{"title":"基于语料库的语音语音分析方法","authors":"Haruo Kubozono, K. Maekawa, T. Vance","doi":"10.1515/lp-2015-1000","DOIUrl":null,"url":null,"abstract":"This special issue is a collection of selected papers from the 14th Conference on Laboratory Phonology, which was held at NINJAL (National Institute for Japanese Language and Linguistics) in Tachikawa, Tokyo, on July 25–27, 2014. The conference was sponsored by NINJAL with cooperation from four academic societies related to language and speech in Japan: the Acoustical Society of Japan, the Linguistic Society of Japan, the Phonetic Society of Japan, and the Phonological Society of Japan. The general theme of the conference was “Laboratory phonology beyond the laboratory: Quantitative analyses of speech produced outside the phonetics laboratory”. The papers selected for this special issue were drawn from the conference thematic session on corpus-based approaches, and present corpus studies of spontaneous speech, endangered languages, and L1 phonology/prosody. Seven articles were selected and reviewed for inclusion in the present volume. Mazuka et al. and Zellou and Scarborough analyzed corpora of infant-directed speech. Mazuka et al.’s analysis is based on a corpus of Japanese mothers’ spontaneous speech directed to their infant children and on a comparison with adult-directed speech and read speech. They use the corpus to demonstrate that a phonologically-informed analysis of infant-directed speech can reveal specific ways in which segmental and supra-segmental aspects of phonology are modulated dynamically to accommodate the specific communicative needs of speakers and hearers. 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引用次数: 0
摘要
本特刊是2014年7月25日至27日在东京立川国立日本语言与语言学研究所举行的第14届实验室音韵学会议的论文选集。本次会议由日本声学学会、日本语言学会、日本音标学会和日本音韵学会这四个与语言和语音相关的学会合作主办。会议的总主题是“实验室之外的实验室音韵学:语音学实验室之外产生的语音的定量分析”。本特刊所选的论文来自于基于语料库方法的会议专题会议,并介绍了自发语音、濒危语言和第一语言音韵的语料库研究。选出并审查了七篇文章,列入本卷。Mazuka et al.和Zellou and Scarborough分析了婴儿指向语的语料库。Mazuka等人的分析是基于日本母亲对其婴儿的自发言语语料库,并与成人指导言语和阅读言语进行比较。他们使用语料库来证明,对婴儿指向性言语的音韵学分析可以揭示音韵学的片段和超片段方面被动态调节以适应说话者和听者特定交际需求的具体方式。另一方面,Zellou和Scarborough比较了两个英语语料库,一个是婴儿指向的语料库,另一个是成人指向的语料库,并探讨了习得年龄和邻里密度在多大程度上预测了两组数据中的语音变化。Den和Hasegawa-Johnson等人的论文涉及统计建模问题。使用大规模的自发日语语料库,即
Corpus-based approaches to the phonological analysis of speech
This special issue is a collection of selected papers from the 14th Conference on Laboratory Phonology, which was held at NINJAL (National Institute for Japanese Language and Linguistics) in Tachikawa, Tokyo, on July 25–27, 2014. The conference was sponsored by NINJAL with cooperation from four academic societies related to language and speech in Japan: the Acoustical Society of Japan, the Linguistic Society of Japan, the Phonetic Society of Japan, and the Phonological Society of Japan. The general theme of the conference was “Laboratory phonology beyond the laboratory: Quantitative analyses of speech produced outside the phonetics laboratory”. The papers selected for this special issue were drawn from the conference thematic session on corpus-based approaches, and present corpus studies of spontaneous speech, endangered languages, and L1 phonology/prosody. Seven articles were selected and reviewed for inclusion in the present volume. Mazuka et al. and Zellou and Scarborough analyzed corpora of infant-directed speech. Mazuka et al.’s analysis is based on a corpus of Japanese mothers’ spontaneous speech directed to their infant children and on a comparison with adult-directed speech and read speech. They use the corpus to demonstrate that a phonologically-informed analysis of infant-directed speech can reveal specific ways in which segmental and supra-segmental aspects of phonology are modulated dynamically to accommodate the specific communicative needs of speakers and hearers. Zellou and Scarborough, on the other hand, compare two corpora of English utterances, infant-directed in one and adult-directed in the other, and explore the extent to which age-of-acquisition and neighborhood density predict phonetic variability in the two sets of data. The papers by Den and Hasegawa-Johnson et al. deal with issues of statistical modeling. Using a large-scale corpus of spontaneous Japanese, i.e., the