File size: 18,336 Bytes
9a85c9a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import List
from typing import Tuple

import jieba
from pypinyin import lazy_pinyin
from pypinyin import Style


class ToneSandhi():
    def __init__(self):
        self.must_neural_tone_words = {
            '麻烦', '麻利', '鸳鸯', '高粱', '骨头', '骆驼', '马虎', '首饰', '馒头', '馄饨', '风筝',
            '难为', '队伍', '阔气', '闺女', '门道', '锄头', '铺盖', '铃铛', '铁匠', '钥匙', '里脊',
            '里头', '部分', '那么', '道士', '造化', '迷糊', '连累', '这么', '这个', '运气', '过去',
            '软和', '转悠', '踏实', '跳蚤', '跟头', '趔趄', '财主', '豆腐', '讲究', '记性', '记号',
            '认识', '规矩', '见识', '裁缝', '补丁', '衣裳', '衣服', '衙门', '街坊', '行李', '行当',
            '蛤蟆', '蘑菇', '薄荷', '葫芦', '葡萄', '萝卜', '荸荠', '苗条', '苗头', '苍蝇', '芝麻',
            '舒服', '舒坦', '舌头', '自在', '膏药', '脾气', '脑袋', '脊梁', '能耐', '胳膊', '胭脂',
            '胡萝', '胡琴', '胡同', '聪明', '耽误', '耽搁', '耷拉', '耳朵', '老爷', '老实', '老婆',
            '老头', '老太', '翻腾', '罗嗦', '罐头', '编辑', '结实', '红火', '累赘', '糨糊', '糊涂',
            '精神', '粮食', '簸箕', '篱笆', '算计', '算盘', '答应', '笤帚', '笑语', '笑话', '窟窿',
            '窝囊', '窗户', '稳当', '稀罕', '称呼', '秧歌', '秀气', '秀才', '福气', '祖宗', '砚台',
            '码头', '石榴', '石头', '石匠', '知识', '眼睛', '眯缝', '眨巴', '眉毛', '相声', '盘算',
            '白净', '痢疾', '痛快', '疟疾', '疙瘩', '疏忽', '畜生', '生意', '甘蔗', '琵琶', '琢磨',
            '琉璃', '玻璃', '玫瑰', '玄乎', '狐狸', '状元', '特务', '牲口', '牙碜', '牌楼', '爽快',
            '爱人', '热闹', '烧饼', '烟筒', '烂糊', '点心', '炊帚', '灯笼', '火候', '漂亮', '滑溜',
            '溜达', '温和', '清楚', '消息', '浪头', '活泼', '比方', '正经', '欺负', '模糊', '槟榔',
            '棺材', '棒槌', '棉花', '核桃', '栅栏', '柴火', '架势', '枕头', '枇杷', '机灵', '本事',
            '木头', '木匠', '朋友', '月饼', '月亮', '暖和', '明白', '时候', '新鲜', '故事', '收拾',
            '收成', '提防', '挖苦', '挑剔', '指甲', '指头', '拾掇', '拳头', '拨弄', '招牌', '招呼',
            '抬举', '护士', '折腾', '扫帚', '打量', '打算', '打点', '打扮', '打听', '打发', '扎实',
            '扁担', '戒指', '懒得', '意识', '意思', '情形', '悟性', '怪物', '思量', '怎么', '念头',
            '念叨', '快活', '忙活', '志气', '心思', '得罪', '张罗', '弟兄', '开通', '应酬', '庄稼',
            '干事', '帮手', '帐篷', '希罕', '师父', '师傅', '巴结', '巴掌', '差事', '工夫', '岁数',
            '屁股', '尾巴', '少爷', '小气', '小伙', '将就', '对头', '对付', '寡妇', '家伙', '客气',
            '实在', '官司', '学问', '学生', '字号', '嫁妆', '媳妇', '媒人', '婆家', '娘家', '委屈',
            '姑娘', '姐夫', '妯娌', '妥当', '妖精', '奴才', '女婿', '头发', '太阳', '大爷', '大方',
            '大意', '大夫', '多少', '多么', '外甥', '壮实', '地道', '地方', '在乎', '困难', '嘴巴',
            '嘱咐', '嘟囔', '嘀咕', '喜欢', '喇嘛', '喇叭', '商量', '唾沫', '哑巴', '哈欠', '哆嗦',
            '咳嗽', '和尚', '告诉', '告示', '含糊', '吓唬', '后头', '名字', '名堂', '合同', '吆喝',
            '叫唤', '口袋', '厚道', '厉害', '千斤', '包袱', '包涵', '匀称', '勤快', '动静', '动弹',
            '功夫', '力气', '前头', '刺猬', '刺激', '别扭', '利落', '利索', '利害', '分析', '出息',
            '凑合', '凉快', '冷战', '冤枉', '冒失', '养活', '关系', '先生', '兄弟', '便宜', '使唤',
            '佩服', '作坊', '体面', '位置', '似的', '伙计', '休息', '什么', '人家', '亲戚', '亲家',
            '交情', '云彩', '事情', '买卖', '主意', '丫头', '丧气', '两口', '东西', '东家', '世故',
            '不由', '不在', '下水', '下巴', '上头', '上司', '丈夫', '丈人', '一辈', '那个', '菩萨',
            '父亲', '母亲', '咕噜', '邋遢', '费用', '冤家', '甜头', '介绍', '荒唐', '大人', '泥鳅',
            '幸福', '熟悉', '计划', '扑腾', '蜡烛', '姥爷', '照顾', '喉咙', '吉他', '弄堂', '蚂蚱',
            '凤凰', '拖沓', '寒碜', '糟蹋', '倒腾', '报复', '逻辑', '盘缠', '喽啰', '牢骚', '咖喱',
            '扫把', '惦记'
        }
        self.must_not_neural_tone_words = {
            "男子", "女子", "分子", "原子", "量子", "莲子", "石子", "瓜子", "电子", "人人", "虎虎"
        }
        self.punc = ":,;。?!“”‘’':,;.?!"

