The exact algorithm is a pastiche of well-known methods, and is not currently described in any single publication.The model is a greedy transition-based parser guided by a linear model whose weights are learned using the averaged perceptron loss, via the dynamic oracle imitation learning strategy.from en import English nlp = English() tokens = nlp('Some\nspaces and\ttab characters') tokens_text = [for t in tokens] assert tokens_text == ['Some', '\n', 'spaces', ' ', 'and', '\t', 'tab', 'characters'] Tokenization standards are based on the Onto Notes 5 corpus.
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