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# -*- coding: utf-8 -*- |
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# Copyright 2019 by Christopher C. Little. |
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# This file is part of Abydos. |
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# |
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# Abydos is free software: you can redistribute it and/or modify |
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# it under the terms of the GNU General Public License as published by |
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# the Free Software Foundation, either version 3 of the License, or |
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# (at your option) any later version. |
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# |
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# Abydos is distributed in the hope that it will be useful, |
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# but WITHOUT ANY WARRANTY; without even the implied warranty of |
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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# GNU General Public License for more details. |
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# |
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# You should have received a copy of the GNU General Public License |
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# along with Abydos. If not, see <http://www.gnu.org/licenses/>. |
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"""abydos.distance._aline. |
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ALINE alignment, similarity, and distance |
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""" |
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from __future__ import ( |
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absolute_import, |
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division, |
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print_function, |
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unicode_literals, |
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) |
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from copy import deepcopy |
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from numpy import NINF |
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from numpy import float as np_float |
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from numpy import zeros as np_zeros |
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from ._distance import _Distance |
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__all__ = ['ALINE'] |
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class ALINE(_Distance): |
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r"""ALINE alignment, similarity, and distance. |
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ALINE alignment was developed by |
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:cite:`Kondrak:2000,Kondrak:2002,Downey:2008`, and establishes an |
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alignment algorithm based on multivalued phonetic features and feature |
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salience weights. Along with the alignment itself, the algorithm produces a |
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term similarity score. |
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:cite:`Downey:2008` develops ALINE's similarity score into a similarity |
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measure & distance measure: |
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.. math:: |
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sim_{ALINE} = \frac{2 \dot score_{ALINE}(src, tar)} |
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{score_{ALINE}(src, src) + score_{ALINE}(tar, tar)} |
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However, because the average of the two self-similarity scores is not |
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guaranteed to be greater than or equal to the similarity score between |
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the two strings, by default, this formula is not used here in order to |
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guarantee that the similarity measure is bounded to [0, 1]. Instead, |
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Kondrak's similarity measure is employed: |
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.. math:: |
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sim_{ALINE} = \frac{score_{ALINE}(src, tar)} |
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{max(score_{ALINE}(src, src), score_{ALINE}(tar, tar))} |
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.. versionadded:: 0.4.0 |
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""" |
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# The three dicts below are mostly copied from NLTK's implementation |
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# https://www.nltk.org/_modules/nltk/metrics/aline.html |
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# But values have been returned, as much as possible to the reference |
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# values supplied in Kondrak's paper. |
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feature_weights = { |
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# place |
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'bilabial': 1.0, |
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'labiodental': 0.95, |
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'dental': 0.9, |
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'alveolar': 0.85, |
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'retroflex': 0.8, |
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'palato-alveolar': 0.75, |
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'palatal': 0.7, |
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'velar': 0.6, |
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'uvular': 0.5, |
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'pharyngeal': 0.3, |
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'glottal': 0.1, |
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# manner |
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'stop': 1.0, |
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'affricate': 0.9, |
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'fricative': 0.8, |
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'approximant': 0.6, |
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'trill': 0.55, # not in original |
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'tap': 0.5, # not in original |
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'high vowel': 0.4, |
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'mid vowel': 0.2, |
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'low vowel': 0.0, |
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# high |
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'high': 1.0, |
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'mid': 0.5, |
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'low': 0.0, |
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# back |
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'front': 1.0, |
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'central': 0.5, |
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'back': 0.0, |
