mirror of
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37 lines
1.2 KiB
Python
37 lines
1.2 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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from ..tokens import Doc
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from ..attrs import ORTH, POS, HEAD, DEP
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def get_doc(vocab, words=[], pos=None, heads=None, deps=None, tags=None):
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"""Create Doc object from given vocab, words and annotations."""
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pos = pos or [''] * len(words)
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heads = heads or [0] * len(words)
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deps = deps or [''] * len(words)
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doc = Doc(vocab, words=words)
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attrs = doc.to_array([POS, HEAD, DEP])
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for i, (p, head, dep) in enumerate(zip(pos, heads, deps)):
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attrs[i, 0] = doc.vocab.strings[p]
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attrs[i, 1] = head
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attrs[i, 2] = doc.vocab.strings[dep]
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doc.from_array([POS, HEAD, DEP], attrs)
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if tags:
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for token in doc:
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token.tag_ = tags[token.i]
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return doc
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def apply_transition_sequence(parser, doc, sequence):
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"""Perform a series of pre-specified transitions, to put the parser in a
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desired state."""
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for action_name in sequence:
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if '-' in action_name:
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move, label = action_name.split('-')
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parser.add_label(label)
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with parser.step_through(doc) as stepwise:
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for transition in sequence:
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stepwise.transition(transition)
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