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author | Ales Tamchyna <a.tamchyna@gmail.com> | 2015-01-09 18:00:36 +0300 |
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committer | Ales Tamchyna <a.tamchyna@gmail.com> | 2015-01-09 18:00:36 +0300 |
commit | c8967c840a575f94bf8aa36b84c08773ea50c851 (patch) | |
tree | 35d1857a8c3edf5173f5138d50ba8f36b759bc3d /vw | |
parent | f1047978a9f727177c01f7af2136972407a880cd (diff) |
updating VW readme
Diffstat (limited to 'vw')
-rw-r--r-- | vw/README.md | 13 |
1 files changed, 12 insertions, 1 deletions
diff --git a/vw/README.md b/vw/README.md index dd434010b..7326b63d7 100644 --- a/vw/README.md +++ b/vw/README.md @@ -76,11 +76,22 @@ You can also use multiple classifiers: VW0= 0.2 VW1= 0.2 ... + +Features can use any combination of factors. Provide a comma-delimited list of factors in the `source-factors` or `target-factors` variables to override the default setting (`0`, i.e. the first factor). Training the classifier ----------------------- -To train a classifier, run `vwtrainer` (a limited version of the `moses` binary). Configure your features in the `moses.ini` file (see above) and set the `train` flag: +Training uses `vwtrainer` which is a limited version of the `moses` binary. To train, provide your training data as input in the following format: + + source tokens<tab>target tokens<tab>word alignment + +Use Moses format for the word alignment (`0-0 1-0` etc.). Set the input type to 5 (`TabbedSentence`, see above): + + [inputtype] + 5 + +Configure your features in the `moses.ini` file (see above) and set the `train` flag: [features] ... |