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  metrics:
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  - type: 'bleu'
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  value: 17.2
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
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  metrics:
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  - type: 'bleu'
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  value: 17.2
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+ ---
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+ This is a BART-large model finetuned on roughly 58000 aligned sentence pairs in English and Middle English, collected from the works of Geoffrey Chaucer, John Wycliffe, and the Gawain Poet.
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+ <br>
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+ It includes special characters such as þ.
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+ <br>
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+ This model reflects the spelling inconsistencies characteristic of Middle English.
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+ <br>
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+ Because the model is trained largely on poetry and some prose, it is best at translating those sorts of tasks.
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+ Performance can be improved by sentence tokenizing input data and translating sentence-by-sentence.
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+ Removing contractions (hadn't -> had not) also boosts performance.
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