我在spacy代码中有一个例子：
from numpy import dot
from numpy.linalg import norm
from spacy.lang.en import English
parser = English()
# you can access known words from the parser's vocabulary
nasa = parser.vocab[u'NASA']
# cosine similarity
cosine = lambda v1, v2: dot(v1, v2) / (norm(v1) * norm(v2))
# gather all known words, take only the lowercased versions
allWords = list({w for w in parser.vocab if w.has_vector and
w.orth_.islower() and w.lower_ != unicode("nasa")})
# sort by similarity to NASA
allWords.sort(key=lambda w: cosine(w.vector, nasa.vector))
allWords.reverse()
print("Top 10 most similar words to NASA:")
for word in allWords[:10]:
print(word.orth_)
结果是这样的：
Top 10 most similar words to NASA:
Process finished with exit code 0
所以没有类似的话出来 . 我试图通过cmd安装解析器和手套：
python -m spacy.en.download parser
python -m spacy.en.download glove
但失败了，原来是：
C:\Python\python.exe: No module named en
顺便说一下，我使用：
Python 2.7.9
Spacy 2.0.9
它出什么问题了？谢谢
1 回答
您实例化的解析器不包含单词向量 . 检查https://spacy.io/models/以获取模型概述 .