ABSTRACT The Dialogue Annotation and Research Tool (DART) is a tool designed to facilitate large-scale corpus-based research into pragmatics-related aspects, including syntax, pragmatics (speech-acts), semantico-pragmatics (Searle’s ‘IFIDS’), as well as other interaction-relevant features. This chapter aims at providing a detailed description and discussion of the DART annotation scheme, which has already been successfully applied to a number of corpora from various domains, and provide examples of its application and appliability to various types of spoken data, illustrating e.g. the ability to create speaker profiles that allow the researcher to investigate features of (in)directness & politeness, initiative, etc. (cf. Weisser 2016d). In doing so, I shall draw on materials from task-oriented corpora (SPAADIA; SRI Amex), unconstrained dialogue (Switchboard), and ‘English as a lingua franca (ELF)’ data from ICE-HK, at the same time illustrating the advantages of the scheme over prior existing schemes.

中文翻译：

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DART 注释方案：形式、适用性和应用

摘要 对话注释和研究工具 (DART) 是一种工具，旨在促进基于语料库的大规模语用学相关方面的研究，包括句法、语用学（言语行为）、语义语用学（Searle 的“IFIDS”），如以及其他与交互相关的功能。本章旨在提供对 DART 注释方案的详细描述和讨论，该方案已成功应用于来自各个领域的多个语料库，并提供其对各种类型口语数据的应用和适用性的示例，说明例如创建说话人档案，使研究人员能够调查（in）直接和礼貌、主动等的特征（参见 Weisser 2016d）。在这样做时，我将利用面向任务的语料库（SPAADIA；SRI Amex）的材料，