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# binary features |
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'plus': 1.0, |
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'minus': 0.0, |
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} |
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v_features = { |
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'syllabic', |
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'nasal', |
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'retroflex', |
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'high', |
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'back', |
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'round', |
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'long', |
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} |
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c_features = { |
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'syllabic', |
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'manner', |
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'voice', |
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'nasal', |
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'retroflex', |
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'lateral', |
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'aspirated', |
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'place', |
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} |
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salience = { |
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'syllabic': 5, |
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'voice': 10, |
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'lateral': 10, |
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'high': 5, |
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'manner': 50, |
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'long': 1, |
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'place': 40, |
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'nasal': 10, |
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'aspirated': 5, |
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'back': 5, |
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'retroflex': 10, |
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'round': 5, |
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} |
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phones_ipa = { |
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'p': { |
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'place': 'bilabial', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'minus', |
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'nasal': 'minus', |
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'retroflex': 'minus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'b': { |
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'place': 'bilabial', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'plus', |
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'nasal': 'minus', |
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'retroflex': 'minus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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't': { |
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'place': 'alveolar', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'minus', |
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'nasal': 'minus', |
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'retroflex': 'minus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'd': { |
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'place': 'alveolar', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'plus', |
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'nasal': 'minus', |
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'retroflex': 'minus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'ʈ': { |
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'place': 'retroflex', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'minus', |
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'nasal': 'minus', |
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'retroflex': 'plus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'ɖ': { |
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'place': 'retroflex', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'plus', |
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'nasal': 'minus', |
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'retroflex': 'plus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'c': { |
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'place': 'palatal', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'minus', |
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'nasal': 'minus', |
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'retroflex': 'minus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'ɟ': { |
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'place': 'palatal', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'plus', |
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'nasal': 'minus', |
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'retroflex': 'minus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'k': { |
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'place': 'velar', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'minus', |
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'nasal': 'minus', |
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'retroflex': 'minus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'g': { |
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'place': 'velar', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'plus', |
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'nasal': 'minus', |
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'retroflex': 'minus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'q': { |
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'place': 'uvular', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'minus', |
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'nasal': 'minus', |
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'retroflex': 'minus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'ɢ': { |
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'place': 'uvular', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'plus', |
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'nasal': 'minus', |
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'retroflex': 'minus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'ʔ': { |
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'place': 'glottal', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'minus', |
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'nasal': 'minus', |
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'retroflex': 'minus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'm': { |
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'place': 'bilabial', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'plus', |
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'nasal': 'plus', |
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'retroflex': 'minus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'ɱ': { |
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'place': 'labiodental', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'plus', |
