Mariya Khudyakova, Natalia Antonova, Maria Nelubina, A. Surova, Anna Vorobyova, Alina Minnigulova, Natalia Gronskaya, Konstantin Yashin, Igor Medyanik, Tatiana Shishkovskaya, Galina Ryazanskaya, A. Zuev, Olga Dragoy, Aleksandra S. Skorobogatova
{"title":"Discourse Diversity Database (3D) for Clinical Linguistics Research: Design, Development, and Analysis","authors":"Mariya Khudyakova, Natalia Antonova, Maria Nelubina, A. Surova, Anna Vorobyova, Alina Minnigulova, Natalia Gronskaya, Konstantin Yashin, Igor Medyanik, Tatiana Shishkovskaya, Galina Ryazanskaya, A. Zuev, Olga Dragoy, Aleksandra S. Skorobogatova","doi":"10.1590/2176-4573e55885","DOIUrl":null,"url":null,"abstract":"ABSTRACT Discourse Diversity Database (3D) is a corpus designed for clinical linguistics research. It consists of oral speech samples of three different genres: picture-elicited narratives, personal stories, and picture-based instructions. The sub-sections of 3D include recordings by Russian speakers from three independent groups: people with brain tumors before and after tumor removal, people with schizophrenia, and neurologically healthy individuals. This article is devoted to the description of the data collection, the annotation scheme, and the specific characteristics of each sub-section of the corpus.","PeriodicalId":37906,"journal":{"name":"Bakhtiniana","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bakhtiniana","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/2176-4573e55885","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Arts and Humanities","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT Discourse Diversity Database (3D) is a corpus designed for clinical linguistics research. It consists of oral speech samples of three different genres: picture-elicited narratives, personal stories, and picture-based instructions. The sub-sections of 3D include recordings by Russian speakers from three independent groups: people with brain tumors before and after tumor removal, people with schizophrenia, and neurologically healthy individuals. This article is devoted to the description of the data collection, the annotation scheme, and the specific characteristics of each sub-section of the corpus.
BakhtinianaArts and Humanities-Literature and Literary Theory
CiteScore
0.20
自引率
0.00%
发文量
69
审稿时长
12 weeks
期刊介绍：
Bakhtiniana. Revista de Estudos do Discurso[Bakhtiniana. Journal of Discourse Studies], in electronic format, was created in 2008 by Programa de Estudos Pós-Graduados em Linguística Aplicada e Estudos da Linguagem [the Applied Linguistics and Language Studies Graduate Program] of Pontifícia Universidade Católica de São Paulo/LAEL-PUCSP and by the members of Linguagem, identidade e memória [Language, Identity and Memory] Research Group/CNPq (National Council for Scientific and Technological Development). The journal''s mission is to promote and to publicize research on discourse, mainly on dialogic studies. From 2019 on, it will publish an issue every three months. Each issue is composed of papers and book reviews written by professors and Phd researchers from international and national universities. This is the only journal that covers Bakhtinian studiesper seand that dialogues with other areas of knowledge in Brazil and abroad.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
