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

• 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

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.

这是第一次尝试在模拟联合国模拟中收集口语数据，以便为语言学研究编制语料库。在进行这项研究的过程中，从方法论和技术的角度学到了很多东西。尽管很多困难(例如,移动网络事件在COVID呈现很难收集自发的多方语音数据)的努力迄今为止能做一些定性分析,以确定英语作为通用语的相似性产生的扬声器在这个语料库(万成——模拟联合国的英语语料库)与其他精灵全集如ACE(亚洲英语语料库)和声音(维也纳牛津英语语料库)。到目前为止所比较的领域包括，住宿的修复策略的使用，以及ELF使用者制作的非标准表格，这些表格在母语中也可以看到。正在进行的分析和即将发表的分析包括在ELF语料库中发现的隐喻和混合习语的创造性实例的比较，母语使用者在与ELF使用者互动时使用的适应策略，以及为了相互理解而使用冗余的比较。在这些初步定性分析的基础上，已经编写了几本书的章节、期刊文章和会议报告，并计划在赠款期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）。

项目成果

Understanding Japan.

了解日本。

• 发表时间: 2021
• 作者: PAREPA Laura-Anca;KIDA Tsuyoshi;Monika Szirmai & Margit Krause-Ono;投野由紀夫;TATSUKI Donna & ZENUK-NISHIDE Lori
• 通讯作者: TATSUKI Donna & ZENUK-NISHIDE Lori

Routledge Handbook of Second Language Acquisition and Pragmatics

劳特利奇第二语言习得和语用手册

• 发表时间: 2019
• 作者: Taguchi;Naoko; Tatsuki;Donna; et al
• 通讯作者: Donna; et al

Global Negotiation Symposium

全球谈判研讨会

• 发表时间: 2019

Repair Strategies in the Model UN Corpus of English (MUNCE).

模拟联合国英语语料库 (MUNCE) 中的修复策略。

• 发表时间: 2022
• 期刊: New Perspectives: A Journal of TESOL Italy
• 作者: Linfeng wang ;Yuko Takeishi;Keisuke Fukaya ;Tatsuo Yoshikawa;Kenji Sekiyama;田邉鉄;山崎 直樹;田邉鉄;千田大介;FAST Thomas;Negishi Masashi;Negishi Masashi;TATSUKI Donna;山下一夫・吉川龍生;TATSUKI Donna
• 通讯作者: TATSUKI Donna

1000 Questions for Interaction: Conversations, Discussions, Surveys, and More

1000 个互动问题：对话、讨论、调查等

• 发表时间: 2019
• 作者: Morbiducci;M. & Tatsuki;D . In Graziano & Cinganotto (eds.);Tatsuki Donna
• 通讯作者: Tatsuki Donna