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'nasal': 'plus', |
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'retroflex': 'minus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'n': { |
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'place': 'alveolar', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'plus', |
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'nasal': 'plus', |
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'retroflex': 'minus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'ɳ': { |
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'place': 'retroflex', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'plus', |
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'nasal': 'plus', |
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'retroflex': 'plus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'ɲ': { |
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'place': 'palatal', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'plus', |
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'nasal': 'plus', |
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'retroflex': 'minus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'ŋ': { |
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'place': 'velar', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'plus', |
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'nasal': 'plus', |
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'retroflex': 'minus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'ɴ': { |
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'place': 'uvular', |
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'manner': 'stop', |
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'syllabic': 'minus', |
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'voice': 'plus', |
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'nasal': 'plus', |
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'retroflex': 'minus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'ʙ': { |
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'place': 'bilabial', |
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'manner': 'trill', |
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'syllabic': 'minus', |
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'voice': 'plus', |
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'nasal': 'minus', |
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'retroflex': 'minus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'r': { |
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'place': 'alveolar', |
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'manner': 'trill', |
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'syllabic': 'minus', |
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'voice': 'plus', |
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'nasal': 'minus', |
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'retroflex': 'plus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'ʀ': { |
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'place': 'uvular', |
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'manner': 'trill', |
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'syllabic': 'minus', |
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'voice': 'plus', |
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'nasal': 'minus', |
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'retroflex': 'minus', |
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'lateral': 'minus', |
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'aspirated': 'minus', |
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}, |
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'ɾ': { |
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'place': 'alveolar', |
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'manner': 'tap', |
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'syllabic': 'minus', |
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|
|
|
'voice': 'plus', |
385
|
|
|
'nasal': 'minus', |
386
|
|
|
'retroflex': 'minus', |
387
|
|
|
'lateral': 'minus', |
388
|
|
|
'aspirated': 'minus', |
389
|
|
|
}, |
390
|
|
|
'ɽ': { |
391
|
|
|
'place': 'retroflex', |
392
|
|
|
'manner': 'tap', |
393
|
|
|
'syllabic': 'minus', |
394
|
|
|
'voice': 'plus', |
395
|
|
|
'nasal': 'minus', |
396
|
|
|
'retroflex': 'plus', |
397
|
|
|
'lateral': 'minus', |
398
|
|
|
'aspirated': 'minus', |
399
|
|
|
}, |
400
|
|
|
'ɸ': { |
401
|
|
|
'place': 'bilabial', |
402
|
|
|
'manner': 'fricative', |
403
|
|
|
'syllabic': 'minus', |
404
|
|
|
'voice': 'minus', |
405
|
|
|
'nasal': 'minus', |
406
|
|
|
'retroflex': 'minus', |
407
|
|
|
'lateral': 'minus', |
408
|
|
|
'aspirated': 'minus', |
409
|
|
|
}, |
410
|
|
|
'β': { |
411
|
|
|
'place': 'bilabial', |
412
|
|
|
'manner': 'fricative', |
413
|
|
|
'syllabic': 'minus', |
414
|
|
|
'voice': 'plus', |
415
|
|
|
'nasal': 'minus', |
416
|
|
|
'retroflex': 'minus', |
417
|
|
|
'lateral': 'minus', |
418
|
|
|
'aspirated': 'minus', |
419
|
|
|
}, |
420
|
|
|
'f': { |
421
|
|
|
'place': 'labiodental', |
422
|
|
|
'manner': 'fricative', |
423
|
|
|
'syllabic': 'minus', |
424
|
|
|
'voice': 'minus', |
425
|
|
|
'nasal': 'minus', |
426
|
|
|
'retroflex': 'minus', |
427
|
|
|
'lateral': 'minus', |
428
|
|
|
'aspirated': 'minus', |
429
|
|
|
}, |
430
|
|
|
'v': { |
431
|
|
|
'place': 'labiodental', |
432
|
|
|
'manner': 'fricative', |
433
|
|
|
'syllabic': 'minus', |
434
|
|
|
'voice': 'plus', |
435
|
|
|
'nasal': 'minus', |
436
|
|
|
'retroflex': 'minus', |
437
|
|
|
'lateral': 'minus', |
438
|
|
|
'aspirated': 'minus', |
439
|
|
|
}, |
440
|
|
|
'θ': { |
441
|
|
|
'place': 'dental', |
442
|
|
|
'manner': 'fricative', |
443
|
|
|
'syllabic': 'minus', |
444
|
|
|
'voice': 'minus', |
445
|
|
|
'nasal': 'minus', |
446
|
|
|
'retroflex': 'minus', |
447
|
|
|
'lateral': 'minus', |
448
|
|
|
'aspirated': 'minus', |
449
|
|
|
}, |
450
|
|
|
'ð': { |
451
|
|
|
'place': 'dental', |
452
|
|
|
'manner': 'fricative', |
453
|
|
|
'syllabic': 'minus', |
454
|
|
|
'voice': 'plus', |
455
|
|
|
'nasal': 'minus', |
456
|
|
|
'retroflex': 'minus', |
457
|
|
|
'lateral': 'minus', |
458
|
|
|
'aspirated': 'minus', |
459
|
|
|
}, |
460
|
|
|
's': { |
461
|
|
|
'place': 'alveolar', |
462
|
|
|
'manner': 'fricative', |
463
|
|
|
'syllabic': 'minus', |
464
|
|
|
'voice': 'minus', |
465
|
|
|
'nasal': 'minus', |
466
|
|
|
'retroflex': 'minus', |
467
|
|
|
'lateral': 'minus', |
468
|
|
|
'aspirated': 'minus', |
469
|
|
|
}, |
470
|
|
|
'z': { |
471
|
|
|
'place': 'alveolar', |
472
|
|
|
'manner': 'fricative', |
473
|
|
|
'syllabic': 'minus', |
474
|
|
|
'voice': 'plus', |
475
|
|
|
'nasal': 'minus', |
476
|
|
|
'retroflex': 'minus', |
477
|
|
|
'lateral': 'minus', |
478
|
|
|
'aspirated': 'minus', |
479
|
|
|
}, |
480
|
|
|
'ʃ': { |
481
|
|
|
'place': 'palato-alveolar', |
482
|
|
|
'manner': 'fricative', |
483
|
|
|
'syllabic': 'minus', |
484
|
|
|
'voice': 'minus', |
485
|
|
|
'nasal': 'minus', |
486
|
|
|
'retroflex': 'minus', |
487
|
|
|
'lateral': 'minus', |
488
|
|
|
'aspirated': 'minus', |
489
|
|
|
}, |
490
|
|
|
'ʒ': { |
491
|
|
|
'place': 'palato-alveolar', |
492
|
|
|
'manner': 'fricative', |
493
|
|
|
'syllabic': 'minus', |
494
|
|
|
'voice': 'plus', |
495
|
|
|
'nasal': 'minus', |
496
|
|
|
'retroflex': 'minus', |
497
|
|
|
'lateral': 'minus', |
498
|
|
|
'aspirated': 'minus', |
499
|
|
|
}, |
500
|
|
|
'ʂ': { |
501
|
|
|
'place': 'retroflex', |
502
|
|
|
'manner': 'fricative', |
503
|
|
|
'syllabic': 'minus', |
