The role of the syllable in spoken word recognition : access or segmentation ?

The optimal Neural Net Work is that of non-ordered data base, it consists of one layer, five nodes and 150 steps, because it gives a satisfying error rate and works better than that

This inspires a new model of spoken word recognition that combines time-specific phoneme representations similar to those in TRACE with higher-level representations based on

Subjects were given target phoneme sequences (pa and pal) to detect in stimulus words of both syllabic structures, if the stimulus words are segmented according to

Its focus is on two major problems in the study of lexical processing-determining the phases involved in recognising a spoken word and identifying the nature of different types

Hence, it becomes an important research objective within this perspective to identify which words are activated during the recognition process — even if only temporarily or

The guide contains the summary sheets of 18 paradigms or tasks (we will use these terms interchangeably, as do most researchers): auditory lexical decision, cross-modal

The presence or absence of foils and the use of different blocking conditions (by vowel and by pivotal consonant) did not allow us to replicate the syllable effect obtained

The models we examine are derived from the collocational model of Johnson and Goldwater (2009) by varying three parameters, resulting in 6 models: two baselines that do not