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Arabic dialects identification system

Steps to prepare a dataset for training

1. each dialect in one file
2. split each file into train (90) and test (10)split -l $[ $(wc -l filename|cut -d" " -f1) * 90 / 100 ] filename
3. split each train into linessplit -l 1 -a 4 -d file.ext prefix ara_
4. prepare directory structure:train_corpus/domain/lang/docs/

note : corpus_model_n_grams old model builded on old version of data without preorocessing