504
|
|
|
'voice': 'minus', |
505
|
|
|
'nasal': 'minus', |
506
|
|
|
'retroflex': 'plus', |
507
|
|
|
'lateral': 'minus', |
508
|
|
|
'aspirated': 'minus', |
509
|
|
|
}, |
510
|
|
|
'ʐ': { |
511
|
|
|
'place': 'retroflex', |
512
|
|
|
'manner': 'fricative', |
513
|
|
|
'syllabic': 'minus', |
514
|
|
|
'voice': 'plus', |
515
|
|
|
'nasal': 'minus', |
516
|
|
|
'retroflex': 'plus', |
517
|
|
|
'lateral': 'minus', |
518
|
|
|
'aspirated': 'minus', |
519
|
|
|
}, |
520
|
|
|
'ç': { |
521
|
|
|
'place': 'palatal', |
522
|
|
|
'manner': 'fricative', |
523
|
|
|
'syllabic': 'minus', |
524
|
|
|
'voice': 'minus', |
525
|
|
|
'nasal': 'minus', |
526
|
|
|
'retroflex': 'minus', |
527
|
|
|
'lateral': 'minus', |
528
|
|
|
'aspirated': 'minus', |
529
|
|
|
}, |
530
|
|
|
'ʝ': { |
531
|
|
|
'place': 'palatal', |
532
|
|
|
'manner': 'fricative', |
533
|
|
|
'syllabic': 'minus', |
534
|
|
|
'voice': 'plus', |
535
|
|
|
'nasal': 'minus', |
536
|
|
|
'retroflex': 'minus', |
537
|
|
|
'lateral': 'minus', |
538
|
|
|
'aspirated': 'minus', |
539
|
|
|
}, |
540
|
|
|
'x': { |
541
|
|
|
'place': 'velar', |
542
|
|
|
'manner': 'fricative', |
543
|
|
|
'syllabic': 'minus', |
544
|
|
|
'voice': 'minus', |
545
|
|
|
'nasal': 'minus', |
546
|
|
|
'retroflex': 'minus', |
547
|
|
|
'lateral': 'minus', |
548
|
|
|
'aspirated': 'minus', |
549
|
|
|
}, |
550
|
|
|
'ɣ': { |
551
|
|
|
'place': 'velar', |
552
|
|
|
'manner': 'fricative', |
553
|
|
|
'syllabic': 'minus', |
554
|
|
|
'voice': 'plus', |
555
|
|
|
'nasal': 'minus', |
556
|
|
|
'retroflex': 'minus', |
557
|
|
|
'lateral': 'minus', |
558
|
|
|
'aspirated': 'minus', |
559
|
|
|
}, |
560
|
|
|
'χ': { |
561
|
|
|
'place': 'uvular', |
562
|
|
|
'manner': 'fricative', |
563
|
|
|
'syllabic': 'minus', |
564
|
|
|
'voice': 'minus', |
565
|
|
|
'nasal': 'minus', |
566
|
|
|
'retroflex': 'minus', |
567
|
|
|
'lateral': 'minus', |
568
|
|
|
'aspirated': 'minus', |
569
|
|
|
}, |
570
|
|
|
'ʁ': { |
571
|
|
|
'place': 'uvular', |
572
|
|
|
'manner': 'fricative', |
573
|
|
|
'syllabic': 'minus', |
574
|
|
|
'voice': 'plus', |
575
|
|
|
'nasal': 'minus', |
576
|
|
|
'retroflex': 'minus', |
577
|
|
|
'lateral': 'minus', |
578
|
|
|
'aspirated': 'minus', |
579
|
|
|
}, |
580
|
|
|
'ħ': { |
581
|
|
|
'place': 'pharyngeal', |
582
|
|
|
'manner': 'fricative', |
583
|
|
|
'syllabic': 'minus', |
584
|
|
|
'voice': 'minus', |
585
|
|
|
'nasal': 'minus', |
586
|
|
|
'retroflex': 'minus', |
587
|
|
|
'lateral': 'minus', |
588
|
|
|
'aspirated': 'minus', |
589
|
|
|
}, |
590
|
|
|
'ʕ': { |
591
|
|
|
'place': 'pharyngeal', |
592
|
|
|
'manner': 'fricative', |
593
|
|
|
'syllabic': 'minus', |
594
|
|
|
'voice': 'plus', |
595
|
|
|
'nasal': 'minus', |
596
|
|
|
'retroflex': 'minus', |
597
|
|
|
'lateral': 'minus', |
598
|
|
|
'aspirated': 'minus', |
599
|
|
|
}, |
600
|
|
|
'h': { |
601
|
|
|
'place': 'glottal', |
602
|
|
|
'manner': 'fricative', |
603
|
|
|
'syllabic': 'minus', |
604
|
|
|
'voice': 'minus', |
605
|
|
|
'nasal': 'minus', |
606
|
|
|
'retroflex': 'minus', |
607
|
|
|
'lateral': 'minus', |
608
|
|
|
'aspirated': 'minus', |
609
|
|
|
}, |
610
|
|
|
'ɦ': { |
611
|
|
|
'place': 'glottal', |
612
|
|
|
'manner': 'fricative', |
613
|
|
|
'syllabic': 'minus', |
614
|
|
|
'voice': 'plus', |
615
|
|
|
'nasal': 'minus', |
616
|
|
|
'retroflex': 'minus', |
617
|
|
|
'lateral': 'minus', |
618
|
|
|
'aspirated': 'minus', |
619
|
|
|
}, |
620
|
|
|
'ɬ': { |
621
|
|
|
'place': 'alveolar', |
622
|
|
|
'manner': 'fricative', |
623
|
|
|
'syllabic': 'minus', |
624
|
|
|
'voice': 'minus', |
625
|
|
|
'nasal': 'minus', |
626
|
|
|
'retroflex': 'minus', |
627
|
|
|
'lateral': 'plus', |
628
|
|
|
'aspirated': 'minus', |
629
|
|
|
}, |
630
|
|
|
'ɮ': { |
631
|
|
|
'place': 'alveolar', |
632
|
|
|
'manner': 'fricative', |
633
|
|
|
'syllabic': 'minus', |
634
|
|
|
'voice': 'plus', |
635
|
|
|
'nasal': 'minus', |
636
|
|
|
'retroflex': 'minus', |
637
|
|
|
'lateral': 'plus', |
638
|
|
|
'aspirated': 'minus', |
639
|
|
|
}, |
640
|
|
|
'ʋ': { |
641
|
|
|
'place': 'labiodental', |
642
|
|
|
'manner': 'approximant', |
643
|
|
|
'syllabic': 'minus', |
644
|
|
|
'voice': 'plus', |
645
|
|
|
'nasal': 'minus', |
646
|
|
|
'retroflex': 'minus', |
647
|
|
|
'lateral': 'minus', |
648
|
|
|
'aspirated': 'minus', |
649
|
|
|
}, |
650
|
|
|
'ɹ': { |
651
|
|
|
'place': 'alveolar', |
652
|
|
|
'manner': 'approximant', |
653
|
|
|
'syllabic': 'minus', |
654
|
|
|
'voice': 'plus', |
655
|
|
|
'nasal': 'minus', |
656
|
|
|
'retroflex': 'minus', |
657
|
|
|
'lateral': 'minus', |
658
|
|
|
'aspirated': 'minus', |
659
|
|
|
}, |
660
|
|
|
'ɻ': { |
661
|
|
|
'place': 'retroflex', |
662
|
|
|
'manner': 'approximant', |
663
|
|
|
'syllabic': 'minus', |
664
|
|
|
'voice': 'plus', |
665
|
|
|
'nasal': 'minus', |
666
|
|
|
'retroflex': 'plus', |
667
|
|
|
'lateral': 'minus', |
668
|
|
|
'aspirated': 'minus', |
669
|
|
|
}, |
670
|
|
|
'j': { |
671
|
|
|
'place': 'palatal', |
672
|
|
|
'manner': 'approximant', |
673
|
|
|
'syllabic': 'minus', |
674
|
|
|
'voice': 'plus', |
675
|
|
|
'nasal': 'minus', |
676
|
|
|
'retroflex': 'minus', |
677
|
|
|
'lateral': 'minus', |
678
|
|
|
'aspirated': 'minus', |
679
|
|
|
}, |
680
|
|
|
'ɰ': { |
681
|
|
|
'place': 'velar', |
682
|
|
|
'manner': 'approximant', |
683
|
|
|
'syllabic': 'minus', |
684
|
|
|
'voice': 'plus', |
685
|
|
|
'nasal': 'minus', |
686
|
|
|
'retroflex': 'minus', |
687
|
|
|
'lateral': 'minus', |
688
|
|
|
'aspirated': 'minus', |
689
|
|
|
}, |
690
|
|
|
'l': { |
691
|
|
|
'place': 'alveolar', |
692
|
|
|
'manner': 'approximant', |
693
|
|
|
'syllabic': 'minus', |
694
|
|
|
'voice': 'plus', |
695
|
|
|
'nasal': 'minus', |
696
|
|
|
'retroflex': 'minus', |
697
|
|
|
'lateral': 'plus', |
698
|
|
|
'aspirated': 'minus', |
699
|
|
|
}, |
700
|
|
|
'w': { |
701
|
|
|
'place': 'velar', |
702
|
|
|
'manner': 'approximant', |
703
|
|
|
'syllabic': 'minus', |
704
|
|
|
'voice': 'plus', |
705
|
|
|
'nasal': 'minus', |
706
|
|
|
'retroflex': 'minus', |
707
|
|
|
'lateral': 'minus', |
708
|
|
|
'aspirated': 'minus', |
709
|
|
|
'double': 'bilabial', |
710
|
|
|
}, |
711
|
|
|
'i': { |
712
|
|
|
'manner': 'high vowel', |
713
|
|
|
'syllabic': 'plus', |
714
|
|
|
'voice': 'plus', |
715
|
|
|
'nasal': 'minus', |
716
|
|
|
'retroflex': 'minus', |
717
|
|
|
'lateral': 'minus', |
718
|
|
|
'high': 'high', |
719
|
|
|
'back': 'front', |
720
|
|
|
'round': 'minus', |
721
|
|
|
'long': 'minus', |
722
|
|
|
'aspirated': 'minus', |
723
|
|
|
}, |
724
|
|
|
'y': { |
725
|
|
|
'manner': 'high vowel', |
726
|
|
|
'syllabic': 'plus', |
727
|
|
|
'voice': 'plus', |
728
|
|
|
'nasal': 'minus', |
729
|
|
|
'retroflex': 'minus', |
730
|
|
|
'lateral': 'minus', |
731
|
|
|
'high': 'high', |
732
|
|
|
'back': 'front', |
733
|
|
|
'round': 'plus', |
734
|
|
|
'long': 'minus', |
735
|
|
|
'aspirated': 'minus', |
736
|
|
|
}, |
737
|
|
|
'e': { |
738
|
|
|
'manner': 'mid vowel', |
739
|
|
|
'syllabic': 'plus', |
740
|
|
|
'voice': 'plus', |
741
|
|
|
'nasal': 'minus', |
742
|
|
|
'retroflex': 'minus', |
743
|
|
|
'lateral': 'minus', |
744
|
|
|
'high': 'mid', |
745
|
|
|
'back': 'front', |
746
|
|
|
'round': 'minus', |
747
|
|
|
'long': 'minus', |
748
|
|
|
'aspirated': 'minus', |
749
|
|
|
}, |
750
|
|
|
'ø': { |
751
|
|
|
'manner': 'mid vowel', |
752
|
|
|
'syllabic': 'plus', |
753
|
|
|
'voice': 'plus', |
754
|
|
|
'nasal': 'minus', |
755
|
|
|
'retroflex': 'minus', |
756
|
|
|
'lateral': 'minus', |
757
|
|
|
'high': 'mid', |
758
|
|
|
'back': 'front', |
759
|
|
|
'round': 'plus', |
760
|
|
|
'long': 'minus', |
761
|
|
|
'aspirated': 'minus', |
762
