python - Segmentation fault when training SpaCy NER model -


when trained spacy own annotations, randomly crash python probability. training data 50000 records , each of them unicode text , ner annotations.

    nlp = spacy.load('en', entity=false, parser=false)      ner = entityrecognizer(nlp.vocab, entity_types=entity_types)        itn in range(5):          random.shuffle(train_data)          raw_text, entity_offsets in train_data:              doc = nlp.make_doc(raw_text)              gold = goldparse(doc, entities=entity_offsets)                nlp.tagger(doc)              ner.update(doc, gold)      ner.model.end_training()      return ner

the error message like: enter image description here


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