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author | Taku Kudo <taku910@users.noreply.github.com> | 2018-06-08 18:32:55 +0300 |
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committer | GitHub <noreply@github.com> | 2018-06-08 18:32:55 +0300 |
commit | a929b634581c318e25ff0be15ab5d3bb1e247612 (patch) | |
tree | 1a3e18b3f45da337da37c3965233c48c21ef605a /README.md | |
parent | 53e4ae415e641d1e9211a38654ef11cc5817b699 (diff) |
Update README.md
Diffstat (limited to 'README.md')
-rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -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 |