|
|
|
}, |
763
|
|
|
'ɛ': { |
764
|
|
|
'manner': 'mid vowel', |
765
|
|
|
'syllabic': 'plus', |
766
|
|
|
'voice': 'plus', |
767
|
|
|
'nasal': 'minus', |
768
|
|
|
'retroflex': 'minus', |
769
|
|
|
'lateral': 'minus', |
770
|
|
|
'high': 'mid', |
771
|
|
|
'back': 'front', |
772
|
|
|
'round': 'minus', |
773
|
|
|
'long': 'minus', |
774
|
|
|
'aspirated': 'minus', |
775
|
|
|
}, |
776
|
|
|
'œ': { |
777
|
|
|
'manner': 'mid vowel', |
778
|
|
|
'syllabic': 'plus', |
779
|
|
|
'voice': 'plus', |
780
|
|
|
'nasal': 'minus', |
781
|
|
|
'retroflex': 'minus', |
782
|
|
|
'lateral': 'minus', |
783
|
|
|
'high': 'mid', |
784
|
|
|
'back': 'front', |
785
|
|
|
'round': 'plus', |
786
|
|
|
'long': 'minus', |
787
|
|
|
'aspirated': 'minus', |
788
|
|
|
}, |
789
|
|
|
'æ': { |
790
|
|
|
'manner': 'low vowel', |
791
|
|
|
'syllabic': 'plus', |
792
|
|
|
'voice': 'plus', |
793
|
|
|
'nasal': 'minus', |
794
|
|
|
'retroflex': 'minus', |
795
|
|
|
'lateral': 'minus', |
796
|
|
|
'high': 'low', |
797
|
|
|
'back': 'front', |
798
|
|
|
'round': 'minus', |
799
|
|
|
'long': 'minus', |
800
|
|
|
'aspirated': 'minus', |
801
|
|
|
}, |
802
|
|
|
'a': { |
803
|
|
|
'manner': 'low vowel', |
804
|
|
|
'syllabic': 'plus', |
805
|
|
|
'voice': 'plus', |
806
|
|
|
'nasal': 'minus', |
807
|
|
|
'retroflex': 'minus', |
808
|
|
|
'lateral': 'minus', |
809
|
|
|
'high': 'low', |
810
|
|
|
'back': 'front', |
811
|
|
|
'round': 'minus', |
812
|
|
|
'long': 'minus', |
813
|
|
|
'aspirated': 'minus', |
814
|
|
|
}, |
815
|
|
|
'ɨ': { |
816
|
|
|
'manner': 'high vowel', |
817
|
|
|
'syllabic': 'plus', |
818
|
|
|
'voice': 'plus', |
819
|
|
|
'nasal': 'minus', |
820
|
|
|
'retroflex': 'minus', |
821
|
|
|
'lateral': 'minus', |
822
|
|
|
'high': 'high', |
823
|
|
|
'back': 'central', |
824
|
|
|
'round': 'minus', |
825
|
|
|
'long': 'minus', |
826
|
|
|
'aspirated': 'minus', |
827
|
|
|
}, |
828
|
|
|
'ʉ': { |
829
|
|
|
'manner': 'high vowel', |
830
|
|
|
'syllabic': 'plus', |
831
|
|
|
'voice': 'plus', |
832
|
|
|
'nasal': 'minus', |
833
|
|
|
'retroflex': 'minus', |
834
|
|
|
'lateral': 'minus', |
835
|
|
|
'high': 'high', |
836
|
|
|
'back': 'central', |
837
|
|
|
'round': 'plus', |
838
|
|
|
'long': 'minus', |
839
|
|
|
'aspirated': 'minus', |
840
|
|
|
}, |
841
|
|
|
'ə': { |
842
|
|
|
'manner': 'mid vowel', |
843
|
|
|
'syllabic': 'plus', |
844
|
|
|
'voice': 'plus', |
845
|
|
|
'nasal': 'minus', |
846
|
|
|
'retroflex': 'minus', |
847
|
|
|
'lateral': 'minus', |
848
|
|
|
'high': 'mid', |
849
|
|
|
'back': 'central', |
850
|
|
|
'round': 'minus', |
851
|
|
|
'long': 'minus', |
852
|
|
|
'aspirated': 'minus', |
853
|
|
|
}, |
854
|
|
|
'u': { |
855
|
|
|
'manner': 'high vowel', |
856
|
|
|
'syllabic': 'plus', |
857
|
|
|
'voice': 'plus', |
858
|
|
|
'nasal': 'minus', |
859
|
|
|
'retroflex': 'minus', |
860
|
|
|
'lateral': 'minus', |
861
|
|
|
'high': 'high', |
862
|
|
|
'back': 'back', |
863
|
|
|
'round': 'plus', |
864
|
|
|
'long': 'minus', |
865
|
|
|
'aspirated': 'minus', |
866
|
|
|
}, |
867
|
|
|
'o': { |
868
|
|
|
'manner': 'mid vowel', |
869
|
|
|
'syllabic': 'plus', |
870
|
|
|
'voice': 'plus', |
871
|
|
|
'nasal': 'minus', |
872
|
|
|
'retroflex': 'minus', |
873
|
|
|
'lateral': 'minus', |
874
|
|
|
'high': 'mid', |
875
|
|
|
'back': 'back', |
876
|
|
|
'round': 'plus', |
877
|
|
|
'long': 'minus', |
878
|
|
|
'aspirated': 'minus', |
879
|
|
|
}, |
880
|
|
|
'ɔ': { |
881
|
|
|
'manner': 'mid vowel', |
882
|
|
|
'syllabic': 'plus', |
883
|
|
|
'voice': 'plus', |
884
|
|
|
'nasal': 'minus', |
885
|
|
|
'retroflex': 'minus', |
886
|
|
|
'lateral': 'minus', |
887
|
|
|
'high': 'mid', |
888
|
|
|
'back': 'back', |
889
|
|
|
'round': 'plus', |
890
|
|
|
'long': 'minus', |
891
|
|
|
'aspirated': 'minus', |
892
|
|
|
}, |
893
|
|
|
'ɒ': { |
894
|
|
|
'manner': 'low vowel', |
895
|
|
|
'syllabic': 'plus', |
896
|
|
|
'voice': 'plus', |
897
|
|
|
'nasal': 'minus', |
898
|
|
|
'retroflex': 'minus', |
899
|
|
|
'lateral': 'minus', |
900
|
|
|
'high': 'low', |
901
|
|
|
'back': 'back', |
902
|
|
|
'round': 'minus', |
903
|
|
|
'long': 'minus', |
904
|
|
|
'aspirated': 'minus', |
905
|
|
|
}, |
906
|
|
|
'ː': {'long': 'plus', 'supplemental': True}, |
907
|
|
|
'ʰ': {'aspirated': 'plus', 'supplemental': True}, |
908
|
|
|
} |
909
|
|
|
|
910
|
1 |
|
phones_kondrak = { |
911
|
|
|
'a': { |
912
|
|
|
'place': 'velar', |
913
|
|
|
'manner': 'low vowel', |
914
|
|
|
'syllabic': 'plus', |
915
|
|
|
'voice': 'plus', |
916
|
|
|
'nasal': 'minus', |
917
|
|
|
'retroflex': 'minus', |
918
|
|
|
'lateral': 'minus', |
919
|
|
|
'high': 'low', |
920
|
|
|
'back': 'central', |
921
|
|
|
'round': 'minus', |
922
|
|
|
}, |
923
|
|
|
'b': { |
924
|
|
|
'place': 'bilabial', |
925
|
|
|
'manner': 'stop', |
926
|
|
|
'syllabic': 'minus', |
927
|
|
|
'voice': 'plus', |
928
|
|
|
'nasal': 'minus', |
929
|
|
|
'retroflex': 'minus', |
930
|
|
|
'lateral': 'minus', |
931
|
|
|
}, |
932
|
|
|
'c': { |
933
|
|
|
'place': 'alveolar', |
934
|
|
|
'manner': 'affricate', |
935
|
|
|
'syllabic': 'minus', |
936
|
|
|
'voice': 'minus', |
937
|
|
|
'nasal': 'minus', |
938
|
|
|
'retroflex': 'minus', |
939
|
|
|
'lateral': 'minus', |
940
|
|
|
}, |
941
|
|
|
'd': { |
942
|
|
|
'place': 'alveolar', |
943
|
|
|
'manner': 'stop', |
944
|
|
|
'syllabic': 'minus', |
945
|
|
|
'voice': 'plus', |
946
|
|
|
'nasal': 'minus', |
947
|
|
|
'retroflex': 'minus', |
948
|
|
|
'lateral': 'minus', |
949
|
|
|
}, |
950
|
|
|
'e': { |
951
|
|
|
'place': 'palatal', |
952
|
|
|
'manner': 'mid vowel', |
953
|
|
|
'syllabic': 'plus', |
954
|
|
|
'voice': 'plus', |
955
|
|
|
'nasal': 'minus', |
956
|
|
|
'retroflex': 'minus', |
957
|
|
|
'lateral': 'minus', |
958
|
|
|
'high': 'mid', |
959
|
|
|
'back': 'front', |
960
|
|
|
'round': 'minus', |
961
|
|
|
}, |
962
|
|
|
'f': { |
963
|
|
|
'place': 'labiodental', |
964
|
|
|
'manner': 'fricative', |
965
|
|
|
'syllabic': 'minus', |
966
|
|
|
'voice': 'minus', |
967
|
|
|
'nasal': 'minus', |
968
|
|
|
'retroflex': 'minus', |
969
|
|
|
'lateral': 'minus', |
970
|
|
|
}, |
971
|
|
|
'g': { |
972
|
|
|
'place': 'velar', |
973
|
|
|
'manner': 'stop', |
974
|
|
|
'syllabic': 'minus', |
975
|
|
|
'voice': 'plus', |
976
|
|
|
'nasal': 'minus', |
977
|
|
|
'retroflex': 'minus', |
978
|
|
|
'lateral': 'minus', |
979
|
|
|
}, |
980
|
|
|
'h': { |
981
|
|
|
'place': 'glottal', |
982
|
|
|
'manner': 'fricative', |
983
|
|
|
'syllabic': 'minus', |
984
|
|
|
'voice': 'minus', |
985
|
|
|
'nasal': 'minus', |
986
|
|
|
'retroflex': 'minus', |
987
|
|
|
'lateral': 'minus', |
988
|
|
|
}, |
989
|
|
|
'i': { |
990
|
|
|
'place': 'palatal', |
991
|
|
|
'manner': 'high vowel', |
992
|
|
|
'syllabic': 'plus', |
993
|
|
|
'voice': 'plus', |
994
|
|
|
'nasal': 'minus', |
995
|
|
|
'retroflex': 'minus', |
996
|
|
|
'lateral': 'minus', |
997
|
|
|
'high': 'high', |
998
|
|
|
'back': 'front', |
999
|
|
|
'round': 'plus', |
1000
|
|
|
}, |
1001
|
|
|
'j': { |
1002
|
|
|
'place': 'alveolar', |
1003
|
|
|
'manner': 'affricate', |
1004
|
|
|
'syllabic': 'minus', |
1005
|
|
|
'voice': 'plus', |
1006
|
|
|
'nasal': 'minus', |
1007
|
|
|
'retroflex': 'minus', |
1008
|
|
|
'lateral': 'minus', |
1009
|
|
|
}, |
1010
|
|
|
'k': { |
1011
|
|
|
'place': 'velar', |
1012
|
|
|
'manner': 'stop', |
1013
|
|
|
'syllabic': 'minus', |
1014
|
|
|
'voice': 'minus', |
1015
|
|
|
'nasal': 'minus', |
1016
|
|
|
'retroflex': 'minus', |
1017
|
|
|
'lateral': 'minus', |
1018
|
|
|
}, |
1019
|
|
|
'l': { |
1020
|
|
|
'place': 'alveolar', |
1021
|
|
|
'manner': 'approximant', |
1022
|
|
|
'syllabic': 'minus', |
1023
|
|
|
'voice': 'plus', |
