常用算法实现（五） |
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一.概述（阿拉伯数字转汉语数字） 在自然语言处理NLP任务中，阿拉伯数字转汉语数字是时常使用到的一个功能，但还是比较少的吧。 主要思想还是根据千兆、千亿、千万、千等单位三划分，依次按照权位转化。 github地址: Tookit-Sihui/chinese_and_number.py at master · yongzhuo/Tookit-Sihui · GitHub 二.实现（常见模板生成句子） 实现的是: 支持小数，"."和点 # -*- coding: UTF-8 -*- # !/usr/bin/python # @time :2019/5/17 15:17 # @author :Mo # @function :change chinese digit to Arab or reversed import random def is_total_num(text): """ 判断是否是数字的 :param text: str :return: boolean, True or false """ try: text_clear = text.replace(" ", "").strip() number = 0 for one in text_clear: if one.isdigit(): number += 1 if number == len(text_clear): return True else: return False except: return False # chinese_to_number, 单位-数字 unit_dict = {"十": 10, "百": 100, "千": 1000, "万": 10000, "亿": 100000000, "拾":10, "佰":100, "陌":100, "仟":1000, "阡":1000, "萬":10000, "億":100000000} unit_dict_keys = unit_dict.keys() digit_dict = {"零": 0, "一": 1, "二": 2, "两": 2, "俩": 2, "三": 3, "四": 4, "五": 5, "六": 6, "七": 7, "八": 8, "九": 9, "壹":1, "贰":2, "叁":3, "肆":4, "伍":5, "陆":6, "柒":7, "捌":8, "玖":9, "弌":1, "弍":2, "弎":3, "貳":2, "陸":6, "0":0, "1":1, "2":2, "3":3, "4":4, "5":5, "6":6, "7":7, "8":8, "9":9} # number_to_chinese, 单位-数字 num_dict = { 0: "零", 1: "一", 2: "二", 3: "三", 4: "四", 5: "五", 6: "六", 7: "七", 8: "八", 9: "九" } unit_map = [ ["", "十", "百", "千"], ["万", "十万", "百万", "千万"], ["亿", "十亿", "百亿", "千亿"], ["兆", "十兆", "百兆", "千兆"] ] unit_step = ["万", "亿", "兆"] class chinese_to_number(): def __init__(self): self.result = 0.0 self.result_last = 0.0 # 字符串分离 self.str_billion = "" # 亿 self.str_billion_hundred = "" # 亿万 self.str_billion_one = "" self.str_thousand_ten = "" # 万 self.str_single = "" # one def free_zero_and_split_three_parts(self, text): """ 去零切分成三部分 :param text:str :return: """ assert type(text) == str # if "零" in text: # text = text.replace("零", "") # 分切成三部分 index = 0 flag_billion = True # 亿 flag_billion_hundred = True # 万亿 flag_thousand_ten = True #万 len_text = len(text) for i in range(len_text): if "亿" == text[i]: # 存在亿前面也有万的情况，小分节 self.str_billion = text[0:i] if text.find("亿") > text.find("万"): for j in range(len(self.str_billion)): if "万" == self.str_billion[j]: flag_billion_hundred = False self.str_billion_hundred = self.str_billion[0:j] self.str_billion_one = self.str_billion[j+1:] # 如何亿字节中没有万，直接赋值 if flag_billion_hundred: self.str_billion_one = self.str_billion index = i + 1 flag_billion = False # 分节完毕 self.str_single = text[i + 1:] if "万" == text[i] and text.find("亿") < text.find("万"): self.str_thousand_ten = text[index:i] self.str_single = text[i+1:] flag_thousand_ten = False if flag_billion and flag_thousand_ten: self.str_single = text def str_to_number(self, text): """ string change to number :param text: str :return: """ assert type(text) == str number_res = 0 number_1 = 0 number_2 = 0 number_3 = 0 if not text: return 0 len_text = len(text) # 规范语, for i in range(len_text): # 数字 if text[i] in digit_dict: number_1 = digit_dict[text[i]] if i == len_text - 1: # 最后一个数字 if len_text > 2: # 口语化的情形, 如一万五 if text[len_text - 1] in digit_dict and text[len_text - 2] in unit_dict: number_res += number_1 * number_2 * 0.1 break number_res += number_1 # 单位 elif text[i] in unit_dict: number_2 = unit_dict[text[i]] if number_1==0 and number_2==10: number_3 = number_2 else: number_3 = number_1 * number_2 # 清零避免重复读取 number_1 = 0 number_res += number_3 # 处理形如 "二点13亿", "1.56万" 这样的情况 else: try: text_else_str = [str(digit_dict[tet]) if tet in digit_dict else tet for tet in text] number_res = float("".join(text_else_str)) except: number_res = 0 break return number_res def compose_integer(self, text): """ 整数转数字, 合并 :param text:str, input of chinese, eg.["一百", "三千零七十八亿三千零十五万零三百一十二"] :return: float, result of change chinese to digit """ assert type(text) == str self.result = 0.0 self.result_last = 0.0 if not text.strip(): return self.result_last text = text.replace("兆", "万亿").replace("点", ".").strip(".").strip() len_text = len(text) # 判断十百千万在不在text里边，在的话就走第二个 flag_pos = True for unit_dict_key in unit_dict_keys: if unit_dict_key in text: flag_pos = False break # 分三种情况，全数字返回原值，有中文unit_dict_keys就组合， 没有中文unit_dict_keys整合 if is_total_num(text): digit_float = float(text) return digit_float elif flag_pos: result_pos = "" for i in range(len_text): if "."!