úÎ977[   >Language-agnostic analyzer for positional morphosyntactic tags(c) Vjeran Crnjak, 2014BSD3vjeran.crnjak@gmail.com experimentalportableNoneRepresentation of the analyzer. IThis field represents the possible tagset of words used in this analyzer. Analyzer configuration, check . Maps  to (. Used primarily for space compression.6Compressed map of words to their possible set of tags.Check  for detailed info.ÿßThis is a layout of conflicts that POS tags might have. If there are conflicts the specialized DAWGs are used to resolve them. For example. It might be the case that words that can be adjectives can also be pronouns. If the analyzer isn't thorough enough (the provided construction data doesn't have all cases covered) one would also like that words that are adjectives are also interpreted as being pronouns. If a word has only data about being an adjective but one wants it to be treated as a pronouns too (in some contexts) this is a useful thing to set up. What can happen is that a word has a very long suffix which matches an adjective but it can also be a pronoun. In that case one would like pronoun tags too.RContains for each POS a set of POS for which the specialized DAWGs can be fetched.€Map containing all the specialized DAWGs. * Specialized DAWG contains only words linked with a POS which is the key in the map.Configuration for the analyzer.LIf word isn't known this is the smallest suffix length that will be matched.µA list of regular expressions (POSIX) and accompanying set of tags. If a word matches a regular expression, the accompanying set of tags will be given as the set of possible tags.GProvides the analyzer with the ability to analyze the word on a single ÿ\-tag in case incomplete construction corpus is present. (Ex. Croatian adjectives and pronouns) It might be the case that words that can be adjectives can also be pronouns. If the analyzer isn't thorough enough (the provided construction data doesn't have all cases covered) one would also like that words that are adjectives are also interpreted as being pronouns. What can happen is, an unknown word has a very long suffix that matches an adjective, but it can also be a pronoun. In that case one would like pronoun tags too. If your construction data is very large this doesn't have to be used.Gives back a set of  given the indices.fGives a set of possible tags for a given word. It is possible that the set of possible tags is empty.kMatches all the provided regular expressions and takes the accompanying set of the first one that matches.Returns a set of tags from the ) without any conditions or adjustments. w should be in reversed form for .^Adds the possible tags from specialized dawgs containing MSDs with one kind of POS attribute.BSave analyzer in a file. Data is compressed using the gzip format.Load analyzer from a file. ŒCreates a morphological analyzer given a tagset, a list of regex for additional matching, smallest suffix length and a construction corpus. TChecks whether a word is in the analyzer. If it is the set of tags returned by the  will be non-empty.lTransforms a given string to a model suited string. Ex. Nsmnn -> N:s:m:n:n, or Vmp-sf -> V:m:p:9:s:f, all  to '9'.   'Tagset used in the construction corpus.Configuration of the analyzer.Construction corpus.Morphological analyzer. !"#      !"#$      !"#$%&'()*+, moan-0.1.0.0NLP.Morphosyntax.AnalyzerAnalyzerAConf suffixLen regexMatchseparationLayoutgetTagssaveloadcreateelemtagsetconfnumToTagghc-prim GHC.TypesInttagset-positional-0.3.0Data.Tagset.PositionalTagdawgcsl ConstLayoutsdawgs posToDawgPOStoTags matchOnRegex getPureTags dawg-0.11Data.DAWG.StaticDAWG expandTagstransformToConfigbaseGHC.Num-CSL modelVersion suffixSet$fBinaryAnalyzer$fBinaryConstLayout $fBinaryAConf