1024
|
|
|
'nasal': 'minus', |
1025
|
|
|
'retroflex': 'minus', |
1026
|
|
|
'lateral': 'plus', |
1027
|
|
|
}, |
1028
|
|
|
'm': { |
1029
|
|
|
'place': 'bilabial', |
1030
|
|
|
'manner': 'stop', |
1031
|
|
|
'syllabic': 'minus', |
1032
|
|
|
'voice': 'plus', |
1033
|
|
|
'nasal': 'plus', |
1034
|
|
|
'retroflex': 'minus', |
1035
|
|
|
'lateral': 'minus', |
1036
|
|
|
}, |
1037
|
|
|
'n': { |
1038
|
|
|
'place': 'alveolar', |
1039
|
|
|
'manner': 'stop', |
1040
|
|
|
'syllabic': 'minus', |
1041
|
|
|
'voice': 'plus', |
1042
|
|
|
'nasal': 'plus', |
1043
|
|
|
'retroflex': 'minus', |
1044
|
|
|
'lateral': 'minus', |
1045
|
|
|
}, |
1046
|
|
|
'o': { |
1047
|
|
|
'place': 'velar', |
1048
|
|
|
'manner': 'mid vowel', |
1049
|
|
|
'syllabic': 'plus', |
1050
|
|
|
'voice': 'plus', |
1051
|
|
|
'nasal': 'minus', |
1052
|
|
|
'retroflex': 'minus', |
1053
|
|
|
'lateral': 'minus', |
1054
|
|
|
'high': 'mid', |
1055
|
|
|
'back': 'back', |
1056
|
|
|
'round': 'plus', |
1057
|
|
|
}, |
1058
|
|
|
'p': { |
1059
|
|
|
'place': 'bilabial', |
1060
|
|
|
'manner': 'stop', |
1061
|
|
|
'syllabic': 'minus', |
1062
|
|
|
'voice': 'minus', |
1063
|
|
|
'nasal': 'minus', |
1064
|
|
|
'retroflex': 'minus', |
1065
|
|
|
'lateral': 'minus', |
1066
|
|
|
}, |
1067
|
|
|
'q': { |
1068
|
|
|
'place': 'glottal', |
1069
|
|
|
'manner': 'stop', |
1070
|
|
|
'syllabic': 'minus', |
1071
|
|
|
'voice': 'minus', |
1072
|
|
|
'nasal': 'minus', |
1073
|
|
|
'retroflex': 'minus', |
1074
|
|
|
'lateral': 'minus', |
1075
|
|
|
}, |
1076
|
|
|
'r': { |
1077
|
|
|
'place': 'retroflex', |
1078
|
|
|
'manner': 'approximant', |
1079
|
|
|
'syllabic': 'minus', |
1080
|
|
|
'voice': 'plus', |
1081
|
|
|
'nasal': 'minus', |
1082
|
|
|
'retroflex': 'plus', |
1083
|
|
|
'lateral': 'minus', |
1084
|
|
|
}, |
1085
|
|
|
's': { |
1086
|
|
|
'place': 'alveolar', |
1087
|
|
|
'manner': 'fricative', |
1088
|
|
|
'syllabic': 'minus', |
1089
|
|
|
'voice': 'minus', |
1090
|
|
|
'nasal': 'minus', |
1091
|
|
|
'retroflex': 'minus', |
1092
|
|
|
'lateral': 'minus', |
1093
|
|
|
}, |
1094
|
|
|
't': { |
1095
|
|
|
'place': 'alveolar', |
1096
|
|
|
'manner': 'stop', |
1097
|
|
|
'syllabic': 'minus', |
1098
|
|
|
'voice': 'minus', |
1099
|
|
|
'nasal': 'minus', |
1100
|
|
|
'retroflex': 'minus', |
1101
|
|
|
'lateral': 'minus', |
1102
|
|
|
}, |
1103
|
|
|
'u': { |
1104
|
|
|
'place': 'velar', |
1105
|
|
|
'manner': 'high vowel', |
1106
|
|
|
'syllabic': 'plus', |
1107
|
|
|
'voice': 'plus', |
1108
|
|
|
'nasal': 'minus', |
1109
|
|
|
'retroflex': 'minus', |
1110
|
|
|
'lateral': 'minus', |
1111
|
|
|
'high': 'high', |
1112
|
|
|
'back': 'back', |
1113
|
|
|
'round': 'plus', |
1114
|
|
|
}, |
1115
|
|
|
'v': { |
1116
|
|
|
'place': 'labiodental', |
1117
|
|
|
'manner': 'fricative', |
1118
|
|
|
'syllabic': 'plus', |
1119
|
|
|
'voice': 'plus', |
1120
|
|
|
'nasal': 'minus', |
1121
|
|
|
'retroflex': 'minus', |
1122
|
|
|
'lateral': 'minus', |
1123
|
|
|
}, |
1124
|
|
|
'w': { |
1125
|
|
|
'place': 'velar', |
1126
|
|
|
'manner': 'high vowel', |
1127
|
|
|
'syllabic': 'plus', |
1128
|
|
|
'voice': 'plus', |
1129
|
|
|
'nasal': 'minus', |
1130
|
|
|
'retroflex': 'minus', |
1131
|
|
|
'lateral': 'minus', |
1132
|
|
|
'high': 'high', |
1133
|
|
|
'back': 'back', |
1134
|
|
|
'round': 'plus', |
1135
|
|
|
'double': 'bilabial', |
1136
|
|
|
}, |
1137
|
|
|
'x': { |
1138
|
|
|
'place': 'velar', |
1139
|
|
|
'manner': 'fricative', |
1140
|
|
|
'syllabic': 'minus', |
1141
|
|
|
'voice': 'minus', |
1142
|
|
|
'nasal': 'minus', |
1143
|
|
|
'retroflex': 'minus', |
1144
|
|
|
'lateral': 'minus', |
1145
|
|
|
}, |
1146
|
|
|
'y': { |
1147
|
|
|
'place': 'velar', |
1148
|
|
|
'manner': 'high vowel', |
1149
|
|
|
'syllabic': 'plus', |
1150
|
|
|
'voice': 'plus', |
1151
|
|
|
'nasal': 'minus', |
1152
|
|
|
'retroflex': 'minus', |
1153
|
|
|
'lateral': 'minus', |
1154
|
|
|
'high': 'high', |
1155
|
|
|
'back': 'front', |
1156
|
|
|
'round': 'minus', |
1157
|
|
|
}, |
1158
|
|
|
'z': { |
1159
|
|
|
'place': 'alveolar', |
1160
|
|
|
'manner': 'fricative', |
1161
|
|
|
'syllabic': 'minus', |
1162
|
|
|
'voice': 'plus', |
1163
|
|
|
'nasal': 'minus', |
1164
|
|
|
'retroflex': 'minus', |
1165
|
|
|
'lateral': 'minus', |
1166
|
|
|
}, |
1167
|
|
|
'A': {'aspirated': 'plus', 'supplemental': True}, |
1168
|
|
|
'B': {'back': 'back', 'supplemental': True}, |
1169
|
|
|
'C': {'back': 'central', 'supplemental': True}, |
1170
|
|
|
'D': {'place': 'dental', 'supplemental': True}, |
1171
|
|
|
'F': {'back': 'front', 'supplemental': True}, |
1172
|
|
|
'H': {'long': 'plus', 'supplemental': True}, |
1173
|
|
|
'N': {'nasal': 'plus', 'supplemental': True}, |
1174
|
|
|
'P': {'place': 'palatal', 'supplemental': True}, |
1175
|
|
|
'R': {'round': 'plus', 'supplemental': True}, |
1176
|
|
|
'S': {'manner': 'fricative', 'supplemental': True}, |
1177
|
|
|
'V': {'place': 'palato-alveolar', 'supplemental': True}, |
1178
|
|
|
} |
1179
|
|
|
|
1180
|
1 |
|
def __init__( |
1181
|
|
|
self, |
1182
|
|
|
epsilon=0, |
1183
|
|
|
c_skip=-10, |
1184
|
|
|
c_sub=35, |
1185
|
|
|
c_exp=45, |
1186
|
|
|
c_vwl=10, |
1187
|
|
|
mode='local', |
1188
|
|
|
phones='aline', |
1189
|
|
|
normalizer=max, |
1190
|
|
|
**kwargs |
1191
|
|
|
): |
1192
|
|
|
"""Initialize ALINE instance. |
1193
|
|
|
|
1194
|
|
|
Parameters |
1195
|
|
|
---------- |
1196
|
|
|
epsilon : float |
1197
|
|
|
The portion (out of 1.0) of the maximum ALINE score, above which |
1198
|
|
|
alignments are returned. If set to 0, only the alignments matching |
1199
|
|
|
the maximum alignment score are returned. If set to 1, all |
1200
|
|
|
alignments scoring 0 or higher are returned. |
1201
|
|
|
c_skip : int |
1202
|
|
|
The cost of an insertion or deletion |
1203
|
|
|
c_sub : int |
1204
|
|
|
The cost of a substitution |
1205
|
|
|
c_exp : int |
1206
|
|
|
The cost of an expansion or contraction |
1207
|
|
|
c_vwl : int |
1208
|
|
|
The additional cost of a vowel substitution, expansion, or |
1209
|
|
|
contraction |
1210
|
|
|
mode : str |
1211
|
|
|
Alignment mode, which can be ``local`` (default), ``global``, |
1212
|
|
|
``half-local``, or ``semi-global`` |
1213
|
|
|
phones : str |
1214
|
|
|
Phonetic symbol set, which can be: |
1215
|
|
|
- ``aline`` selects Kondrak's original symbols set |
1216
|
|
|
- ``ipa`` selects IPA symbols |
1217
|
|
|
normalizer : function |
1218
|
|
|
A function that takes an list and computes a normalization term |
1219
|
|
|
by which the edit distance is divided (max by default). For the |
1220
|
|
|
normalization proposed by Downey, et al. (2008), set this to: |
1221
|
|
|
``lambda x: sum(x)/len(x)`` |
1222
|
|
|
**kwargs |
1223
|
|
|
Arbitrary keyword arguments |
1224
|
|
|
|
1225
|
|
|
|
1226
|
|
|
.. versionadded:: 0.4.0 |
1227
|
|
|
|
1228
|
|
|
""" |
1229
|
1 |
|
super(ALINE, self).__init__(**kwargs) |
1230
|
1 |
|
self._epsilon = epsilon |
1231
|
1 |
|
self._c_skip = c_skip |
1232
|
1 |
|
self._c_sub = c_sub |
1233
|
1 |
|
self._c_exp = c_exp |
1234
|
1 |
|
self._c_vwl = c_vwl |
1235
|
1 |
|
self._mode = mode |
1236
|
1 |
|
if self._mode not in {'local', 'global', 'half-local', 'semi-global'}: |
1237
|
1 |
|
self._mode = 'local' |
1238
|
1 |
|
if phones == 'ipa': |
1239
|
1 |
|
self._phones = self.phones_ipa |
1240
|
|
|
else: |
1241
|
1 |
|
self._phones = self.phones_kondrak |
1242
|
1 |
|
self._normalizer = normalizer |
1243
|
|
|
|
1244
|
1 |
|
def alignment(self, src, tar): |
1245
|
|
|
"""Return the top ALINE alignment of two strings. |
1246
|
|
|
|
1247
|
|
|
The `top` ALINE alignment is the first alignment with the best score. |
1248
|
