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Update Assamese.
Simplify Roman numerals ignore rules.
Temporarily using 1-layer model for Arabic.
* Colophon * Cover * Incipit * Index * Title
Update several languages.
* WIP 2-layer training. * Add inspect_attention debug method. * Add guided attention to fix multi-layer models. * Mask start and end token out of attention. * Add some documentation to model.py. * Tune hyperparameters for 1 layer. * Remove lines containing "folio" in source and normalized train sets. * Extract English lines from ara & per training sets. * Remove lines with English words from train sets. * Add static map option to S2S trans. * Add ignore rule to static maps. * Guard against source lines emptied by normalization. * Clean up sources from English words. * Re-train Arabic after removing English words. * Remove English clean-up artifacts. * Finalize Arabic data sets.
* WIP 2-layer training. * Add inspect_attention debug method. * Add guided attention to fix multi-layer models. * Mask start and end token out of attention. * Add some documentation to model.py. * Tune hyperparameters for 1 layer. * Remove lines containing "folio" in source and normalized train sets. * Extract English lines from ara & per training sets. * Remove lines with English words from train sets. * Add static map option to S2S trans. * Add ignore rule to static maps. * Guard against source lines emptied by normalization. * Clean up sources from English words. * Re-train Arabic after removing English words. * Remove English clean-up artifacts. * Finalize Arabic data sets. * Clean up Persian sources and rebuild tokenizer data. * Clean up Persian sources and normalized files. * Re-train Persian for 50 epochs (no plateau yet). * Remove lines containing "other" from Persian training set.
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