About this Research Topic
Spoken-word recognition is a fundamental cognitive process involved in the mechanisms of lexical representation access. Lexical representations are accessed by the activation of “possible candidates” among known words, elicited by phonological patterns in the speech signal.
Spoken-word recognition mechanisms have been extensively studied by Psycholinguists and have generated several interesting lines of research, addressing numerous important questions such as:
- What do we mean by recognizing a spoken word?
- How and why do our spoken-word recognition processes seem so effortless?
- Which are the internal mental processes and lexical representations involved in spoken-word recognition?
- What about spoken word processing in context?
Over the last four decades, massive data and a great number of studies on this topic have laid a solid foundation in our understanding of spoken-word recognition processes. In addition, a few classical models and newly-developed computational models have been constructed, such as the Cohort model, TRACE, Shortlist, NAM, etc.
These models have largely succeeded in accounting for the human behavioural data on spoken-word recognition processes or general lexical processing of monolinguals.
However, further research needs to be conducted on bilingual or multilingual spoken word recognition (cf. the BLINCS model). Considering the increasing number of bilingual and multilingual speakers in communities worldwide, it is fundamental to unravel the dynamics of the spoken word recognition processes in these populations.
This Research Topic aims to collect a variety of research manuscripts focusing on the recent development of bilingual and multilingual spoken-word recognition studies.
We welcome submissions on the empirical and theoretical discussion of bilingual and multilingual spoken-word recognition processes. Experimental reports, empirical studies, review articles, computational modelling implementations and neuropsychological studies are appropriate for this Research Topic.
Spoken-word recognition mechanisms have been extensively studied by Psycholinguists and have generated several interesting lines of research, addressing numerous important questions such as:
- What do we mean by recognizing a spoken word?
- How and why do our spoken-word recognition processes seem so effortless?
- Which are the internal mental processes and lexical representations involved in spoken-word recognition?
- What about spoken word processing in context?
Over the last four decades, massive data and a great number of studies on this topic have laid a solid foundation in our understanding of spoken-word recognition processes. In addition, a few classical models and newly-developed computational models have been constructed, such as the Cohort model, TRACE, Shortlist, NAM, etc.
These models have largely succeeded in accounting for the human behavioural data on spoken-word recognition processes or general lexical processing of monolinguals.
However, further research needs to be conducted on bilingual or multilingual spoken word recognition (cf. the BLINCS model). Considering the increasing number of bilingual and multilingual speakers in communities worldwide, it is fundamental to unravel the dynamics of the spoken word recognition processes in these populations.
This Research Topic aims to collect a variety of research manuscripts focusing on the recent development of bilingual and multilingual spoken-word recognition studies.
We welcome submissions on the empirical and theoretical discussion of bilingual and multilingual spoken-word recognition processes. Experimental reports, empirical studies, review articles, computational modelling implementations and neuropsychological studies are appropriate for this Research Topic.
Keywords: Bilingual spoken-word recognition, multilingual lexical processing, bilingual word recognition computational modelling, spoken-word processes influencing factors, top-down and bottom-up information
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