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Differential effects of ambiguity type for word recognition
Annals of General Psychiatry volume 5, Article number: S73 (2006)
It is well known that semantic characteristics of words have differential effects on word recognition. Recently, attention has been drawn to the effects of the type of ambiguity, i.e. whether a word has different meanings that correspond to different entries in the dictionary and have different derivations (homonymy), or related senses that are all enlisted under the same entry in the dictionary (polysemy). The aim of this study was to investigate the effects of ambiguity type on visual single-word recognition in greek.
Materials and methods
Twenty-five subjects participated in a single-word visual lexical decision task. Stimulus items were 37 homonyms, 37 polysemous words and 36 unambiguous words, along with 110 pseudowords. The three groups of words were matched for printed frequency, length and lexical neighbourhood size.
Response time values were calculated separately across items and participants. Both analyses revealed a significant effect of word group; subjects responded faster to homonymous words than to unambiguous words, with reaction times for homonyms falling in between the two. For the subset of ambiguous words, there was a significant main effect for number of meanings and number of senses. However, these two effects were in the opposite direction: multiple senses elicited faster reaction times, whereas multiple meanings seemed to slow down responses.
Our results suggest an advantage of multiple related senses for visual word recognition, alongside a relative disadvantage for words with multiple meanings. This finding has interesting implications for models of lexical representation and access mechanisms.
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Cite this article
Andreou, C., Tsapkini, K., Bozikas, V. et al. Differential effects of ambiguity type for word recognition. Ann Gen Psychiatry 5, S73 (2006). https://doi.org/10.1186/1744-859X-5-S1-S73
- Word Recognition
- Lexical Decision
- Visual Word
- Lexical Decision Task
- Neighbourhood Size