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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Format: | Final Year Project |
Language: | English |
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Nanyang Technological University
2024
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Online Access: | https://hdl.handle.net/10356/175306 |
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Institution: | Nanyang Technological University |
Language: | English |