File size: 6,389 Bytes
febb7f1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
from parsivar import Normalizer

import num2fawords
import re
import string

from dictionary import dictionary_mapping, fixator_dictionary

_normalizer = Normalizer(half_space_char="\u200c", statistical_space_correction=True)
chars_to_ignore = [
    ",", "?", ".", "!", "-", ";", ":", '""', "%", "'", '"', "�",
    "#", "!", "؟", "?", "«", "»", "،", "(", ")", "؛", "'ٔ", "٬", 'ٔ', ",", "?",
    ".", "!", "-", ";", ":", '"', "“", "%", "‘", "”", "�", "–", "…", "_", "”", '“', '„',
    'ā', 'š', 'ّ', 'ْ',
]
chars_to_ignore = chars_to_ignore + list(string.ascii_lowercase + string.digits)
chars_to_ignore = f"""[{"".join(chars_to_ignore)}]"""
zwnj = "\u200c"
silent_chars = ["ا", "د", "ذ", "ر", "ز", "و", "آ"] + [zwnj] + [" "]


def multiple_replace(text, chars_to_mapping):
    pattern = "|".join(map(re.escape, chars_to_mapping.keys()))
    return re.sub(pattern, lambda m: chars_to_mapping[m.group()], str(text))


def remove_special_characters(text, chars_to_ignore_regex):
    text = re.sub(chars_to_ignore_regex, '', text).lower() + " "
    return text


def convert_word_nums_to_text(word):
    try:
        word = int(word)
        word = num2fawords.words(word)
    except:
        word = word

    return word


def normalizer_at_word_level(text):
    words = text.split()
    _text = []

    for word in words:
        word = convert_word_nums_to_text(word)
        word = fixator_dictionary.get(word, word)

        _text.append(word)

    return " ".join(_text) + " "


def finder(ss, s, starter=False):
    found = []
    for m in re.finditer(ss, s):
        if starter:
            found.append(m.start())
        else:
            found.append((m.start(), m.end()))

    return found


def substring_replace(ss, s, start, end, stripped=True):
    s_start = s[:start]
    s_end = s[end:]

    counter = 0
    if stripped:
        counter = 1 if s_start.endswith(" ") else counter
        s_start = s_start.rstrip()

    return s_start + ss + s_end, counter


def normalizer(
        batch,
        is_normalize=True,
        return_dict=True,
        filter_trivials=False,
        remove_extra_space=False
):
    text = batch["sentence"].lower().strip()

    # Parsivar normalizer
    if is_normalize:
        text = _normalizer.normalize(text)

    # Dictionary mapping
    text = multiple_replace(text, dictionary_mapping)
    text = re.sub(" +", " ", text)

    # Remove specials
    text = remove_special_characters(text, chars_to_ignore)
    text = re.sub(" +", " ", text)

    # Replace connected آ
    special, pointer = "آ", int("0")
    for f in sorted(finder(special, text, True)):
        index = f + pointer - 1
        if len(text) >= index:
            if text[index] not in silent_chars:
                new_text, extra_pointer = substring_replace(
                    f"{text[index]}{zwnj}", text, index, index + 1, stripped=True)
                text = new_text
                pointer += 1 + 1 - 1 - extra_pointer

    # Replace connected ها
    pointer = int("0")
    special_list = [
        # "ام", "ای", "است", "ایم", "اید", "اند",
        "هایمان", "هایم", "هایت", "هایش",
        "هایتان", "هایشان", "هام", "هات",
        "هاتان", "هامون", "هامان", "هاش",
        "هاتون", "هاشان", "هاشون",
        "هایی", "های", "هاس", "ها"
    ]
    for special in special_list:
        pointer = 0
        text = text
        for f in sorted(finder(special, text, False)):
            start, end = f[0] + pointer - 1, f[1] + pointer - 1
            if len(text) >= (end + 1):
                if len(text) == (end + 1):
                    new_text, extra_pointer = substring_replace(
                        f"{zwnj}{special}",
                        text,
                        start + 1,
                        end + 1,
                        stripped=True)
                    text = new_text
                    pointer += 1 + 1 - 1 - extra_pointer
                else:
                    if text[end + 1] == " ":
                        new_text, extra_pointer = substring_replace(
                            f"{zwnj}{special}",
                            text,
                            start + 1,
                            end + 1,
                            stripped=True)
                        text = new_text
                        pointer += 1 + 1 - 1 - extra_pointer

    special, pointer = "افزار", int("0")
    for f in sorted(finder(special, text, False)):
        start, end = f[0] + pointer - 1, f[1] + pointer - 1

        if len(text) >= (end + 1):
            new_text, extra_pointer = substring_replace(f"{zwnj}{special}", text, start + 1, end + 1, stripped=True)
            text = new_text
            pointer += 1 + 1 - 1 - extra_pointer

    # Replace connected ها
    pointer = int("0")
    special_list = [
        "ترین", "تر"
    ]
    for special in special_list:
        pointer = 0
        text = text
        for f in sorted(finder(special, text, False)):
            start, end = f[0] + pointer - 1, f[1] + pointer - 1
            if len(text) >= (end + 1):
                if len(text) == (end + 1):
                    new_text, extra_pointer = substring_replace(
                        f"{zwnj}{special}",
                        text,
                        start + 1,
                        end + 1,
                        stripped=True)
                    text = new_text
                    pointer += 1 + 1 - 1 - extra_pointer
                else:
                    if text[end + 1] == " ":
                        new_text, extra_pointer = substring_replace(
                            f"{zwnj}{special}",
                            text,
                            start + 1,
                            end + 1,
                            stripped=True)
                        text = new_text
                        pointer += 1 + 1 - 1 - extra_pointer

    # Normalizer at word level
    text = normalizer_at_word_level(text)
    text = re.sub(" +", " ", text)

    if remove_extra_space:
        text = text.strip()
    else:
        text = text.strip() + " "

    if filter_trivials:
        if not len(text) > 2:
            text = None

    if not return_dict:
        return text

    batch["sentence"] = text
    return batch