Transformer based Lightweight Model for Punctuation Restoration and Truecasing-Reference-Cited by-同舟云学术

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Transformer based Lightweight Model for Punctuation Restoration and Truecasing

Published:2024-02-16 Issue: Volume:9 Page:340-344
ISSN:
Container-title:2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE)
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Author:

Priya Sathi Krishna¹,A Senthil Kumar²,Kesavan Selvaraj³,Tayaru G R L M⁴,Maanasa Kakarla¹,Babu Vinod¹

Affiliation:

1. Shri Vishnu Engineering College for Women,Artificial Intelligence Dept,Bhimavaram,AP,India

2. Shri Vishnu Engineering College for Women,Artificial Intelligence Department,Bhimavaram,AP,India

3. DXC Technology,Bengalore,India

4. Shri Vishnu Engineering College for Women,Computer Science & Engineering,Bhimavaram,AP,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10502393/10502381/10502420.pdf?arnumber=10502420

Reference14 articles.

1. LSTM for punctuation restoration in speech transcripts

2. Punctuation prediction for unsegmented transcript based on word vector;Che

3. Bidirectional Recurrent Neural Network with Attention Mechanism for Punctuation Restoration

4. Bert: Pre-training of deep bidirectional transformers for language understanding;Devlin,2018

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