Morphological influences on the recognition of monosyllabic monomorphemic words
By R. Harald Baayen, Laurie Beth Feldman, Rob Schreuder. 2006
309 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Cognitive Neuroscience, Developmental and Educational Psychology
View Paper: https://www.semanticscholar.org/paper/16158d6adc6171f744855764b7ba15773951129d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Marc Brysbaert
- R. Harald Baayen
- David A. Balota
- M. Yap
- Boris New
- Johannes C. Ziegler
- Petar Milin
- Marco Zorzi
In Cognitive Neuroscience
- Marc Brysbaert
- R. Harald Baayen
- Harald Baayen
- Petar Milin
- Lee H. Wurm
- S. A. Fisicaro
- Boris New
- Marco Zorzi
In Developmental and Educational Psychology
- Marc Brysbaert
- R. Harald Baayen
- Harald Baayen
- David A. Balota
- M. Yap
- Petar Milin
- Boris New
- Lee H. Wurm
Citations in the corpus
- Derivational morphology and base morpheme frequency (2010, background): “According to Baayen et al. (2006) the quadratic effect of family size is due to a facilitatory effect for words with in the low range of family sizes and an inhibitory effect for words with large family sizes.”
- The use of film subtitles to estimate word frequencies (2007, methodology): “Because the CRFP does not have lemma frequencies, we limited our analyses to word surface frequencies (as has been done in English as well; see Baayen et al., 2006; Balota, Cortese, Sergent-Marshall, Spieler, & Yap, 2004).3 The first experiment examined the effects of word frequency and age of…”
- The representation of abstract words: why emotion matters. (2011, methodology): “After fitting the initial model, we take out outliers (following the procedure in Baayen et al., 2006).”
- Redundancy and reduction: Speakers manage syntactic information density (2010, background): “Increased processing load associated with the production of less frequent word forms (Jescheniak & Levelt, 1994; Baayen et al., 2006) may spill over from the matrix verb to the CC onset.”
- Biases in Predicting the Human Language Model (2014, background): “), (3) log morphological family size (number of inflectional and derivational morphological family members), (4) number of synonyms, and (5) the first principal component of a host of orthographic and phonological features capturing neighborhood effects (type and token counts of orthographic and pho”
- Lexical dynamics for low-frequency complex words: A regression study across tasks and modalities (2007, unknown): “This allows us to compare the consequences of the different temporal dynamics of reading and listening, as well as the consequences of differences in the depth of semantic processing: The lexical decision task requires substantially deeper semantic processing than does word naming (Baayen et al., 20”
- Effects of primary and secondary morphological family size in monolingual and bilingual word processing (2014, methodology): “Since only 6 of the 25 identical cognates in Experiment 1 and 2 were monosyllabic, we selected as materials the monosyllabic, monomorphemic words from the English Lexicon Project (henceforth ELP; Balota et al., 1999, 2007), that were previously studied in detail in Baayen et al. (2006).”
- What residualizing predictors in regression analyses does (and what it does not do) (2014, methodology): “); eliminate one or more of the variables; make a composite variable (for example, by making ratios of different frequency measures, as was done in Baayen et al., 2006 and Wurm, 2007); or subject the variables to a principle components analysis (as was done, for example, in Baayen et al., 2006).”
- Nested incremental modeling in the development of computational theories: the CDP+ model of reading aloud. (2007, methodology): “The typical result from English is that nonwords produce a robust length effect, whereas real words produce a much smaller length effect (Weekes, 1997; cf. Balota et al., 2004; Baayen et al., 2006).”