nltk.parse.nonprojectivedependencyparser

module documentation
(source)

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Class DemoScorer Undocumented
Class DependencyScorerI A scorer for calculated the weights on the edges of a weighted dependency graph. This is used by a ProbabilisticNonprojectiveParser to initialize the edge weights of a DependencyGraph. While typically this would be done by training a binary classifier, any class that can return a multidimensional list representation of the edge weights can implement this interface...
Class NaiveBayesDependencyScorer A dependency scorer built around a MaxEnt classifier. In this particular class that classifier is a NaiveBayesClassifier. It uses head-word, head-tag, child-word, and child-tag features for classification.
Class NonprojectiveDependencyParser A non-projective, rule-based, dependency parser. This parser will return the set of all possible non-projective parses based on the word-to-word relations defined in the parser's dependency grammar, and will allow the branches of the parse tree to cross in order to capture a variety of linguistic phenomena that a projective parser will not.
Class ProbabilisticNonprojectiveParser A probabilistic non-projective dependency parser.
Function demo Undocumented
Function hall_demo Undocumented
Function nonprojective_conll_parse_demo Undocumented
Function rule_based_demo Undocumented
Variable logger Undocumented
def demo(): (source)

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def hall_demo(): (source)

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def nonprojective_conll_parse_demo(): (source)

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def rule_based_demo(): (source)

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logger = (source)

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