Phonological similarity among spoken words is traditionally indexed by neighbourhood density (i.e., the number of words differing by a single phoneme from the target). However, density is of limited utility for long words, which have few or no neighbours. In this study, we explored the effects of phonological similarity and word-frequency on auditory lexical decision performance, using multisyllabic words with no neighbours and a new similarity metric called phonological Levenshtein distance (PLD20), which reflects the mean number of substitution, insertion, or deletion operations required to transform a word into 20 of its closest Levenshtein neighbours. Inhibitory effects of PLD20 were observed, where words with closer neighbours were re...
International audienceThis article presents a new method for analyzing Automatic Speech Recognition...
International audienceThe present study investigated effects of phonological and orthographic neighb...
According to activation-based models of spoken-word recognition, words with many and highfrequency p...
Phonological similarity among spoken words is traditionally indexed by neighbourhood density (i.e., ...
With a new metric called phonological Levenshtein distance (PLD20), the present study explores the e...
With a new metric called phonological Levenshtein distance (PLD20), the present study explores the e...
With a new metric called phonological Levenshtein distance (PLD20), the present study explores the e...
The effects of phonological neighborhood density and word frequency in spoken word recognition were ...
In the present article, the effects of phonological neighborhood density and word frequency in spoke...
International audienceThe present study investigated phonological and orthographic neighborhood effe...
In the present article, the effects of phonological neighborhood density and word frequency in spoke...
International audienceThe present study investigated phonological and orthographic neighborhood effe...
In the present article, the effects of phonological neighborhood density and word frequency in spoke...
In the present article, the effects of phonological neighborhood density and word frequency in spoke...
International audienceThis article presents a new method for analyzing Automatic Speech Recognition...
International audienceThis article presents a new method for analyzing Automatic Speech Recognition...
International audienceThe present study investigated effects of phonological and orthographic neighb...
According to activation-based models of spoken-word recognition, words with many and highfrequency p...
Phonological similarity among spoken words is traditionally indexed by neighbourhood density (i.e., ...
With a new metric called phonological Levenshtein distance (PLD20), the present study explores the e...
With a new metric called phonological Levenshtein distance (PLD20), the present study explores the e...
With a new metric called phonological Levenshtein distance (PLD20), the present study explores the e...
The effects of phonological neighborhood density and word frequency in spoken word recognition were ...
In the present article, the effects of phonological neighborhood density and word frequency in spoke...
International audienceThe present study investigated phonological and orthographic neighborhood effe...
In the present article, the effects of phonological neighborhood density and word frequency in spoke...
International audienceThe present study investigated phonological and orthographic neighborhood effe...
In the present article, the effects of phonological neighborhood density and word frequency in spoke...
In the present article, the effects of phonological neighborhood density and word frequency in spoke...
International audienceThis article presents a new method for analyzing Automatic Speech Recognition...
International audienceThis article presents a new method for analyzing Automatic Speech Recognition...
International audienceThe present study investigated effects of phonological and orthographic neighb...
According to activation-based models of spoken-word recognition, words with many and highfrequency p...