming experiments has consistently shown that Dutch and German prefixed verbs prime their stem in overt visual, cross-modal, and auditory paradigms, regardless of semantic transparency (Creemers et al, 2020;De Grauwe et al, 2019;Smolka et al, 2009Smolka et al, , 2014Smolka et al, , 2015Smolka et al, , 2019. In these studies, significant stem priming effects are found for semantically transparent (e.g.…”
Section: Introductionmentioning
confidence: 98%
“…Prefixed verbs in Dutch and German have proven a fertile testing ground for distinguishing among the different types of relatedness (Creemers et al, 2020;De Grauwe et al, 2019;Smolka et al, 2009Smolka et al, , 2014Smolka et al, , 2015Smolka et al, , 2019. The verbal systems of these languages contain a large number of verb stems that appear with a small set of prefixed elements.…”
Recent constituent priming experiments show that Dutch and German prefixed verbs prime their stem, regardless of semantic transparency (e.g. Smolka et al. [(2014). 'Verstehen' ('understand') primes 'stehen' ('stand'): Morphological structure overrides semantic compositionality in the lexical representation of German complex verbs.
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