    # the meaning of jieba pos tag: https://blog.csdn.net/weixin_44174352/article/details/113731041
    # e.g.
    # word: "家里"
    # pos: "s"
    # finals: ['ia1', 'i3']
    def _neural_sandhi(self, word: str, pos: str,
                       finals: List[str]) -> List[str]:

        # reduplication words for n. and v. e.g. 奶奶, 试试, 旺旺
        for j, item in enumerate(word):
            if j - 1 >= 0 and item == word[j - 1] and pos[0] in {
                    "n", "v", "a"
            } and word not in self.must_not_neural_tone_words:
                finals[j] = finals[j][:-1] + "5"
        ge_idx = word.find("个")
        if len(word) >= 1 and word[-1] in "吧呢啊呐噻嘛吖嗨呐哦哒额滴哩哟喽啰耶喔诶":
            finals[-1] = finals[-1][:-1] + "5"
        elif len(word) >= 1 and word[-1] in "的地得":
            finals[-1] = finals[-1][:-1] + "5"
        # e.g. 走了, 看着, 去过
        # elif len(word) == 1 and word in "了着过" and pos in {"ul", "uz", "ug"}:
        #     finals[-1] = finals[-1][:-1] + "5"
        elif len(word) > 1 and word[-1] in "们子" and pos in {
                "r", "n"
        } and word not in self.must_not_neural_tone_words:
            finals[-1] = finals[-1][:-1] + "5"
        # e.g. 桌上, 地下, 家里
        elif len(word) > 1 and word[-1] in "上下里" and pos in {"s", "l", "f"}:
            finals[-1] = finals[-1][:-1] + "5"
        # e.g. 上来, 下去
        elif len(word) > 1 and word[-1] in "来去" and word[-2] in "上下进出回过起开":
            finals[-1] = finals[-1][:-1] + "5"
        # 个做量词
        elif (ge_idx >= 1 and
              (word[ge_idx - 1].isnumeric() or
               word[ge_idx - 1] in "几有两半多各整每做是")) or word == '个':
            finals[ge_idx] = finals[ge_idx][:-1] + "5"
        else:
            if word in self.must_neural_tone_words or word[
                    -2:] in self.must_neural_tone_words:
                finals[-1] = finals[-1][:-1] + "5"

        word_list = self._split_word(word)
        finals_list = [finals[:len(word_list[0])], finals[len(word_list[0]):]]
        for i, word in enumerate(word_list):
            # conventional neural in Chinese
            if word in self.must_neural_tone_words or word[
                    -2:] in self.must_neural_tone_words:
                finals_list[i][-1] = finals_list[i][-1][:-1] + "5"
        finals = sum(finals_list, [])
        return finals

