/naacl2016

Codes for the experiments of NAACL 2016 long paper
  1. Shell 61.4%
  2. Python 19.3%
  3. C++ 18.4%
  4. Other 0.9%
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script
src
README.md
process.sh

README.md

naacl2016

Codes for the experiments of NAACL 2016 long paper

Starting experiments on active learning + machine translation

./process.sh

contains all the currently implemented steps.

External programs

Please build Moses toolkit with --with-mm option (Memory Mapped Suffix Array Phrase Table).

Please inc-giza-pp, a specialized version of GIZA++ word alignmer supporting incremental training. https://github.com/akivajp/inc-giza-pp

Some scripts use Travatar toolkit and Ckylark structure parser. Please install them and set the environment variables in script/config.sh.