Nonlinearities in bilingual visual word recognition: An introduction to generalized additive modeling

Author(s):  
Koji Miwa ◽  
Harald Baayen

Abstract This paper introduces the generalized additive mixed model (GAMM) and the quantile generalized additive mixed model (QGAMM) through reanalyses of bilinguals’ lexical decision data from Dijkstra et al. (2010) and Miwa et al. (2014). We illustrate how regression splines can be used to test for nonlinear effects of cross-language similarity in form as well as for controlling experimental trial effects. We further illustrate the tensor product smooth for a nonlinear interaction between cross-language semantic similarity and word frequency. Finally, we show how the QGAMM helps clarify whether the effect of a particular predictor is constant across distributions of RTs.

2020 ◽  
Author(s):  
Pauline Palma ◽  
Marie-France Marin ◽  
k onishi ◽  
Debra Titone

Although several studies have focused on novel word learning and consolidation in native (presumably monolingual) speakers, less is know about how bilinguals add novel words to their mental lexicon. Here, we trained 33 English-French bilinguals on novel word-forms that were neighbors to “hermit” English words (i.e., words with no existing neighbors). Importantly, these English words varied in terms of orthographic overlap with their French translation equivalent (i.e., cognates vs. noncognates). We measured explicit recognition of the novel neighbors and the interaction between novel neighbors and English words through a lexical decision task, both before and after a sleep interval. In the lexical decision task, we found evidence of immediate facilitation for English words with novel neighbors, and evidence of competition after a sleep interval for cognate words only. These results suggest that higher quality of existing lexical representations predicts an earlier onset for novel word lexicalization.


2011 ◽  
Vol 14 (4) ◽  
pp. 473-488 ◽  
Author(s):  
SAY YOUNG KIM ◽  
MIN WANG ◽  
IN YEONG KO

Three experiments using a priming lexical decision paradigm were conducted to examine whether cross-language activation occurs via decomposition during the processing of derived words in Korean–English bilingual readers. In Experiment 1, when participants were given a real derived word and an interpretable derived pseudoword (i.e., illegal combination of a stem and a suffix) in Korean as a prime, response times for the corresponding English-translated stem were significantly faster than when they had received an unrelated word. In Experiment 2, non-morphological ending pseudowords (i.e., illegal combination of a stem and an orthographic ending) were included, and this did not show a priming effect. In Experiment 3, non-interpretable derived pseudowords also yielded a significant priming effect just as the interpretable ones. These results together suggest that cross-language activation of morphologically complex words occurs independently of lexicality and interpretability.


2016 ◽  
Vol 26 (10) ◽  
pp. 698-703.e2 ◽  
Author(s):  
Ming Ding ◽  
Yang Hu ◽  
Joel Schwartz ◽  
Woon-Puay Koh ◽  
Jian-Min Yuan ◽  
...  

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