Doctoral Dissertation Research: Sundanese complementation

本论文研究的是印尼第二大民族巽他语中的复句（包含一个从句和一个主句的句子）。主要目标是描述各种巽他语句子包含从句补充语（依赖从句），并将其结构与世界其他语言的结构进行比较，以测试当代语言学理论的各种假设。巽他语是爪哇西部的土著语言，约有3400万人使用，是印度尼西亚第三大使用最广泛的语言（仅次于印度尼西亚语和爪哇语）。尽管使用者人数众多，但孙达语在西方语言学文献中却很少受到关注，尽管有相当丰富的密切相关语言的文献。此外，现有的文献并没有以任何系统或全面的方式论述这里要研究的两种类型。因此，这项研究将填补我们对语言知识的一个相当大的空白，并将提供一个数据库，有助于当前和未来的语言辩论。 由于目前还没有对这些结构的详尽描述，汇编基本语言数据是该项目的一个关键组成部分。印度尼西亚的万隆将作为数据收集的主要地点，数据收集工作将由讲母语的共同主要研究者进行。将使用几种方法来收集必要的数据：直接启发（与母语者面对面的会议获得可接受性判断），录音对话和口头叙述，书面文本，以及现有的语言帐户。由此产生的句子和录音语料库将构成一个数据库，可供其他研究人员和感兴趣的公众使用。

This dissertation research investigates the grammar of complex sentences (sentences which contain a dependent clause as well as a main clause) in Sundanese, a language spoken by the second largest ethnic group in Indonesia. The primary goals are to describe various Sundanese sentences containing clausal complements (the dependent clause) and to compare their structure with that of other languages of the world in order to test various hypotheses of contemporary linguistic theory. Indigenous to western Java, Sundanese is spoken by approximately 34 million speakers, making it the third most widely spoken language in Indonesia (following Indonesian and Javanese). Despite the large number of speakers, Sundanese has received surprisingly little attention in the Western linguistics literature even though there is a fairly robust literature of closely related languages. Furthermore, what literature there is does not address the sentence-types to be examined here in any systematic or comprehensive way. Thus, this study will fill a sizable gap in our knowledge of the language and will provide a repository of data that will contribute to current and future linguistic debates. Since no exhaustive descriptions of these structures currently exist, compilation of primary linguistic data is a crucial component of the project. Bandung, Indonesia will serve as the principal location for data collection, which will be conducted by the native-speaker co-PI. Several methods will be used to gather the necessary data: direct elicitation (face-to-face sessions with native speakers getting acceptability judgments), recorded conversations and oral narratives, written texts, and existing accounts of the language. The resulting corpus of sentences and recordings will constitute a repository of data available to other researchers and interested members of the public.