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mkcls is a tool to train word classes by using a maximum-likelihood-criterion. The resulting word classes are especially suited for language. mkcls is a suite of algorithms for clustering words based on bigram contextual similarity written by Franz Och. The quality of the clusters is quite good relative those produced by similar clustering algorithms. This lets you use mkcls output in place of wcluster's, which can give. This package also contains the source for the mkcls tool which generates the word classes necessary for training some of the alignment models.
One of the standard tools (e.g., used in the Moses training pipeline) that does this is mkcls, written by Franz Och while he was doing his first. Next you need to generate word classes, using mkcls: $ mkcls -m2 apa-polyolefin.com - c50 apa-polyolefin.coms opt >& apa-polyolefin.com $ mkcls -m2. Because the mkcls script for MOSES and GIZA++ isn't parallelized, and the number of sentences and words in the million words in Europarl.
About Giza++ Open Source Text Processing Project: GIZA++ Install Giza++ First get the Giza++ related code: git clone apa-polyolefin.com Maharashtra Knowledge Corporation Limited (MKCL) was promoted by the Department of Higher and Technical Education (H & TE), Government of.