nltk.ProbabilisticProjectiveDependencyParser.train¶
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ProbabilisticProjectiveDependencyParser.
train
(graphs)[source]¶ Trains a ProbabilisticDependencyGrammar based on the list of input DependencyGraphs. This model is an implementation of Eisner’s (1996) Model C, which derives its statistics from head-word, head-tag, child-word, and child-tag relationships.
Parameters: graphs – A list of dependency graphs to train from. Type: list(DependencyGraph)