    def _bu_sandhi(self, word: str, finals: List[str]) -> List[str]:
        # e.g. 看不懂
        if len(word) == 3 and word[1] == "不":
            finals[1] = finals[1][:-1] + "5"
        else:
            for i, char in enumerate(word):
                # "不" before tone4 should be bu2, e.g. 不怕
                if char == "不" and i + 1 < len(word) and finals[i +
                                                                1][-1] == "4":
                    finals[i] = finals[i][:-1] + "2"
        return finals

    def _yi_sandhi(self, word: str, finals: List[str]) -> List[str]:
        # "一" in number sequences, e.g. 一零零, 二一零
        if word.find("一") != -1 and all(
            [item.isnumeric() for item in word if item != "一"]):
            return finals
        # "一" between reduplication words shold be yi5, e.g. 看一看
        elif len(word) == 3 and word[1] == "一" and word[0] == word[-1]:
            finals[1] = finals[1][:-1] + "5"
        # when "一" is ordinal word, it should be yi1
        elif word.startswith("第一"):
            finals[1] = finals[1][:-1] + "1"
        else:
            for i, char in enumerate(word):
                if char == "一" and i + 1 < len(word):
                    # "一" before tone4 should be yi2, e.g. 一段
                    if finals[i + 1][-1] == "4":
                        finals[i] = finals[i][:-1] + "2"
                    # "一" before non-tone4 should be yi4, e.g. 一天
                    else:
                        # "一" 后面如果是标点,还读一声
                        if word[i + 1] not in self.punc:
                            finals[i] = finals[i][:-1] + "4"
        return finals

    def _split_word(self, word: str) -> List[str]:
        word_list = jieba.cut_for_search(word)
        word_list = sorted(word_list, key=lambda i: len(i), reverse=False)
        first_subword = word_list[0]
        first_begin_idx = word.find(first_subword)
        if first_begin_idx == 0:
            second_subword = word[len(first_subword):]
            new_word_list = [first_subword, second_subword]
        else:
            second_subword = word[:-len(first_subword)]
            new_word_list = [second_subword, first_subword]
        return new_word_list

    def _three_sandhi(self, word: str, finals: List[str]) -> List[str]:
        if len(word) == 2 and self._all_tone_three(finals):
            finals[0] = finals[0][:-1] + "2"
        elif len(word) == 3:
            word_list = self._split_word(word)
            if self._all_tone_three(finals):
                #  disyllabic + monosyllabic, e.g. 蒙古/包
                if len(word_list[0]) == 2:
                    finals[0] = finals[0][:-1] + "2"
                    finals[1] = finals[1][:-1] + "2"
                #  monosyllabic + disyllabic, e.g. 纸/老虎
                elif len(word_list[0]) == 1:
                    finals[1] = finals[1][:-1] + "2"
            else:
                finals_list = [
                    finals[:len(word_list[0])], finals[len(word_list[0]):]
                ]
                if len(finals_list) == 2:
                    for i, sub in enumerate(finals_list):
                        # e.g. 所有/人
                        if self._all_tone_three(sub) and len(sub) == 2:
                            finals_list[i][0] = finals_list[i][0][:-1] + "2"
                        # e.g. 好/喜欢
                        elif i == 1 and not self._all_tone_three(sub) and finals_list[i][0][-1] == "3" and \
                                finals_list[0][-1][-1] == "3":

                            finals_list[0][-1] = finals_list[0][-1][:-1] + "2"
                        finals = sum(finals_list, [])
        # split idiom into two words who's length is 2
        elif len(word) == 4:
            finals_list = [finals[:2], finals[2:]]
            finals = []
            for sub in finals_list:
                if self._all_tone_three(sub):
                    sub[0] = sub[0][:-1] + "2"
                finals += sub

        return finals

    def _all_tone_three(self, finals: List[str]) -> bool:
        return all(x[-1] == "3" for x in finals)

    # merge "不" and the word behind it
    # if don't merge, "不" sometimes appears alone according to jieba, which may occur sandhi error
    def _merge_bu(self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
        new_seg = []
        last_word = ""
        for word, pos in seg:
            if last_word == "不":
                word = last_word + word
            if word != "不":
                new_seg.append((word, pos))
            last_word = word[:]
        if last_word == "不":
            new_seg.append((last_word, 'd'))
            last_word = ""
        return new_seg

