Text Classification
Transformers
Safetensors
Multiple languages
roberta
ancient-egyptian
classification
transliteration
historical-nlp
ae-translit
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@@ -55,9 +55,7 @@ A fine-tuned `RoBERTa-base` model for classifying **Ancient Egyptian translitera
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  This model is designed for **historical text classification** and intended for exploratory research and as a performance baseline.
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  Current constraints include:
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  - **Data limitations**: ~10k balanced samples may not represent all orthographic variations.
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- - *Help needed*: Contribute labeled examples via [Form Link].
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  - **Period bias**: Middle Kingdom classification (F1=0.47) underperforms due to:
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- - Fewer attested texts in training data
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  - Orthographic overlap with neighboring periods
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  - **Best practices**: Always verify critical classifications with primary sources.
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  This model is designed for **historical text classification** and intended for exploratory research and as a performance baseline.
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  Current constraints include:
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  - **Data limitations**: ~10k balanced samples may not represent all orthographic variations.
 
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  - **Period bias**: Middle Kingdom classification (F1=0.47) underperforms due to:
 
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  - Orthographic overlap with neighboring periods
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  - **Best practices**: Always verify critical classifications with primary sources.
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