2021-01-14 08:07:24 +01:00
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## tagger training invoked at Fri Feb 14 02:20:03 PST 2014 with arguments:
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model = chinese-nodistsim.tagger
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arch = generic,suffix(4),prefix(4),unicodeshapes(-1,1),unicodeshapeconjunction(-1,1),words(-2,-2),words(2,2)
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wordFunction = edu.stanford.nlp.util.UTF8EquivalenceFunction
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trainFile = format=TREES,/u/nlp/data/chinese/ctb7/train.mrg
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closedClassTags =
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closedClassTagThreshold = 40
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curWordMinFeatureThresh = 1
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debug = false
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debugPrefix =
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tagSeparator = #
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encoding = utf-8
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iterations = 100
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lang = chinese
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learnClosedClassTags = false
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minFeatureThresh = 3
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openClassTags =
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rareWordMinFeatureThresh = 3
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rareWordThresh = 20
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search = owlqn
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sgml = false
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sigmaSquared = 0.0
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regL1 = 0.75
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tagInside =
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tokenize = false
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tokenizerFactory =
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tokenizerOptions =
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verbose = false
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verboseResults = true
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veryCommonWordThresh = 250
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xmlInput = null
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outputFile =
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outputFormat = slashTags
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outputFormatOptions =
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nthreads = 1
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