基于语料库的台湾普通话会话单音节词音高轮廓研究

Xiaoyun Jin, Mirjam Ernestus, R. Harald Baayen
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摘要

在普通话中,单音节词的声调轮廓在单独说话或仔细说话时有四个词调:高调(T1)、升调(T2)、降调(T3)和降调(T4)。然而,在自发言语中,单音节词的实际声调实现与这些标准声调有很大差异,这是由于音节内共发音和音节间相邻声调共发音造成的。此外,Chuang 等人(2024 年)最近报告说,具有 T2-T4 声调模式的双音节普通话词语的声调轮廓是由其意义共同决定的。继他们的研究之后,我们基于语料库对单音节词的音调轮廓如何在即兴普通话会话中实现进行了研究,一方面关注语境预测因素的影响,另一方面关注词义如何共同决定音调轮廓。我们分析了自发台湾普通话语料库中 63 个不同词类的 3824 个标记的 F0 等高线,使用广义加法(混合)模型将给定的观察音高等高线分解为一组音高等高线成分。我们的研究表明,音调语境实质上改变了词语的标准音调。一旦音调语境的影响得到控制,T2 和 T3 就会变成低平音,与作为高音的 T1 和作为中高音的 T4 形成对比。在标准描述中,中性音调(T0)是在前一音调的基础上实现的,而在其他预测因子的作用下,中性音调(T0)与标准音调 T1、T2、T3 和 T4 一样,本身也是一种低调。我们还发现,词和词义共同决定了词的 F0 轮廓。使用随机森林对变量重要性的分析进一步证实了音调语境的重大影响和词义的影响。
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A corpus-based investigation of pitch contours of monosyllabic words in conversational Taiwan Mandarin
In Mandarin, the tonal contours of monosyllabic words produced in isolation or in careful speech are characterized by four lexical tones: a high-level tone (T1), a rising tone (T2), a dipping tone (T3) and a falling tone (T4). However, in spontaneous speech, the actual tonal realization of monosyllabic words can deviate significantly from these canonical tones due to intra-syllabic co-articulation and inter-syllabic co-articulation with adjacent tones. In addition, Chuang et al. (2024) recently reported that the tonal contours of disyllabic Mandarin words with T2-T4 tone pattern are co-determined by their meanings. Following up on their research, we present a corpus-based investigation of how the pitch contours of monosyllabic words are realized in spontaneous conversational Mandarin, focusing on the effects of contextual predictors on the one hand, and the way in words' meanings co-determine pitch contours on the other hand. We analyze the F0 contours of 3824 tokens of 63 different word types in a spontaneous Taiwan Mandarin corpus, using the generalized additive (mixed) model to decompose a given observed pitch contour into a set of component pitch contours. We show that the tonal context substantially modify a word's canonical tone. Once the effect of tonal context is controlled for, T2 and T3 emerge as low flat tones, contrasting with T1 as a high tone, and with T4 as a high-to-mid falling tone. The neutral tone (T0), which in standard descriptions, is realized based on the preceding tone, emerges as a low tone in its own right, modified by the other predictors in the same way as the standard tones T1, T2, T3, and T4. We also show that word, and even more so, word sense, co-determine words' F0 contours. Analyses of variable importance using random forests further supported the substantial effect of tonal context and an effect of word sense.
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