Building a corpus of ELF (English Lingua Franca) user negotiated interactions

构建 ELF（英语通用语言）用户协商交互的语料库

基本信息

批准号：
18K00835
负责人：
立木ドナ
金额：
$ 2.75万
依托单位：
Kobe City University of Foreign Studies
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2018
资助国家：
日本
起止时间：
2018-04-01 至 2024-03-31
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18K00835/
关键词：
lingua franca simulations corpus ELF community of practice conversation analysis repair linguistic features negotiation Corpus MUN English Lingua Franca Model UN simulations model UN group interaction interaction

项目摘要

This is the first attempt to collect spoken data in Model United Nations simulations in order to prepare a corpus for linguistic research. Much was learned in the process of doing this research from methodological and technical standpoints. Despite a number of difficulties (such as, the move to online events during COVID that rendered it difficult to collect spontaneous multiparty speech data) the efforts so far have made it possible to do several qualitative analyses in order to ascertain the comparability of the English as a LIngua Franca produced by the speakers in this corpus (MUNCE--Model United Nations Corpus of English) with other ELF corpora such as ACE (Asian Corpus of English) and VOICE (Vienna Oxford Corpus of English). The areas compared thus far include, the use of repair strategies for accommodation, and the production of non-standard forms by ELF speakers that are also seen in native speaker language. Analyses still underway and pending publication include a comparison of creative instances of metaphor and hybrid idioms found across ELF corpora, and accommodation strategies used by native speakers when interacting with ELF speakers, as well as a comparison of the use of redundancy for mutual intelligibility. Several book chapters, journal articles and conference presentations have been produced on the basis of these preliminary qualitative analyses with plans for a continuation of this research (including further data collection, transcription, coding and eventual quantitative analyses) even after and beyond the conclusion of the grant period.

这是首次尝试在模拟联合国模拟中收集口语数据，以便为语言研究准备语料库。在进行这项研究的过程中，从方法和技术的角度学到了很多东西。尽管存在许多困难（例如，在新冠疫情期间，活动转向在线活动，因此很难收集自发的多方语音数据），但迄今为止，我们已经做出了一些定性分析，以确定英语与英语的可比性。由该语料库（MUNCE——模拟联合国英语语料库）中的说话者与其他 ELF 语料库（例如 ACE（亚洲英语语料库）和 VOICE（维也纳牛津英语语料库））制作的通用语。迄今为止比较的领域包括住宿修复策略的使用，以及 ELF 使用者制作的非标准形式，这些形式也出现在母语人士的语言中。仍在进行中并待发表的分析包括对 ELF 语料库中发现的隐喻和混合习语的创造性实例的比较，以及母语人士在与 ELF 使用者互动时使用的适应策略，以及对冗余的使用以实现相互理解的比较。在这些初步定性分析的基础上编写了一些书籍章节、期刊文章和会议演示文稿，并计划在研究结论结束后继续进行这项研究（包括进一步的数据收集、转录、编码和最终的定量分析）。授予期。