`nltk.TransitionParser`¶

class nltk.TransitionParser(algorithm)[source]¶: Class for transition based parser. Implement 2 algorithms which are “arc-standard” and “arc-eager”

Methods¶

__init__(algorithm)

param algorithm:
	the algorithm option of this parser. Currently support arc-standard and arc-eager algorithm

return:	The grammar used by this parser.

parse(depgraphs, modelFile)

param depgraphs:
	the list of test sentence, each sentence is represented as a dependency graph where the ‘head’ information is dummy

parse_all(sent, *args, **kwargs)

rtype:	list(Tree)

parse_one(sent, *args, **kwargs)

rtype:	Tree or None

parse_sents(sents, *args, **kwargs) Apply self.parse() to each element of sents.

train(depgraphs, modelfile) :param depgraphs : list of DependencyGraph as the training data

`ARC_EAGER`
`ARC_STANDARD`