|
|
The purpose of this function is to have a single tuple as a return |
1249
|
|
|
value. |
1250
|
|
|
|
1251
|
|
|
Parameters |
1252
|
|
|
---------- |
1253
|
|
|
src : str |
1254
|
|
|
Source string for comparison |
1255
|
|
|
tar : str |
1256
|
|
|
Target string for comparison |
1257
|
|
|
|
1258
|
|
|
Returns |
1259
|
|
|
------- |
1260
|
|
|
tuple(float, str, str) |
1261
|
|
|
ALINE alignment and its score |
1262
|
|
|
|
1263
|
|
|
Examples |
1264
|
|
|
-------- |
1265
|
|
|
>>> cmp = ALINE() |
1266
|
|
|
>>> cmp.alignment('cat', 'hat') |
1267
|
|
|
(50.0, 'c ‖ a t ‖', 'h ‖ a t ‖') |
1268
|
|
|
>>> cmp.alignment('niall', 'neil') |
1269
|
|
|
(90.0, '‖ n i a ll ‖', '‖ n e i l ‖') |
1270
|
|
|
>>> cmp.alignment('aluminum', 'catalan') |
1271
|
|
|
(81.5, '‖ a l u m ‖ inum', 'cat ‖ a l a n ‖') |
1272
|
|
|
>>> cmp.alignment('atcg', 'tagc') |
1273
|
|
|
(65.0, '‖ a t c ‖ g', 't ‖ a g c ‖') |
1274
|
|
|
|
1275
|
|
|
|
1276
|
|
|
.. versionadded:: 0.4.1 |
1277
|
|
|
|
1278
|
|
|
""" |
1279
|
1 |
|
return self.alignments(src, tar)[0] |
1280
|
|
|
|
1281
|
1 |
|
def alignments(self, src, tar, score_only=False): |
1282
|
|
|
"""Return the ALINE alignments of two strings. |
1283
|
|
|
|
1284
|
|
|
Parameters |
1285
|
|
|
---------- |
1286
|
|
|
src : str |
1287
|
|
|
Source string for comparison |
1288
|
|
|
tar : str |
1289
|
|
|
Target string for comparison |
1290
|
|
|
score_only : bool |
1291
|
|
|
Return the score only, not the alignments |
1292
|
|
|
|
1293
|
|
|
Returns |
1294
|
|
|
------- |
1295
|
|
|
list(tuple(float, str, str) or float |
1296
|
|
|
ALINE alignments and their scores or the top score |
1297
|
|
|
|
1298
|
|
|
Examples |
1299
|
|
|
-------- |
1300
|
|
|
>>> cmp = ALINE() |
1301
|
|
|
>>> cmp.alignments('cat', 'hat') |
1302
|
|
|
[(50.0, 'c ‖ a t ‖', 'h ‖ a t ‖')] |
1303
|
|
|
>>> cmp.alignments('niall', 'neil') |
1304
|
|
|
[(90.0, '‖ n i a ll ‖', '‖ n e i l ‖')] |
1305
|
|
|
>>> cmp.alignments('aluminum', 'catalan') |
1306
|
|
|
[(81.5, '‖ a l u m ‖ inum', 'cat ‖ a l a n ‖')] |
1307
|
|
|
>>> cmp.alignments('atcg', 'tagc') |
1308
|
|
|
[(65.0, '‖ a t c ‖ g', 't ‖ a g c ‖'), (65.0, 'a ‖ tc - g ‖', |
1309
|
|
|
'‖ t a g ‖ c')] |
1310
|
|
|
|
1311
|
|
|
|
1312
|
|
|
.. versionadded:: 0.4.0 |
1313
|
|
|
.. versionchanged:: 0.4.1 |
1314
|
|
|
Renamed from .alignment to .alignments |
1315
|
|
|
|
1316
|
|
|
""" |
1317
|
|
|
|
1318
|
1 |
|
def _sig_skip(seg): |
1319
|
1 |
|
return self._c_skip |
1320
|
|
|
|
1321
|
1 |
|
def _sig_sub(seg1, seg2): |
1322
|
1 |
|
return ( |
1323
|
|
|
self._c_sub |
1324
|
|
|
- _delta(seg1, seg2) |
1325
|
|
|
- _sig_vwl(seg1) |
1326
|
|
|
- _sig_vwl(seg2) |
1327
|
|
|
) |
1328
|
|
|
|
1329
|
1 |
|
def _sig_exp(seg1, seg2a, seg2b): |
1330
|
1 |
|
return ( |
1331
|
|
|
self._c_exp |
1332
|
|
|
- _delta(seg1, seg2a) |
1333
|
|
|
- _delta(seg1, seg2b) |
1334
|
|
|
- _sig_vwl(seg1) |
1335
|
|
|
- max(_sig_vwl(seg2a), _sig_vwl(seg2b)) |
1336
|
|
|
) |
1337
|
|
|
|
1338
|
1 |
|
def _sig_vwl(seg): |
1339
|
1 |
|
return ( |
1340
|
|
|
0.0 |
1341
|
|
|
if seg['manner'] > self.feature_weights['high vowel'] |
1342
|
|
|
else self._c_vwl |
1343
|
|
|
) |
1344
|
|
|
|
1345
|
1 |
|
def _delta(seg1, seg2): |
1346
|
1 |
|
features = ( |
1347
|
|
|
self.c_features |
1348
|
|
|
if max(seg1['manner'], seg2['manner']) |
1349
|
|
|
> self.feature_weights['high vowel'] |
1350
|
|
|
else self.v_features |
1351
|
|
|
) |
1352
|
1 |
|
diff = 0.0 |
1353
|
1 |
|
for f in features: |
1354
|
1 |
|
diff += ( |
1355
|
|
|
abs(seg1.get(f, 0.0) - seg2.get(f, 0.0)) * self.salience[f] |
1356
|
|
|
) |
1357
|
1 |
|
return diff |
1358
|
|
|
|
1359
|
1 |
|
def _retrieve(i, j, score, out): |
1360
|
1 |
|
def _record(score, out): |
1361
|
1 |
|
out.append(('‖', '‖')) |
1362
|
1 |
|
for i1 in range(i - 1, -1, -1): |
1363
|
1 |
|
out.append((src[i1]['segment'], '')) |
1364
|
1 |
|
for j1 in range(j - 1, -1, -1): |
1365
|
1 |
|
out.append(('', tar[j1]['segment'])) |
1366
|
1 |
|
if self._mode == 'global': |
1367
|
1 |
|
score += (i + j) * _sig_skip('') |
1368
|
|
|
|
1369
|
1 |
|
out = out[::-1] |
1370
|
|
|
|
1371
|
1 |
|
src_alignment = [] |
1372
|
1 |
|
tar_alignment = [] |
1373
|
|
|
|
1374
|
1 |
|
out.append(('‖', '‖')) |
1375
|
1 |
|
part = 0 |
1376
|
1 |
|
s_segment = '' |
1377
|
1 |
|
t_segment = '' |
1378
|
1 |
|
for ss, ts in out: |
1379
|
1 |
|
if ss == '‖': |
1380
|
1 |
|
if part % 2 == 0: |
1381
|
1 |
|
src_alignment.append(s_segment) |
1382
|
1 |
|
tar_alignment.append(t_segment) |
1383
|
1 |
|
s_segment = [] |
1384
|
1 |
|
t_segment = [] |
1385
|
|
|
else: |
1386
|
1 |
|
src_alignment.append(' '.join(s_segment)) |
1387
|
1 |
|
tar_alignment.append(' '.join(t_segment)) |
1388
|
1 |
|
s_segment = '' |
1389
|
1 |
|
t_segment = '' |
1390
|
1 |
|
part += 1 |
1391
|
|
|
else: |
1392
|
1 |
|
if part % 2 == 0: |
1393
|
1 |
|
s_segment += ss |
1394
|
1 |
|
t_segment += ts |
1395
|
|
|
else: |
1396
|
1 |
|
s_segment.append(ss + ' ' * (len(ts) - len(ss))) |
1397
|
1 |
|
t_segment.append(ts + ' ' * (len(ss) - len(ts))) |
1398
|
|
|
|
1399
|
1 |
|
src_alignment = ' ‖ '.join(src_alignment).strip() |
1400
|
1 |
|
tar_alignment = ' ‖ '.join(tar_alignment).strip() |
1401
|
|
|
|
1402
|
1 |
|
alignments.append((score, src_alignment, tar_alignment)) |
1403
|
1 |
|
return |
1404
|
|
|
|
1405
|
1 |
|
if s_mat[i, j] == 0: |
1406
|
1 |
|
_record(score, out) |
1407
|
1 |
|
return |
1408
|
|
|
else: |
1409
|
1 |
|
if ( |
1410
|
|
|
i > 0 |
1411
|
|
|
and j > 0 |
1412
|
|
|
and s_mat[i - 1, j - 1] |
1413
|
|
|
+ _sig_sub(src[i - 1], tar[j - 1]) |
1414
|
|
|
+ score |
1415
|
|
|
>= threshold |
1416
|
|
|
): |
1417
|
1 |
|
loc_out = deepcopy(out) |
1418
|
1 |
|
loc_out.append( |
1419
|
|
|
(src[i - 1]['segment'], tar[j - 1]['segment']) |
1420
|
|
|
) |
1421
|
1 |
|
_retrieve( |
1422
|
|
|
i - 1, |
1423
|
|
|
j - 1, |
1424
|
|
|
score + _sig_sub(src[i - 1], tar[j - 1]), |
1425
|
|
|
loc_out, |
1426
|
|
|
) |
1427
|
1 |
|
loc_out.pop() |
1428
|
|
|
|
1429
|
1 |
|
if ( |
1430
|
|
|
j > 0 |
1431
|
|
|
and s_mat[i, j - 1] + _sig_skip(tar[j - 1]) + score |
1432
|
|
|
>= threshold |
1433
|
|
|
): |
1434
|
1 |
|
loc_out = deepcopy(out) |
1435
|
1 |
|
loc_out.append(('-', tar[j - 1]['segment'])) |
1436
|
1 |
|
_retrieve(i, j - 1, score + _sig_skip(tar[j - 1]), loc_out) |
1437
|
1 |
|
loc_out.pop() |
1438
|
|
|
|
1439
|
1 |
View Code Duplication |
if ( |
|
|
|
|
1440
|
|
|
i > 0 |
1441
|
|
|
and j > 1 |
1442
|
|
|
and s_mat[i - 1, j - 2] |
1443
|
|
|
+ _sig_exp(src[i - 1], tar[j - 2], tar[j - 1]) |
1444
|
|
|
+ score |
1445
|
|
|
>= threshold |
1446
|
|
|
): |
1447
|
1 |
|
loc_out = deepcopy(out) |
1448
|
1 |
|
loc_out.append( |
1449
|
|
|
( |
1450
|
|
|
src[i - 1]['segment'], |
1451
|
|
|
tar[j - 2]['segment'] + tar[j - 1]['segment'], |
1452
|
|
|
) |
1453
|
|
|
) |
1454
|
1 |
|
_retrieve( |
1455
|
|
|
i - 1, |
1456
|
|
|
j - 2, |
1457
|
|
|
score + _sig_exp(src[i - 1], tar[j - 2], tar[j - 1]), |
1458
|
|
|
loc_out, |
1459
|
|
|
) |
1460
|
1 |
|
loc_out.pop() |
1461
|
|
|
|
1462
|
1 |
|
if ( |
1463
|
|
|
i > 0 |
1464
|
|
|
and s_mat[i - 1, j] + _sig_skip(src[i - 1]) + score |
1465
|
|
|
>= threshold |
1466
|
|
|
): |
1467
|
1 |
|
loc_out = deepcopy(out) |
1468
|
1 |
|
loc_out.append((src[i - 1]['segment'], '-')) |
1469
|
1 |
|
_retrieve(i - 1, j, score + _sig_skip(src[i - 1]), loc_out) |
1470
|
1 |
|
loc_out.pop() |
1471
|
|
|
|
1472
|
1 |
View Code Duplication |
if ( |
|
|
|
|
1473
|
|
|
i > 1 |
1474
|
|
|
and j > 0 |
1475
|
|
|
and s_mat[i - 2, j - 1] |
1476
|
|
|
+ _sig_exp(tar[j - 1], src[i - 2], src[i - 1]) |
1477
|
|
|
+ score |
1478
|
|
|
>= threshold |
