The main functionality of iGREAT is implemented by two programs:
giati -> a tool to train an SFST from a word-aligned parallel corpus
refx -> a tool to translate a test corpus by means of a trained SFST
Additionally, iGREAT includes two more tools for a log-linear approach to SMT:
arpa2tr -> a tool to turn ARPA language models into SFSTs
local -> several phrase-based local features are computed for a given
set of bilingual phrase pairs: phrase-based lexical
probabilities (direct and inverse lexical translation models)and a target-sentence length model.
simplex -> a tool to train the set of weights within a log-linear approach
