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authorTaku Kudo <taku910@users.noreply.github.com>2018-06-08 18:32:55 +0300
committerGitHub <noreply@github.com>2018-06-08 18:32:55 +0300
commita929b634581c318e25ff0be15ab5d3bb1e247612 (patch)
tree1a3e18b3f45da337da37c3965233c48c21ef605a /README.md
parent53e4ae415e641d1e9211a38654ef11cc5817b699 (diff)
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@@ -268,7 +268,7 @@ The usage is basically the same as that of ```subword-nmt```. Assming that L1 an
% spm_encode --model=spm.model --generate_vocabulary < {train_file}.L2 > {vocab_file}.L2
```
-```shuffle``` command is used just in case because ```spm_encode``` loads the first 10M lines of corpus by default.
+```shuffle``` command is used just in case because ```spm_train``` loads the first 10M lines of corpus by default.
Then segment train/test corpus with ```--vocabulary``` option