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@@ -64,6 +64,30 @@ reduction) over zero-shot. Lemmatisation accuracy is comparable
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  representations but does not expand vocabulary coverage. Full
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  fine-tune lemma results are pending.
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  ## Usage
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  ```python
 
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  representations but does not expand vocabulary coverage. Full
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  fine-tune lemma results are pending.
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+ ## Intended Uses
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+
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+ - Part-of-speech tagging for Koine Greek texts (New Testament,
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+ Septuagint, Apostolic Fathers)
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+ - Lemmatisation of Hellenistic Greek passages
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+ - Feature extraction (encoder hidden states) for downstream tasks such
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+ as textual criticism, authorship attribution, and stylistic analysis
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+ - Fine-tuning on task-specific Koine Greek datasets (e.g., dependency
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+ parsing, named entity recognition)
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+ - Fill-in-the-blank text reconstruction for manuscript studies
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+
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+ ## Limitations
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+
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+ - Trained on ~1.5M Koine tokens — small by modern LM standards; may
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+ not generalize to rare vocabulary or hapax legomena
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+ - Span-corruption DAPT improves syntax (POS) but not lexical knowledge
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+ (lemmatisation is flat at 82.4%). Do not use as a lemmatiser without
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+ task-specific fine-tuning
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+ - DAPT corpus covers New Testament and Apostolic Fathers only; the
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+ Septuagint (~500K additional Koine tokens) is not yet included
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+ - Not evaluated on non-literary Koine (papyri, inscriptions, ostraca)
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+ - Generative output is illustrative, not production-quality; the model
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+ was trained for representation learning, not text generation
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+
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  ## Usage
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  ```python