Pith. sign in

REVIEW 1 cited by

ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2112.06223 v6 pith:PHBVSZPQ submitted 2021-12-12 cs.CL

Holy Lovenia , Samuel Cahyawijaya , Genta Indra Winata , Peng Xu , Xu Yan , Zihan Liu , Rita Frieske , Tiezheng Yu
show 6 more authors
Wenliang Dai Elham J. Barezi Qifeng Chen Xiaojuan Ma Bertram E. Shi Pascale Fung
This is my paper
classification cs.CL
keywords code-switchingspeechspontaneousascendchinese-englishcollectedconversationconversational
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Code-switching is a speech phenomenon occurring when a speaker switches language during a conversation. Despite the spontaneous nature of code-switching in conversational spoken language, most existing works collect code-switching data from read speech instead of spontaneous speech. ASCEND (A Spontaneous Chinese-English Dataset) is a high-quality Mandarin Chinese-English code-switching corpus built on spontaneous multi-turn conversational dialogue sources collected in Hong Kong. We report ASCEND's design and procedure for collecting the speech data, including annotations. ASCEND consists of 10.62 hours of clean speech, collected from 23 bilingual speakers of Chinese and English. Furthermore, we conduct baseline experiments using pre-trained wav2vec 2.0 models, achieving a best performance of 22.69\% character error rate and 27.05% mixed error rate.

Discussion (0). Sign in to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. SwitchLingua: The First Large-Scale Multilingual and Multi-Ethnic Code-Switching Dataset

    cs.CL 2025-05 reject novelty 5.0 of 10

    The authors present SwitchLingua, a large multilingual code-switching text and audio dataset, and SAER, a semantic-aware error metric for code-switching ASR evaluation.

Pith tools