readme: ---
  language:
  - 'en'  
  - 'me' 
  license: afl-3.0  
  tags:
  - 'translation'
  datasets:
  - 'Qilex/EN-ME' 
  metrics:
  - bleu  
  
  model-index:
  - name: 'en-me'
    results:
    - task:
        type: 'translation'          
        name: 'translation en-me'           
      dataset:
        type: 'translation'
        name: 'Qilex/EN-ME'      
      
      metrics:
        - type: 'bleu'         
          value: 17.2    
  ---
  
  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.
  <br>
  It includes special characters such as þ. 
  <br>
  This model reflects the spelling inconsistencies characteristic of Middle English.
  <br>
  Because the model is trained largely on poetry and some prose, it is best at translating those sorts of tasks.
  <br>
  Performance can be improved by sentence tokenizing input data and translating sentence-by-sentence.
  <br>
  Removing contractions (hadn't -> had not) also boosts performance.
  
  