spaCy 并行分词

在使用spacy的时候，感觉比nltk慢了许多，一直在寻找并行化的方案，好在找到了，下面给出spaCy并行化的分词方法使用示例：

import spacy

nlp = spacy.load("en")

docs = [

    "Our dream was to bring to Shanghai a tribute event dedicated to China which tells our history and visio.",

    "It was not simply a fashion show, but something that we created especially with love and passion for China and all the people around the world who loves Dolce & Gabbana"

]

for doc in nlp.pipe(docs, batch_size=100, n_threads=3):

    print(list(doc))

    print("*" * 50)

巴特西

spaCy 并行分词

spaCy 并行分词

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