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Merge pull request #1128 from thinline72/patch-1

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Changed the capital of Lithuania to Vilnius
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Ines Montani 2017-06-13 13:14:43 +02:00 committed by GitHub
commit f64e3efc76
1 changed files with 4 additions and 4 deletions
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8
website/docs/usage/word-vectors-similarities.jade
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@ -77,7 +77,7 @@ p
+code. +code.
doc1 = nlp(u"Paris is the largest city in France.") doc1 = nlp(u"Paris is the largest city in France.")
doc2 = nlp(u"Ljubljana is the capital of Lithuania.") doc2 = nlp(u"Vilnius is the capital of Lithuania.")
doc3 = nlp(u"An emu is a large bird.") doc3 = nlp(u"An emu is a large bird.")
for doc in [doc1, doc2, doc3]: for doc in [doc1, doc2, doc3]:
@ -85,13 +85,13 @@ p
print(doc.similarity(other_doc)) print(doc.similarity(other_doc))
p p
| Even though the sentences about Paris and Ljubljana consist of different | Even though the sentences about Paris and Vilnius consist of different
| words and entities, they both describe the same concept and are seen as | words and entities, they both describe the same concept and are seen as
| more similar than the sentence about emus. In this case, even a misspelled | more similar than the sentence about emus. In this case, even a misspelled
| version of "Ljubljana" would still produce very similar results. | version of "Vilnius" would still produce very similar results.
+table +table
- var examples = {"Paris is the largest city in France.": [1, 0.84, 0.65], "Ljubljana is the capital of Lithuania.": [0.84, 1, 0.52], "An emu is a large bird.": [0.65, 0.52, 1]} - var examples = {"Paris is the largest city in France.": [1, 0.85, 0.65], "Vilnius is the capital of Lithuania.": [0.85, 1, 0.55], "An emu is a large bird.": [0.65, 0.55, 1]}
- var counter = 0 - var counter = 0
+row +row