واج‌گونه ها، نه واج ها در تشخیص کلمه گفتاری
ترجمه نشده

واج‌گونه ها، نه واج ها در تشخیص کلمه گفتاری

عنوان فارسی مقاله: واج‌گونه ها، نه واج ها در تشخیص کلمه گفتاری
عنوان انگلیسی مقاله: Allophones, not phonemes in spoken-word recognition
مجله/کنفرانس: مجله حافظه و زبان - Journal Of Memory And Language
رشته های تحصیلی مرتبط: زبانشناسی، آموزش زبان انگلیسی، مترجمی زبان انگلیسی
کلمات کلیدی فارسی: 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
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: Scopus - Master Journals List - JCR
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.jml.2017.09.005
دانشگاه: Department of Cognitive Science, Faculty of Media and Knowledge Sciences, University of Malta, Msida, Malta
صفحات مقاله انگلیسی: 16
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2018
ایمپکت فاکتور: 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
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
کد محصول: E13058
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست مطالب (انگلیسی)

Abstract

Introduction

Experiment 1

Experiment 2

Experiment 3

General discussion

Conclusion

References

بخشی از مقاله (انگلیسی)

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).