úÎø½$      !"#None$%&'()*+,-./0123456$%&'()*$%&'()* Safe-Infered7featureSeq f z/ extracts features at each position of z G following current position, using f to combine features into bigrams. 8 features f z1 extracts features at the current position of z, + using f to combine features into bigrams. 787878 Safe-InferedSentence is a vector of tokens. FieldA is a part of a word token, such as word form, lemma or POS tag TokenF is a representation of a word, which consists of a number of fields.  parse text# returns a lazy list of sentences.     None #Container for the Word Class model learn options xs- runs the LDA Gibbs sampler for word classes  with options on sentences xs", and returns the resulting model , together progressive class the assignments  summary m4 returns a textual summary of word classes found in  model m !wordTypeClasses m/ returns a Map from word types to unnormalized ! distributions over word classes " label m s' returns for each word in sentences s, - unnormalized probabilities of word classes. # predict m s3 returns for each word in sentence s, unnormalized 4 probabilities of words given predicted word class. 9  !"#:;<=>   !"#% !"#    9  !"#:;<=>?      !"#$%&'()*+,-./0123423523623723823923:23;23<23=23>23?@ABCDEFGH colada-0.4.2Colada.WordClass NLP.CoNLL NLP.SymbolsColada.Featuresswift-lda-0.4.0 NLP.SwiftLDA topicWords topicDocstopics wordTopics docTopics FinalizedSentenceFieldTokenparseOptions WordClass featureTableldaModeloptions wordTypeTablealphasum batchSizebetaexponentfeatIds initPassesinitSizelambdapasses progressiverepeatsseedtopicNumtopndefaultOptionslearnsummarywordTypeClasseslabelpredictSymbolstoAtomAtoAtomB fromAtomA fromAtomB evalSymbols runSymbolsmonad-atom-0.4.1Control.Monad.AtommappingemptyevalAtom evalAtomTrunAtomrunAtomT AtomTableAtomTAtomfromAtom maybeToAtomtoAtom featureSeqfeatures$fSerializeOptions$fSerializeWordClass$fSerializeAtomTable$fSerializeVector$fSerializeText$fSerializeFinalized