Abstract
In this paper, we introduce a carefully designed and collected language resource: UgChDial – a Uyghur dialogue corpus based on a chatroom environment. The Uyghur Chat-based Dialogue Corpus (UgChDial) is divided into two parts: (1). Two-party dialogues and (2). Multi-party dialogues. We ran a series of 25, 120-minutes each, two-party chat sessions, totaling 7323 turns and 1581 question-response pairs. We created 16 different scenarios and topics to gather these two-party conversations. The multi-party conversations were compiled from chitchats in general channels as well as free chats in topic-oriented public channels, yielding 5588 unique turns and 838 question-response pairs. The initial purpose of this corpus is to study query-response pairs in Uyghur, building on an existing fine-grained response space taxonomy for English. We provide here initial annotation results on the Uyghur response space classification task using UgChDial.- Anthology ID:
- 2022.lrec-1.336
- Volume:
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 3140–3149
- Language:
- URL:
- https://aclanthology.org/2022.lrec-1.336
- DOI:
- Cite (ACL):
- Zulipiye Yusupujiang and Jonathan Ginzburg. 2022. UgChDial: A Uyghur Chat-based Dialogue Corpus for Response Space Classification. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 3140–3149, Marseille, France. European Language Resources Association.
- Cite (Informal):
- UgChDial: A Uyghur Chat-based Dialogue Corpus for Response Space Classification (Yusupujiang & Ginzburg, LREC 2022)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2022.lrec-1.336.pdf