مقاله انگلیسی رایگان در مورد واج‌گونه ها، نه واج ها در تشخیص کلمه گفتاری – الزویر 2018

 

مشخصات مقاله
ترجمه عنوان مقاله واج‌گونه ها، نه واج ها در تشخیص کلمه گفتاری
عنوان انگلیسی مقاله Allophones, not phonemes in spoken-word recognition
انتشار مقاله سال 2018
تعداد صفحات مقاله انگلیسی 16 صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research Article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) Scopus – Master Journals List – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
4.267 در سال 2018
شاخص H_index 129 در سال 2019
شاخص SJR 3.007 در سال 2018
شناسه ISSN 0749-596X
شاخص Quartile (چارک) Q1 در سال 2018
مدل مفهومی ندارد
پرسشنامه ندارد
متغیر ندارد
رفرنس دارد
رشته های مرتبط زبان شناسی، آموزش زبان انگلیسی، مترجمی زبان انگلیسی
نوع ارائه مقاله
ژورنال
مجله مجله حافظه و زبان – Journal Of Memory And Language
دانشگاه Department of Cognitive Science, Faculty of Media and Knowledge Sciences, University of Malta, Msida, Malta
کلمات کلیدی تشخیص کلمه گفتاری، واج ها، واج‌گونه ها، بازنمایی Pre-lexical، سازگاري انتخابي
کلمات کلیدی انگلیسی Spoken-word recognition، Phonemes، Allophones، Pre-lexical representations، Selective adaptation
شناسه دیجیتال – doi
https://doi.org/10.1016/j.jml.2017.09.005
کد محصول E13058
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract

Introduction

Experiment 1

Experiment 2

Experiment 3

General discussion

Conclusion

References

 

بخشی از متن مقاله:

Abstract

What are the phonological representations that listeners use to map information about the segmental content of speech onto the mental lexicon during spoken-word recognition? Recent evidence from perceptual-learning paradigms seems to support (context-dependent) allophones as the basic representational units in spoken-word recognition. But recent evidence from a selective-adaptation paradigm seems to suggest that context-independent phonemes also play a role. We present three experiments using selective adaptation that constitute strong tests of these representational hypotheses. In Experiment 1, we tested generalization of selective adaptation using different allophones of Dutch /r/ and /l/ – a case where generalization has not been found with perceptual learning. In Experiments 2 and 3, we tested generalization of selective adaptation using German back fricatives in which allophonic and phonemic identity were varied orthogonally. In all three experiments, selective adaptation was observed only if adaptors and test stimuli shared allophones. Phonemic identity, in contrast, was neither necessary nor sufficient for generalization of selective adaptation to occur. These findings and other recent data using the perceptual-learning paradigm suggest that pre-lexical processing during spoken-word recognition is based on allophones, and not on context-independent phonemes.

Introduction

One of the fundamental questions in cognitive science regards the nature of the mental representations that underlie cognitive functioning. In spoken-word recognition, the question is which code we use to map the highly variable speech signal onto knowledge stored in the mental lexicon – knowledge about the phonological form of words. What, in short, are the pre-lexical units of speech perception? Theories answer this question in many different ways. Some theories claim that there are no phonologically abstract prelexical representations (Goldinger, 1998) and others that there are, but disagree about the grain-size of the units, which could be abstract phonological features (Lahiri & Reetz, 2010), contextdependent allophones (Luce, Goldinger, Auer, & Vitevitch, 2000), context-independent phonemes (McClelland & Elman, 1986; Norris, 1994), or syllables (Mehler, Dommergues, Frauenfelder, & Segui, 1981), or could be a combination of units of different size (Wickelgren, 1969). One recurring issue in this long-running debate has been that evidence in favour of one or the other type of unit often turned out to be paradigm-specific. Evidence for many different units can therefore be found (for a review, see Goldinger & Azuma, 2003).

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