Language Attitude of Interlocutors Towards Dialect Users by Means of Verbal Guise Test and Interview
- DOI
- 10.2991/assehr.k.220306.011How to use a DOI?
- Keywords
- Language attitude; Chinese dialect; Verbal-guised test; Baotou dialect
- Abstract
In China, the co-existence of various kinds of regional dialects is relatively noticeable. Since the promotion policy of Mandarin declared by the Chinese government, the amount of the speaker of Mandarin has been experiencing a tremendous increase. Therefore, the contact between Mandarin and different local dialects is unavoidable during this process. As a consequence, the mandarin articulation of these speakers is likely to be influenced by their regional dialects. Based on this premise, the interlocutor of these dialectal Mandarin speakers may generate different attitudes towards them, comparing to those towards the standard Mandarin speakers. Therefore, this research dissected the attitude towards one dialect accented Mandarin by employing the techniques of verbal guise test and interview, whose participants mainly consist of the students at the university of Nottingham, Ningbo, China. Through the result of the test and interview, this research discovered that the utterance of the speaker did not affect the impression of social status and the dispositional features of the speaker. However, the non-standard speech of the accented mandarin may result in the negative feeling of unintelligibility and unattractiveness.
- Copyright
- © 2022 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Linxin Zhang PY - 2022 DA - 2022/03/30 TI - Language Attitude of Interlocutors Towards Dialect Users by Means of Verbal Guise Test and Interview BT - Proceedings of the 8th International Conference on Education, Language, Art and Inter-cultural Communication (ICELAIC 2021) PB - Atlantis Press SP - 62 EP - 69 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.220306.011 DO - 10.2991/assehr.k.220306.011 ID - Zhang2022 ER -