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127 lines
4.1 KiB
Python
127 lines
4.1 KiB
Python
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Copyright (c) 2017-present, Facebook, Inc.
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# All rights reserved.
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#
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# This source code is licensed under the license found in the LICENSE file in
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# the root directory of this source tree. An additional grant of patent rights
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# can be found in the PATENTS file in the same directory.
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""" Code from
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https://github.com/NVIDIA/DeepLearningExamples/blob/
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master/PyTorch/Translation/Transformer/fairseq/tokenizer.py
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"""
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import re
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import sys
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import unicodedata
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from collections import defaultdict
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__all__ = ['get_unicode_categories', 'tokenize_en']
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def get_unicode_categories():
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cats = defaultdict(list)
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for c in map(chr, range(sys.maxunicode + 1)):
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cats[unicodedata.category(c)].append(c)
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return cats
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NUMERICS = ''.join(get_unicode_categories()['No'])
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def tokenize_en(line):
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line = line.strip()
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line = ' ' + line + ' '
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# remove ASCII junk
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line = re.sub(r'\s+', ' ', line)
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line = re.sub(r'[\x00-\x1F]', '', line)
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# fix whitespaces
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line = re.sub(r'\ +', ' ', line)
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line = re.sub('^ ', '', line)
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line = re.sub(' $', '', line)
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# separate other special characters
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line = re.sub(r'([^\s\.\'\`\,\-\w]|[_' + NUMERICS + '])', r' \g<1> ', line)
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line = re.sub(r'(\w)\-(?=\w)', r'\g<1> @-@ ', line)
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# multidots stay together
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line = re.sub(r'\.([\.]+)', r' DOTMULTI\g<1>', line)
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while re.search(r'DOTMULTI\.', line):
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line = re.sub(r'DOTMULTI\.([^\.])', r'DOTDOTMULTI \g<1>', line)
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line = re.sub(r'DOTMULTI\.', r'DOTDOTMULTI', line)
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# separate out "," except if within numbers (5,300)
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line = re.sub(r'([\D])[,]', r'\g<1> , ', line)
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line = re.sub(r'[,]([\D])', r' , \g<1>', line)
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# separate "," after a number if it's the end of sentence
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line = re.sub(r'(\d)[,]$', r'\g<1> ,', line)
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# split contractions right
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line = re.sub(r'([\W\d])[\']([\W\d])', r'\g<1> \' \g<2>', line)
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line = re.sub(r'(\W)[\']([\w\D])', r'\g<1> \' \g<2>', line)
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line = re.sub(r'([\w\D])[\']([\W\d])', r'\g<1> \' \g<2>', line)
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line = re.sub(r'([\w\D])[\']([\w\D])', r'\g<1> \'\g<2>', line)
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# special case for "1990's"
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line = re.sub(r'([\W\d])[\']([s])', r'\g<1> \'\g<2>', line)
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# apply nonbreaking prefixes
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words = line.split()
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line = ''
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for i in range(len(words)):
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word = words[i]
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match = re.search(r'^(\S+)\.$', word)
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if match:
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pre = match.group(1)
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if i == len(words) - 1:
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"""split last words independently as they are unlikely
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to be non-breaking prefixes"""
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word = pre + ' .'
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else:
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word = pre + ' .'
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word += ' '
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line += word
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# clean up extraneous spaces
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line = re.sub(' +', ' ', line)
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line = re.sub('^ ', '', line)
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line = re.sub(' $', '', line)
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# .' at end of sentence is missed
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line = re.sub(r'\.\' ?$', ' . \' ', line)
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# restore multi-dots
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while re.search('DOTDOTMULTI', line):
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line = re.sub('DOTDOTMULTI', 'DOTMULTI.', line)
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line = re.sub('DOTMULTI', '.', line)
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# escape special characters
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line = re.sub(r'\&', r'&', line)
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line = re.sub(r'\|', r'|', line)
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line = re.sub(r'\<', r'<', line)
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line = re.sub(r'\>', r'>', line)
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line = re.sub(r'\'', r''', line)
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line = re.sub(r'\"', r'"', line)
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line = re.sub(r'\[', r'[', line)
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line = re.sub(r'\]', r']', line)
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# ensure final line breaks
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# if line[-1] is not '\n':
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# line += '\n'
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return line
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