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@@ -3,4 +3,21 @@ library_name: spacy
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  metrics:
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  - accuracy
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  pipeline_tag: token-classification
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  metrics:
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  - accuracy
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  pipeline_tag: token-classification
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+ ---
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+
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+ # NER for Early New High German (Frühneuhochdeutsch)
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+ Based on the SpaCy German model and trained on letters from the [Bullinger collection](http://www.bullinger-digital.ch/)
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+
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+ # How to use
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+
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+ ```python
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+ import spacy
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+ nlp = spacy.load('./enhg_pipeline')
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+ doc = nlp('Ich hab euch uff gestert ouch by ainem mennlin von Strasburg geschriben mitt ainem brieff gen Bern gehörig.')
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+ for ent in doc.ents:
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+ print(ent.text, ent.label_)
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+
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+ # Output:
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+ # Strasburg GEO
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+ # Bern GEO
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+ ```