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diff --git a/training/dtrain/README.md b/training/dtrain/README.md new file mode 100644 index 00000000..7edabbf1 --- /dev/null +++ b/training/dtrain/README.md @@ -0,0 +1,48 @@ +This is a simple (and parallelizable) tuning method for cdec +which is able to train the weights of very many (sparse) features. +It was used here: + "Joint Feature Selection in Distributed Stochastic + Learning for Large-Scale Discriminative Training in + SMT" +(Simianer, Riezler, Dyer; ACL 2012) + + +Building +-------- +Builds when building cdec, see ../BUILDING . +To build only parts needed for dtrain do +``` + autoreconf -ifv + ./configure [--disable-gtest] + cd dtrain/; make +``` + +Running +------- +To run this on a dev set locally: +``` + #define DTRAIN_LOCAL +``` +otherwise remove that line or undef, then recompile. You need a single +grammar file or input annotated with per-sentence grammars (psg) as you +would use with cdec. Additionally you need to give dtrain a file with +references (--refs) when running locally. + +The input for use with hadoop streaming looks like this: +``` + <sid>\t<source>\t<ref>\t<grammar rules separated by \t> +``` +To convert a psg to this format you need to replace all "\n" +by "\t". Make sure there are no tabs in your data. + +For an example of local usage (with the 'distributed' format) +the see test/example/ . This expects dtrain to be built without +DTRAIN_LOCAL. + +Legal +----- +Copyright (c) 2012 by Patrick Simianer <p@simianer.de> + +See the file ../LICENSE.txt for the licensing terms that this software is +released under. + |