Word Frequency Effect and Word Similarity Effect in Korean Lexical Decision Task and Their Computational Model

2006 ◽  
pp. 331-340
Author(s):  
YouAn Kwon ◽  
KiNam Park ◽  
HeuiSeok Lim ◽  
KiChun Nam ◽  
Soonyoung Jung
Keyword(s):  
Lexical Decision ◽  
Computational Model ◽  
Lexical Decision Task ◽  
Word Frequency ◽  
Frequency Effect ◽  
Decision Task ◽  
Word Frequency Effect ◽  
Word Similarity ◽  
Similarity Effect

scholarly journals Word Frequency Effect in Lexical Decision Task: Evidence from Khalkha Mongolian

2019 ◽  
pp. 1954-1964
Author(s):  
Mikhail S. Vlasov ◽  
Tumee Odonchimeg ◽  
Vasha Sainbaiar ◽  
Tat‘iana I. Gromoglasova
Keyword(s):  
Lexical Decision ◽  
Lexical Decision Task ◽  
Word Frequency ◽  
Frequency Effect ◽  
Decision Task ◽  
Real Word ◽  
Word Frequency Effect ◽  
Lexical Memory ◽  
Frequency Effects ◽  
Experimental Findings

In experimental psycholinguistics, one clue into the architecture of lexical memory comes from the presence of robust frequency effects in lexical decision task (LDT), in which subjects judge whether a written stimulus is a real word or a nonword, and processing complexity is measured by reaction time (RT). For example, in LDT the visual word recognition process is facilitated (or inhibited) by word frequency as measured from the representative corpus. Our study verifies the word frequency effect in standard (“yes/no task”) LDT performed by Khalkha Mongolian subjects. The results showed strong weight of word frequency as RTs predictor (R2 = .631, F (1, 28) = 50.57, p < .000, β = .802, t = 7.111, p < .000). Our experimental results also correspond to experimental findings on word frequency effects for Japanese Katakana (syllabic) and Kanji (logographic) words in standard LDT. Such lexical decision “script moderation” could be the actual clue for further LDT experiments (e. g., relatively “deep” Mongolian script vs. “shallow” Cyrillic Mongolian)

scholarly journals Effects of Print Exposure on an Online Lexical Decision Task: A Direct Replication Using a Web-Based Experimental Procedure

2021 ◽  
Vol 12 ◽  
Author(s):  
Dahyeon Kim ◽  
Matthew W. Lowder ◽  
Wonil Choi
Keyword(s):  
Lexical Decision ◽  
Lexical Decision Task ◽  
Word Processing ◽  
Frequency Effect ◽  
Decision Task ◽  
Print Exposure ◽  
Word Frequency Effect ◽  
Web Based ◽  
Face To Face ◽  
Global Pandemic

Due to the global pandemic, behavioral sciences including psychology that have traditionally relied on face-to-face data collection methods are facing a crisis. Given these circumstances, the present study was designed as a web-based replication of the findings reported in Lee et al. (2019) on the relationship between print exposure measured by the Korean Author Recognition Test (KART) and online measures of word processing using the lexical decision task and offline measures of language ability. We used the PsychoPy3 and Pavlovia platform in which participants were presented with a series of tasks in an entirely web-based environment. We found that scores on the KART were correlated with scores on a measure of language skills as well as self-reported reading habits. In addition, KART scores modulated the word frequency effect in the lexical decision task such that participants with higher KART scores tended to have smaller frequency effects. These results were highly consistent with previous lab-based studies including Lee et al. indicating that web-based experimental procedures are a viable alternative to lab-based face-to-face experiments.

The Interaction of Word Frequency and Stimulus Quality in the Lexical Decision Task: Now you See It, Now you Don't

1988 ◽  
Vol 40 (4) ◽  
pp. 757-770 ◽  
Author(s):  
J. M. Wilding
Keyword(s):  
Word Recognition ◽  
Lexical Decision ◽  
Lexical Decision Task ◽  
Word Frequency ◽  
Decision Task ◽  
Stimulus Quality ◽  
Joint Effects ◽  
Two Factors

Two experiments are reported that examined the joint effects of word frequency and stimulus quality in the context of a lexical decision task. In the first experiment the interval between response to a stimulus and onset of the next stimulus was 0.8 sec, and the effect of the two factors was additive. In the second this interval was 3.3 sec, and the effect of reducing stimulus quality was greater for infrequent words than for frequent words. This is similar to the result of Norris (1984). The inability of current models of word recognition to explain this finding is discussed.

Demythologizing the word frequency effect

2010 ◽  
Vol 5 (3) ◽  
pp. 436-461 ◽  
Author(s):  
R. H. Baayen
Keyword(s):  
Lexical Decision ◽  
Word Frequency ◽  
Computational Models ◽  
Response Times ◽  
Frequency Effect ◽  
Word Frequency Effect ◽  
Predictors Of Response ◽  
Dual Route ◽  
Dual Route Model

This study starts from the hypothesis, first advanced by McDonald and Shillcock (2001), that the word frequency effect for a large part reflects local syntactic co-occurrence. It is shown that indeed the word frequency effect in the sense of pure repeated exposure accounts for only a small proportion of the variance in lexical decision, and that local syntactic and morphological co-occurrence probabilities are what makes word frequency a powerful predictor for lexical decision latencies. A comparison of two computational models, the cascaded dual route model (Coltheart, Rastle, Perry, Langdon, & Ziegler, 2001) and the Naive Discriminative Reader (Baayen, Milin, Filipovic Durdjevic, Hendrix, & Marelli, 2010), indicates that only the latter model properly captures the quantitative weight of the latent dimensions of lexical variation as predictors of response times. Computational models that account for frequency of occurrence by some mechanism equivalent to a counter in the head therefore run the risk of overestimating the role of frequency as repetition, of overestimating the importance of words’ form properties, and of underestimating the importance of contextual learning during past experience in proficient reading.

scholarly journals The frequency effect for pseudowords in the lexical decision task

2005 ◽  
Vol 67 (2) ◽  
pp. 301-314 ◽  
Author(s):  
Manuel Perea ◽  
Eva Rosa ◽  
Consolación Gómez
Keyword(s):  
Lexical Decision ◽  
Lexical Decision Task ◽  
Frequency Effect ◽  
Decision Task
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