    # function 1: merge "一" and reduplication words in it's left and right, e.g. "听","一","听" ->"听一听"
    # function 2: merge single  "一" and the word behind it
    # if don't merge, "一" sometimes appears alone according to jieba, which may occur sandhi error
    # e.g.
    # input seg: [('听', 'v'), ('一', 'm'), ('听', 'v')]
    # output seg: [['听一听', 'v']]
    def _merge_yi(self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
        new_seg = []
        # function 1
        for i, (word, pos) in enumerate(seg):
            if i - 1 >= 0 and word == "一" and i + 1 < len(seg) and seg[i - 1][
                    0] == seg[i + 1][0] and seg[i - 1][1] == "v":
                new_seg[i - 1][0] = new_seg[i - 1][0] + "一" + new_seg[i - 1][0]
            else:
                if i - 2 >= 0 and seg[i - 1][0] == "一" and seg[i - 2][
                        0] == word and pos == "v":
                    continue
                else:
                    new_seg.append([word, pos])
        seg = new_seg
        new_seg = []
        # function 2
        for i, (word, pos) in enumerate(seg):
            if new_seg and new_seg[-1][0] == "一":
                new_seg[-1][0] = new_seg[-1][0] + word
            else:
                new_seg.append([word, pos])
        return new_seg

    # the first and the second words are all_tone_three
    def _merge_continuous_three_tones(
            self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
        new_seg = []
        sub_finals_list = [
            lazy_pinyin(
                word, neutral_tone_with_five=True, style=Style.FINALS_TONE3)
            for (word, pos) in seg
        ]
        assert len(sub_finals_list) == len(seg)
        merge_last = [False] * len(seg)
        for i, (word, pos) in enumerate(seg):
            if i - 1 >= 0 and self._all_tone_three(
                    sub_finals_list[i - 1]) and self._all_tone_three(
                        sub_finals_list[i]) and not merge_last[i - 1]:
                # if the last word is reduplication, not merge, because reduplication need to be _neural_sandhi
                if not self._is_reduplication(seg[i - 1][0]) and len(
                        seg[i - 1][0]) + len(seg[i][0]) <= 3:
                    new_seg[-1][0] = new_seg[-1][0] + seg[i][0]
                    merge_last[i] = True
                else:
                    new_seg.append([word, pos])
            else:
                new_seg.append([word, pos])

        return new_seg

    def _is_reduplication(self, word: str) -> bool:
        return len(word) == 2 and word[0] == word[1]

    # the last char of first word and the first char of second word is tone_three
    def _merge_continuous_three_tones_2(
            self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
        new_seg = []
        sub_finals_list = [
            lazy_pinyin(
                word, neutral_tone_with_five=True, style=Style.FINALS_TONE3)
            for (word, pos) in seg
        ]
        assert len(sub_finals_list) == len(seg)
        merge_last = [False] * len(seg)
        for i, (word, pos) in enumerate(seg):
            if i - 1 >= 0 and sub_finals_list[i - 1][-1][-1] == "3" and sub_finals_list[i][0][-1] == "3" and not \
                    merge_last[i - 1]:
                # if the last word is reduplication, not merge, because reduplication need to be _neural_sandhi
                if not self._is_reduplication(seg[i - 1][0]) and len(
                        seg[i - 1][0]) + len(seg[i][0]) <= 3:
                    new_seg[-1][0] = new_seg[-1][0] + seg[i][0]
                    merge_last[i] = True
                else:
                    new_seg.append([word, pos])
            else:
                new_seg.append([word, pos])
        return new_seg

    def _merge_er(self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
        new_seg = []
        for i, (word, pos) in enumerate(seg):
            if i - 1 >= 0 and word == "儿" and seg[i-1][0] != "#":
                new_seg[-1][0] = new_seg[-1][0] + seg[i][0]
            else:
                new_seg.append([word, pos])
        return new_seg

    def _merge_reduplication(
            self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
        new_seg = []
        for i, (word, pos) in enumerate(seg):
            if new_seg and word == new_seg[-1][0]:
                new_seg[-1][0] = new_seg[-1][0] + seg[i][0]
            else:
                new_seg.append([word, pos])
        return new_seg

    def pre_merge_for_modify(
            self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
        seg = self._merge_bu(seg)
        try:
            seg = self._merge_yi(seg)
        except:
            print("_merge_yi failed")
        seg = self._merge_reduplication(seg)
        seg = self._merge_continuous_three_tones(seg)
        seg = self._merge_continuous_three_tones_2(seg)
        seg = self._merge_er(seg)
        return seg

    def modified_tone(self, word: str, pos: str,
                      finals: List[str]) -> List[str]:
        finals = self._bu_sandhi(word, finals)
        finals = self._yi_sandhi(word, finals)
        finals = self._neural_sandhi(word, pos, finals)
        finals = self._three_sandhi(word, finals)
        return finals