File size: 5,912 Bytes
7105847
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
#!/usr/bin/env python3

import sys
import os
import argparse
import random
import csv
import re
import logging
from tqdm import tqdm

logger = logging.getLogger()
logger.setLevel(logging.INFO)


REPLACEMENT_MAP = {
    'a': ['&', 'é', 'ã', '1', '2', 'z', 'q'],
    'ã': ['a', 'é', '&', '"', 'a', 'z', '1', '2', '3'],
    'à': ['a', 'è', '-', '_', '\\', 'y', 'u', '6', '7', '8'],
    'ä': ['a', 'â', 'p', 'm', '$', '£', ')', ']', '=', '}', 'º', '+', '%', 'ù'],
    'â': ['a', 'ä', 'p', 'm', '$', '£', ')', ']', '=', '}', 'º', '+', '%', 'ù'],
    'b': ['v', 'n', 'g', 'h'],
    'c': ['x', 'v', 'f', 'g'],
    'ç': ['c', '_', '\\', 'à', '@', 'i', 'o', '8', '9', '0'],
    'd': ['s', 'f', 'e', '€', 'r', 'x', 'c'],
    'e': ['€', 'z', 'r', 's', 'd', '"', '#', '\'', '{', '3', '4'],
    'é': ['e', '€', 'ã', '&', '"', 'a', 'z', '1', '2', '3'],
    'ê': ['e', '€', 'z', 'r', 's', 'd', '"', '#', '\'', '{'],
    'è': ['e', '€', 'à', '-', '_', '\\', 'y', 'u', '6', '7', '8'],
    'f': ['d', 'g', 'r', 't', 'c', 'v'],
    'g': ['f', 'h', 't', 'y', 'v', 'b'],
    'h': ['g', 'j', 'y', 'u', 'b', 'n'],
    'i': ['u', 'o', '_', '\\', 'ç', '^', 'j', 'k', '8', '9'],
    'j': ['h', 'k', 'u', 'i', 'n', '?', ','],
    'k': ['j', 'l', 'i', 'o', '?', ',', '.', ';'],
    'l': ['k', 'm', 'o', 'p', '.', ';', '/', ':'],
    'm': ['l', '%', 'ù', 'p', 'ä', 'â', '/', ':', '§', '!'],
    'n': ['b', '?', ',', 'h', 'j'],
    'o': ['i', 'p', 'ç', '^', 'à', '@', 'k', 'l', '9', '0'],
    'p': ['o', 'ä', 'â', 'à', '@', ')', ']', 'l', 'm', '0', 'º'],
    'q': ['a', 'z', 's', 'w', '>', '<'],
    'r': ['e', 't', 'd', 'f', '\'', '{', '(', '[', '4', '5'],
    's': ['q', 'd', 'z', 'w', 'x'],
    't': ['r', 'y', 'f', 'g', '(', '[', '-', '5', '6'],
    'u': ['y', 'i', 'h', 'j', 'è', 'à', '_', '\\', '7', '8'],
    'ù': ['u', '%', 'm', 'ä', 'â', '§', '!', '$', '£'],
    'v': ['c', 'b', 'f', 'g'],
    'x': ['w', 'c', 's', 'd'],
    'y': ['t', 'u', 'g', 'h', '_', 'è', 'à', '6', '7'],
    'w': ['>', '<', 'x', 'q', 's'],
    'z': ['a', 'e', '€', 'q', 's', 'é', 'ã', '"', '#', '2', '3'], 
}


SENTENCE_ID = re.compile(r'^\d+\t')


def rotate(word: str) -> str:
    if len(word) < 3:
        return word
    i = random.randint(1, len(word) - 2)
    j = i + 1 if random.random() > 0.5 else i - 1
    letters = list(word)
    letters[i], letters[j] = letters[j], letters[i]
    word_ = ''.join(letters)
    return word_


def replace(word: str) -> str:
    word_ = '%s' % word
    i = random.randint(0, len(word) - 1)
    is_lower = word[i].lower() == word[i]
    if word[i].lower() in REPLACEMENT_MAP:
        c = random.choice(REPLACEMENT_MAP[word[i].lower()])
        c = c if is_lower else c.upper()
        letters = list(word)
        letters[i] = c
        word_ = ''.join(letters)
    return word_


def insert(word: str) -> str:
    i = random.randint(0, len(word) - 1)
    c = word[i]
    j = i + 1 if random.random() > 0.5 else i - 1
    letters = list(word)
    letters.insert(j, c)
    word_ = ''.join(letters)
    return word_


def delete(word: str) -> str:
    i = random.randint(0, len(word) - 1)
    word_ = word[:i] + word[i + 1:]
    return word_


OPERATIONS = [
    rotate,
    insert,
    delete,
    replace
]


def transform_sentence(sentence: str, probability: float = 0.25) -> str:
    words = sentence.split()

    # Join two words with probability 0.5
    if random.random() < 0.5 and len(words) > 1:
        i = random.randint(0, len(words) - 1)
        if random.random() < 0.5 and i < len(words) - 1 or i == 0:
            j = i + 1
            words[i] = f"{words[i]}{words[j]}"
        else:
            j = i - 1
            words[i] = f"{words[j]}{words[i]}"
        del words[j]

    # Transform each word with probability 'probability'
    for i, word in enumerate(words):
        if random.random() < probability and not word.isdigit():
            words[i] = random.choice(OPERATIONS)(word)
    sentence_ = ' '.join(words)
    return sentence_


def main(args: argparse.Namespace) -> int:
    if not os.path.exists(args.input_data_path):
        logger.error("Invalid input data path.")
        return -1
    
    sentences = []
    with open(args.input_data_path, 'r') as f:
        for sentence in f:
            if SENTENCE_ID.search(sentence):
                sentence = SENTENCE_ID.sub('', sentence)
            sentence = (
                sentence
                .replace('“', '')
                .replace('”', '')
                .replace('"', '')
                .replace('«', '')
                .replace('»', '')
            )   
            sentences.append(' '.join(sentence.split()))

    dirname = os.path.dirname(args.output_data_path)
    if not os.path.exists(dirname):
        os.mkdir(dirname)

    logger.info("Transforming sentences to generate cases")
    with open(args.output_data_path, 'w', newline='') as csv_file:
        writer = csv.writer(csv_file, delimiter=',')
        writer.writerow(["input", "target"])
        for sentence in tqdm(sentences):
            correction = sentence
            for case in range(args.number_of_cases):
                transformed_sentence = transform_sentence(sentence)
                if transformed_sentence == sentence:
                    continue
                input_text = f"grammaire: {transformed_sentence}"
                writer.writerow([input_text, correction])

    return 0


if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument(
        '--input-data-path', '-i',
        type=str,
        required=True
    )
    parser.add_argument(
        '--output-data-path', '-o',
        type=str,
        default='data/dataset/dataset.csv'
    )
    parser.add_argument(
        '--number-of-cases', '-n',
        type=int,
        default=5
    )

    args, _ = parser.parse_known_args()

    sys.exit(
        main(args)
    )