1 code implementation • 4 Apr 2023 • Nafis Sadeq, Byungkyu Kang, Prarit Lamba, Julian McAuley
In this work, we propose an approach for influencing MLM pretraining in a way that can improve language model performance on a variety of knowledge-intensive tasks.
1 code implementation • 21 Oct 2022 • Nafis Sadeq, Canwen Xu, Julian McAuley
In this paper, we propose InforMask, a new unsupervised masking strategy for training masked language models.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Nafis Sadeq, Nafis Tahmid Chowdhury, Farhan Tanvir Utshaw, Shafayat Ahmed, Muhammad Abdullah Adnan
In this work, we focus on using a semi-supervised training approach for Bangla Speech Recognition that can exploit large unpaired audio and text data.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • LREC 2020 • Shafayat Ahmed, Nafis Sadeq, Sudipta Saha Shubha, Md. Nahidul Islam, Muhammad Abdullah Adnan, Mohammad Zuberul Islam
The manual annotation of a large corpus is very difficult.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • NAACL 2019 • Sudipta Saha Shubha, Nafis Sadeq, Shafayat Ahmed, Md. Nahidul Islam, Muhammad Abdullah Adnan, Md. Yasin Ali Khan, Mohammad Zuberul Islam
Grapheme to phoneme (G2P) conversion is an integral part in various text and speech processing systems, such as: Text to Speech system, Speech Recognition system, etc.