## tagger training invoked at Fri Feb 14 00:55:55 PST 2014 with arguments:
                   model = arabic-train.tagger
                    arch = words(-2,2),order(1),prefix(6),suffix(6),unicodeshapes(1)
            wordFunction = 
               trainFile = format=TREES,/u/nlp/data/lexparser/trees/Arabic/2-Unvoc-Train.utf8.txt;format=TREES,/u/nlp/data/lexparser/trees/Arabic/2-Unvoc-Dev.utf8.txt;format=TREES,/u/nlp/data/lexparser/trees/Arabic/2-Unvoc-Test.utf8.txt
         closedClassTags = 
 closedClassTagThreshold = 40
 curWordMinFeatureThresh = 1
                   debug = false
             debugPrefix = 
            tagSeparator = /
                encoding = UTF-8
              iterations = 100
                    lang = arabic
    learnClosedClassTags = false
        minFeatureThresh = 3
           openClassTags = 
rareWordMinFeatureThresh = 3
          rareWordThresh = 5
                  search = owlqn
                    sgml = false
            sigmaSquared = 0.0
                   regL1 = 0.75
               tagInside = 
                tokenize = false
        tokenizerFactory = edu.stanford.nlp.process.WhitespaceTokenizer
        tokenizerOptions = 
                 verbose = false
          verboseResults = true
    veryCommonWordThresh = 250
                xmlInput = 
              outputFile = 
            outputFormat = slashTags
     outputFormatOptions = 
                nthreads = 1