This paper presents an analysis of the intonational system of Greek Thrace Romani. The analysis serves to highlight the difficulties that spontaneous fieldwork data pose for traditional methods of intonational research largely developed for use with controlled speech elicited in the laboratory or under laboratory-like conditions from educated speakers of standardized languages. It leads to proposing a set of principles and procedures which can help deal with the variability inherent in spontaneous data; these principles and procedures apply particularly to data from less homogeneous speech communities but are relevant for the intonation analysis of any linguistic system. This approach relies on the understanding that autosegmental-metrical representations of intonation are phonological representations, not means of faithfully depicting pitch contours per se. It follows that representations should capture what is contrastive in the intonational system under analysis. In turn, this entails that new categories are posited, taking the meaning of tonal events into account and after due consideration of all legitimate sources of phonetic variation. It is argued that following this procedure allows for more robust analyses and is particularly advantageous when data are highly variable. This view is discussed in light of the analysis of Greek Thrace Romani, and in combination with recent proposals for greater uniformity and phonetic transparency in intonational representations, traits which are said to lead to greater insights in typological and cross-varietal research. It is shown that these goals are not better served by a level of broad phonetic transcription which encodes an arbitrary selection of phonetic variants.

中文翻译：

---

语调研究中的分析决策和表征的作用：来自罗姆语的教训

本文对希腊色雷斯罗姆语的语调系统进行了分析。该分析旨在强调自发的田野调查数据对传统的语调研究方法造成的困难，这些方法主要是为在实验室中或在类似实验室条件下从受过教育的标准化语言使用者引出的受控语音中使用而开发的。它导致提出一套原则和程序，可以帮助处理自发数据中固有的可变性；这些原则和程序特别适用于来自不太同质的语音社区的数据，但与任何语言系统的语调分析相关。这种方法依赖于这样的理解，即语调的自动分段度量表示是语音表示，不是忠实地描绘音高轮廓本身的手段。因此，表征应该捕捉所分析的语调系统中的对比内容。反过来，这需要假定新的类别，考虑到声调事件的含义，并在适当考虑所有合法的语音变化来源之后。有人认为，遵循此程序可以进行更可靠的分析，并且在数据高度可变时尤其有利。根据对希腊色雷斯罗姆语的分析，并结合最近提出的在语调表示中更大的统一性和语音透明度的建议，这些特征被讨论，这些特征据说会导致对类型学和跨品种研究的更深入的了解。