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  RESEARCH FOCUS
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- Broad objective: Explore the potential for small LLMs to support the process of cleaning Raw HTR output after
 
 
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  the machine transcription of English High Court of Admiralty depositions. We have both Raw HTR output and human corrected
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  HTR for the same tokens with page to page congruence, and broadly line by line congruence.
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  8. User testing of readability of raw HTR and different levels of machine and hand correction
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  * Impact on readability of raw HRT + rules based Python script optimised to domain
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  * Impact on readability of raw HTR + rules based Python script optimised to domain + different categories of fin-tuned small LLM machine adjustment
 
 
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  DATASETS
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  RESEARCH FOCUS
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+ **Broad objective**
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+
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+ Explore the potential for small LLMs to support the process of cleaning Raw HTR output after
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  the machine transcription of English High Court of Admiralty depositions. We have both Raw HTR output and human corrected
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  HTR for the same tokens with page to page congruence, and broadly line by line congruence.
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  8. User testing of readability of raw HTR and different levels of machine and hand correction
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  * Impact on readability of raw HRT + rules based Python script optimised to domain
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  * Impact on readability of raw HTR + rules based Python script optimised to domain + different categories of fin-tuned small LLM machine adjustment
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+
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+ **Integration of small LLMs with RAG pipeline**
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  DATASETS
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