=text[i] and not text[i].isdigit(): result_pos += str(digit_dict[text[i]]) else: result_pos += text[i] self.result_last = float(result_pos) else: self.free_zero_and_split_three_parts(text) float_billion_hundred = self.str_to_number(self.str_billion_hundred) float_billion_one = self.str_to_number(self.str_billion_one) float_thousand_ten = self.str_to_number(self.str_thousand_ten) float_single = self.str_to_number(self.str_single) self.result = float((float_billion_hundred * 10000 + float_billion_one) * 100000000 + float_thousand_ten * 10000 + float_single) self.result_last = self.result # 重置 self.str_billion = "" # 亿 self.str_billion_hundred = "" # 亿万 self.str_billion_one = "" self.str_thousand_ten = "" # 万 self.str_single = "" # one return self.result_last def compose_decimal(self, text): """ 中文小数转数字 :param text:str, input of chinese, eg.["一百", "三千零七十八亿三千零十五万零三百一十二"] :return: float, result of change chinese to digit """ assert type(text) == str self.result = 0.0 self.result_last = 0.0 self.result_start = 0.0 text = text.replace("兆", "万亿").replace("点", ".").strip() if "." in text: # 判断十百千万在不在.号后边，在的话就走compose_integer()，并且返回 pos_point = text.find(".") for unit_dict_key in unit_dict_keys: if unit_dict_key in text: if pos_point < text.find(unit_dict_key): return self.compose_integer(text) # 否则就是有小数 texts = text.split(".") text_start = texts[0] text_end = texts[1] # 处理整数部分 if "0"==text_start or "零"==text_start: self.result_start = "0." else: self.result_start = str(int(self.compose_integer(text_start))) + "." # 处理尾部，就是后边小数部分 result_pos = "" len_text = len(text_end) for i in range(len_text): if "."!=text_end[i] and not text_end[i].isdigit(): result_pos += str(digit_dict[text_end[i]]) else: result_pos += text_end[i] # 拼接 self.result_last = float(self.result_start + result_pos) if result_pos.isdigit() else self.result_start else: self.result_last = self.compose_integer(text) return self.result_last class number_to_chinese(): """ codes reference: https://github.com/tyong920/a2c """ def __init__(self): self.result = "" def number_to_str_10000(self, data_str): """一万以内的数转成大写""" res = [] count = 0 # 倒转 str_rev = reversed(data_str) # seq -- 要转换的序列，可以是 tuple, string, list 或 range。返回一个反转的迭代器。 for i in str_rev: if i is not "0": count_cos = count // 4 # 行 count_col = count % 4 # 列 res.append(unit_map[count_cos][count_col]) res.append(num_dict[int(i)]) count += 1 else: count += 1 if not res: res.append("零") elif res[-1] is not "零": res.append("零") # 再次倒序，这次变为正序了 res.reverse() # 去掉"一十零"这样整数的“零” if res[-1] is "零" and len(res) is not 1: res.pop() return "".join(res) def number_to_str(self, data): """分段转化""" assert type(data) == float or int data_str = str(data) len_data = len(str(data_str)) count_cos = len_data // 4 # 行 count_col = len_data-count_cos*4 # 列 if count_col > 0: count_cos += 1 res = "" for i in range(count_cos): if i==0: data_in = data_str[-4:] elif i==count_cos-1 and count_col>0: data_in = data_str[:count_col] else: data_in = data_str[-(i+1)*4:-(i*4)] res_ = self.number_to_str_10000(data_in) if "0000"==data_in: continue # 防止零万, 零亿的情况出现 res = res_ + unit_map[i][0] + res # if len(res) > 1 and res.endswith("零"): res = res[:-1] return res def decimal_chinese(self, data): assert type(data) == float or int data_str = str(data) if "." not in data_str: res = self.number_to_str(data_str) else: data_str_split = data_str.split(".") if len(data_str_split) is 2: res_start = self.number_to_str(data_str_split[0]) res_end = "".join([num_dict[int(number)] for number in data_str_split[1]]) res = res_start + random.sample(["点", "."], 1)[0] + res_end else: res = str(data) return res def judge_compose_decimal(data_json): """测试小数""" ctn = chinese_to_number() for data in data_json.keys(): res_dec = ctn.compose_decimal(data) if res_dec != data_json[data]: print("dec：\ttrain:" + data + "\ttrue:"+str(data_json[data])+ "\tpred:"+str(res_dec)) def judge_compose_integer(data_json): """测试整数""" ctn = chinese_to_number() for data in data_json.keys(): res_dec = ctn.compose_integer(data) if res_dec != data_json[data]: print("int：\ttrain:" + data + "\ttrue:"+str(data_json[data])+ "\tpred:"+str(res_dec)) if __name__=="__main__": ctn = chinese_to_number() ques = "点二八" print(ctn.compose_decimal(ques)) ###### 1.测试阿拉伯数字转中文 ###################################################### ntc = number_to_chinese() print(ntc.decimal_chinese(230000)) print(ntc.decimal_chinese(9000000000000000)) for i in range(1945, 2100): # print(ntc.decimal_chinese(i)) print(ntc.decimal_chinese(0.112354)) print(ntc.decimal_chinese(1024.112354))希望对你有所帮助! |
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