Punctuation restoration for speech transcripts using large language models

Punctuation restoration for speech transcripts using large language models

This thesis explores punctuation restoration in speech transcripts using Large Language Models (LLMs) to enhance text readability and comprehension. We focus on the efficacy of LLMs, specifically XLM-RoBERTa and Llama-2. The primary contributions include the refinement of the existing XLM-RoBERTa mo...

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Bibliographic Details
Main Author: Liu, Changsong
Other Authors: Chng Eng Siong
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2024
Subjects:
Computer and Information Science
Punctuation restoration
Large language models
Natural language processing
Online Access:https://hdl.handle.net/10356/175306

Internet

https://hdl.handle.net/10356/175306

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