Analysis of Language Variation Using a Large-Scale Corpus of Spontaneous Speech
Analysis of Language Variation Using a Large-Scale Corpus of Spontaneous Speech
复制标题
使用大规模自发语音语料库分析语言变异
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
K. Maekawa
中科院分区：
文献类型：
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作者：
K. Maekawa
Large-scale corpus of spontaneous speech can be a powerful tool for the study of language variation. Moreover, given that the corpus is publicly available, corpus-based analysis could open up the possibility of follow-up analysis in this area of linguistic study. Generally speaking, follow-up study is highly desirable in sciences but so far it has been virtually impossible in the area of socio-linguistics due to the lack of shared corpus. In this paper, I will present some results of the analyses of the Corpus of争ontaneousJapanese (CSJ) that we developed in the years 1999-2003. CSJ is a large, richly annotated corpus of spontaneous speech of present-day Japanese (http://www2.kokken.go.jp/.~c宅j/public/index.l 660 hours of speech uttered by mor巴也an1400 speakers. This corpus was designed primarily for statistical machine learning of acoustic-and language-models for automatic spontaneous speech recognition, but it was also designed for the study oflanguage variation. So far, we have analyzed variations at different levels of language s仕uctures including, vowel devoicing, pitch-accent location in adjectives, coalescence of particle succession, moraic nasalization of particles, diffusion of the new potential verb forms, choice of phrase-final boundary pitch movements (BPM), and sむength of the prosodic boundary preceding accented particle. In addition to these, analysis of word-form variation was conducted. The last analysis was concerned not only with individual lexical items, but also with the lexicon as a whole.