Improving Efficiency of Sentence Boundary Detection by Feature Selection. - Thi-Nga Ho; Tze Yuang Chong; Van Hai Do; Van Tung Pham; Eng Siong Chng (ACIIDS (2), 2016)

A review of the mandarin-english code-switching corpus: SEAME. - Grandee Lee; Thi-Nga Ho; Eng Siong Chng; Haizhou Li 001 (IALP, 2017)

A Hybrid Deep Learning Architecture for Sentence Unit Detection. - Duy-Cat Can; Thi-Nga Ho; Eng Siong Chng (IALP, 2018)

An Investigation of Word Embeddings with Deep Bidirectional LSTM for Sentence Unit Detection in Automatic Speech Transcription. - Thi-Nga Ho; Duy-Cat Can; Engsiong Chng (IALP, 2018)

Transfer Learning for Punctuation Prediction. - Karan Makhija; Thi-Nga Ho; Eng Siong Chng (APSIPA, 2019)

Punctuation Restoration for Singaporean Spoken Languages: English, Malay, and Mandarin. - Abhinav Rao; Thi-Nga Ho; Eng Siong Chng (CoRR, 2022)

An Empirical Study on Punctuation Restoration for English, Mandarin, and Code-Switching Speech. - Changsong Liu; Thi-Nga Ho; Eng Siong Chng (ACIIDS (2), 2023)

Adapting Code-Switching Language Models with Statistical-Based Text Augmentation. - Chaiyasait Prachaseree; Kshitij Gupta; Thi-Nga Ho; Yizhou Peng; Kyaw Zin Tun; Eng Siong Chng; G. S. S. Chalapthi (ACIIDS (2), 2023)

Adopting Neural Translation Model in Data Generation for Inverse Text Normalization. - Yufei Jiang; Thi-Nga Ho; Eng Siong Chng (APSIPA ASC, 2023)

CASSI: Contextual and Semantic Structure-based Interpolation Augmentation for Low-Resource NER. - Tanmay Surana; Thi-Nga Ho; Kyaw Zin Tun; Eng Siong Chng (EMNLP (Findings), 2023)

Singaporean Conversational English-Malay Code-Switching Speech: An Analysis Based on Code-switching Points and Part -of-Speech. - Kshitij Gupta; Chaiyasait Prachaseree; Thi-Nga Ho; Kyaw Zin Tun; Jia Xin Koh; Ying Ying Tan; Eng Siong Chng; Chalapathi GSS (IALP, 2023)

Speech de-identification data augmentation leveraging large language model. - Priyanshu Dhingra; Satyam Agrawal; Chandra Sekar Veerappan; Thi-Nga Ho; Eng Siong Chng; Rong Tong (IALP, 2024)