1479
|
|
|
): |
1480
|
1 |
|
loc_out = deepcopy(out) |
1481
|
1 |
|
loc_out.append( |
1482
|
|
|
( |
1483
|
|
|
src[i - 2]['segment'] + src[i - 1]['segment'], |
1484
|
|
|
tar[j - 1]['segment'], |
1485
|
|
|
) |
1486
|
|
|
) |
1487
|
1 |
|
_retrieve( |
1488
|
|
|
i - 2, |
1489
|
|
|
j - 1, |
1490
|
|
|
score + _sig_exp(tar[j - 1], src[i - 2], src[i - 1]), |
1491
|
|
|
loc_out, |
1492
|
|
|
) |
1493
|
1 |
|
loc_out.pop() |
1494
|
|
|
|
1495
|
1 |
|
sg_max = 0.0 |
1496
|
|
|
|
1497
|
1 |
|
src = list(src) |
1498
|
1 |
|
tar = list(tar) |
1499
|
|
|
|
1500
|
1 |
|
for ch in range(len(src)): |
1501
|
1 |
|
if src[ch] in self._phones: |
1502
|
1 |
|
seg = src[ch] |
1503
|
1 |
|
src[ch] = dict(self._phones[src[ch]]) |
1504
|
1 |
|
src[ch]['segment'] = seg |
1505
|
1 |
|
for ch in range(len(tar)): |
1506
|
1 |
|
if tar[ch] in self._phones: |
1507
|
1 |
|
seg = tar[ch] |
1508
|
1 |
|
tar[ch] = dict(self._phones[tar[ch]]) |
1509
|
1 |
|
tar[ch]['segment'] = seg |
1510
|
|
|
|
1511
|
1 |
|
src = [fb for fb in src if isinstance(fb, dict)] |
1512
|
1 |
|
tar = [fb for fb in tar if isinstance(fb, dict)] |
1513
|
|
|
|
1514
|
1 |
|
for i in range(1, len(src)): |
1515
|
1 |
View Code Duplication |
if 'supplemental' in src[i]: |
|
|
|
|
1516
|
1 |
|
j = i - 1 |
1517
|
1 |
|
while j > -1: |
1518
|
1 |
|
if 'supplemental' not in src[j]: |
1519
|
1 |
|
for key, value in src[i].items(): |
1520
|
1 |
|
if key != 'supplemental': |
1521
|
1 |
|
if key == 'segment': |
1522
|
1 |
|
src[j]['segment'] += value |
1523
|
|
|
else: |
1524
|
1 |
|
src[j][key] = value |
1525
|
1 |
|
j = 0 |
1526
|
1 |
|
j -= 1 |
1527
|
1 |
|
src = [fb for fb in src if 'supplemental' not in fb] |
1528
|
|
|
|
1529
|
1 |
|
for i in range(1, len(tar)): |
1530
|
1 |
View Code Duplication |
if 'supplemental' in tar[i]: |
|
|
|
|
1531
|
1 |
|
j = i - 1 |
1532
|
1 |
|
while j > -1: |
1533
|
1 |
|
if 'supplemental' not in tar[j]: |
1534
|
1 |
|
for key, value in tar[i].items(): |
1535
|
1 |
|
if key != 'supplemental': |
1536
|
1 |
|
if key == 'segment': |
1537
|
1 |
|
tar[j]['segment'] += value |
1538
|
|
|
else: |
1539
|
1 |
|
tar[j][key] = value |
1540
|
1 |
|
j = 0 |
1541
|
1 |
|
j -= 1 |
1542
|
1 |
|
tar = [fb for fb in tar if 'supplemental' not in fb] |
1543
|
|
|
|
1544
|
1 |
|
for i in range(len(src)): |
1545
|
1 |
|
for key in src[i].keys(): |
1546
|
1 |
|
if key != 'segment': |
1547
|
1 |
|
src[i][key] = self.feature_weights[src[i][key]] |
1548
|
1 |
|
for i in range(len(tar)): |
1549
|
1 |
|
for key in tar[i].keys(): |
1550
|
1 |
|
if key != 'segment': |
1551
|
1 |
|
tar[i][key] = self.feature_weights[tar[i][key]] |
1552
|
|
|
|
1553
|
1 |
|
src_len = len(src) |
1554
|
1 |
|
tar_len = len(tar) |
1555
|
|
|
|
1556
|
1 |
|
s_mat = np_zeros((src_len + 1, tar_len + 1), dtype=np_float) |
1557
|
|
|
|
1558
|
1 |
|
if self._mode == 'global': |
1559
|
1 |
|
for i in range(1, src_len + 1): |
1560
|
1 |
|
s_mat[i, 0] = s_mat[i - 1, 0] + _sig_skip(src[i - 1]) |
1561
|
1 |
|
for j in range(1, tar_len + 1): |
1562
|
1 |
|
s_mat[0, j] = s_mat[0, j - 1] + _sig_skip(tar[j - 1]) |
1563
|
|
|
|
1564
|
1 |
|
for i in range(1, src_len + 1): |
1565
|
1 |
|
for j in range(1, tar_len + 1): |
1566
|
1 |
|
s_mat[i, j] = max( |
1567
|
|
|
s_mat[i - 1, j] + _sig_skip(src[i - 1]), |
1568
|
|
|
s_mat[i, j - 1] + _sig_skip(tar[j - 1]), |
1569
|
|
|
s_mat[i - 1, j - 1] + _sig_sub(src[i - 1], tar[j - 1]), |
1570
|
|
|
s_mat[i - 1, j - 2] |
1571
|
|
|
+ _sig_exp(src[i - 1], tar[j - 2], tar[j - 1]) |
1572
|
|
|
if j > 1 |
1573
|
|
|
else NINF, |
1574
|
|
|
s_mat[i - 2, j - 1] |
1575
|
|
|
+ _sig_exp(tar[j - 1], src[i - 2], src[i - 1]) |
1576
|
|
|
if i > 1 |
1577
|
|
|
else NINF, |
1578
|
|
|
0 if self._mode in {'local', 'half-local'} else NINF, |
1579
|
|
|
) |
1580
|
|
|
|
1581
|
1 |
|
if s_mat[i, j] > sg_max: |
1582
|
1 |
|
if self._mode == 'semi-global': |
1583
|
1 |
|
if i == src_len or j == tar_len: |
1584
|
1 |
|
sg_max = s_mat[i, j] |
1585
|
|
|
else: |
1586
|
1 |
|
sg_max = s_mat[i, j] |
1587
|
|
|
|
1588
|
1 |
|
if self._mode in {'global', 'half-local'}: |
1589
|
1 |
|
dp_score = s_mat[src_len, tar_len] |
1590
|
|
|
else: |
1591
|
1 |
|
dp_score = s_mat.max() |
1592
|
|
|
|
1593
|
1 |
|
if score_only: |
1594
|
1 |
|
return dp_score |
1595
|
|
|
|
1596
|
1 |
|
threshold = (1 - self._epsilon) * dp_score |
1597
|
|
|
|
1598
|
1 |
|
alignments = [] |
1599
|
|
|
|
1600
|
1 |
|
for i in range(1, src_len + 1): |
1601
|
1 |
|
for j in range(1, tar_len + 1): |
1602
|
1 |
|
if self._mode in {'global', 'half-local'} and ( |
1603
|
|
|
i < src_len or j < tar_len |
1604
|
|
|
): |
1605
|
1 |
|
continue |
1606
|
1 |
|
if self._mode == 'semi-global' and ( |
1607
|
|
|
i < src_len and j < tar_len |
1608
|
|
|
): |
1609
|
1 |
|
continue |
1610
|
1 |
|
if s_mat[i, j] >= threshold: |
1611
|
1 |
|
out = [] |
1612
|
1 |
|
for j1 in range(tar_len - 1, j - 1, -1): |
1613
|
1 |
|
out.append(('', tar[j1]['segment'])) |
1614
|
1 |
|
for i1 in range(src_len - 1, i - 1, -1): |
1615
|
1 |
|
out.append((src[i1]['segment'], '')) |
1616
|
1 |
|
out.append(('‖', '‖')) |
1617
|
1 |
|
_retrieve(i, j, 0, out) |
1618
|
|
|
|
1619
|
1 |
|
def _first_element(x): |
1620
|
1 |
|
return x[0] |
1621
|
|
|
|
1622
|
1 |
|
return sorted(alignments, key=_first_element, reverse=True) |
1623
|
|
|
|
1624
|
1 |
|
def sim_score(self, src, tar): |
1625
|
|
|
"""Return the ALINE alignment score of two strings. |
1626
|
|
|
|
1627
|
|
|
Parameters |
1628
|
|
|
---------- |
1629
|
|
|
src : str |
1630
|
|
|
Source string for comparison |
1631
|
|
|
tar : str |
1632
|
|
|
Target string for comparison |
1633
|
|
|
|
1634
|
|
|
Returns |
1635
|
|
|
------- |
1636
|
|
|
float |
1637
|
|
|
ALINE alignment score |
1638
|
|
|
|
1639
|
|
|
Examples |
1640
|
|
|
-------- |
1641
|
|
|
>>> cmp = ALINE() |
1642
|
|
|
>>> cmp.sim_score('cat', 'hat') |
1643
|
|
|
50.0 |
1644
|
|
|
>>> cmp.sim_score('niall', 'neil') |
1645
|
|
|
90.0 |
1646
|
|
|
>>> cmp.sim_score('aluminum', 'catalan') |
1647
|
|
|
81.5 |
1648
|
|
|
>>> cmp.sim_score('atcg', 'tagc') |
1649
|
|
|
65.0 |
1650
|
|
|
|
1651
|
|
|
|
1652
|
|
|
.. versionadded:: 0.4.0 |
1653
|
|
|
|
1654
|
|
|
""" |
1655
|
1 |
|
if src == '' and tar == '': |
1656
|
1 |
|
return 1.0 |
1657
|
1 |
|
return self.alignments(src, tar, score_only=True) |
1658
|
|
|
|
1659
|
1 |
|
def sim(self, src, tar): |
1660
|
|
|
"""Return the normalized ALINE similarity of two strings. |
1661
|
|
|
|
1662
|
|
|
Parameters |
1663
|
|
|
---------- |
1664
|
|
|
src : str |
1665
|
|
|
Source string for comparison |
1666
|
|
|
tar : str |
1667
|
|
|
Target string for comparison |
1668
|
|
|
|
1669
|
|
|
Returns |
1670
|
|
|
------- |
1671
|
|
|
float |
1672
|
|
|
Normalized ALINE similarity |
1673
|
|
|
|
1674
|
|
|
Examples |
1675
|
|
|
-------- |
1676
|
|
|
>>> cmp = ALINE() |
1677
|
|
|
>>> cmp.dist('cat', 'hat') |
1678
|
|
|
0.4117647058823529 |
1679
|
|
|
>>> cmp.dist('niall', 'neil') |
1680
|
|
|
0.33333333333333337 |
1681
|
|
|
>>> cmp.dist('aluminum', 'catalan') |
1682
|
|
|
0.5925 |
1683
|
|
|
>>> cmp.dist('atcg', 'tagc') |
1684
|
|
|
0.45833333333333337 |
1685
|
|
|
|
1686
|
|
|
|
1687
|
|
|
.. versionadded:: 0.4.0 |
1688
|
|
|
|
1689
|
|
|
""" |
1690
|
1 |
|
num = self.sim_score(src, tar) |
1691
|
1 |
|
if num: |
1692
|
1 |
|
return num / self._normalizer( |
1693
|
|
|
[self.sim_score(src, src), self.sim_score(tar, tar)] |
1694
|
|
|
) |
1695
|
1 |
|
return 0.0 |
1696
|
|
|
|
1697
|
|
|
|
1698
|
|
|
if __name__ == '__main__': |
1699
|
|
|
import doctest |
1700
|
|
|
|
1701
|
|
|
doctest.testmod(optionflags=doctest.NORMALIZE_WHITESPACE) |
1702
|
|
|
|