NER for Latin

Trained using letters from the Bullinger collection, based on mbert.

How to use

import spacy
nlp = spacy.load('./enhg_pipeline')
doc = nlp('Norimberga in proximum quoddam Ulmensibus oppidulum Leypphaim sese contulit, certa spe recuperandae sedis, e qua nuper est detrusus.')
for ent in doc.ents:
  print(ent.text, ent.label_)

# Output:
# Norimberga GEO
# Ulmensibus GEO

Evaluation

F-Score: 0.8970679975
Precision: 0.8860135551,
Recall: 0.9084017688,

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Inference Examples

Token Classification

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