Spaces:
Sleeping
Sleeping
File size: 3,333 Bytes
3b58a97 |
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 |
#!/usr/bin/env python
# coding: utf-8
# In[7]:
import re
def replace_words(sentence):
# Define a dictionary mapping a single word to a list of words or phrases
replacement_map = {
# Multiples of ten
'twenty': [],
'thirty': [],
'forty': [],
'fifty': [],
'sixty': [],
'seventy': [],
'eighty': [],
'ninety': [],
# Numbers from 11 to 19
'eleven': [],
'twelve': [],
'thirteen': [],
'fourteen': [],
'fifteen': [],
'sixteen': [],
'seventeen': [],
'eighteen': [],
'nineteen': [],
# Numbers from 21 to 29
'twenty one': [],
'twenty two': [],
'twenty three': [],
'twenty four': [],
'twenty five': [],
'twenty six': [],
'twenty seven': [],
'twenty eight': [],
'twenty nine': [],
# Numbers from 31 to 39
'thirty one': [],
'thirty two': [],
'thirty three': [],
'thirty four': [],
'thirty five': [],
'thirty six': [],
'thirty seven': [],
'thirty eight': [],
'thirty nine': [],
# Numbers from 41 to 49
'forty one': [],
'forty two': [],
'forty three': [],
'forty four': [],
'forty five': [],
'forty six': [],
'forty seven': [],
'forty eight': [],
'forty nine': [],
# Numbers from 51 to 59
'fifty one': [],
'fifty two': [],
'fifty three': [],
'fifty four': [],
'fifty five': [],
'fifty six': [],
'fifty seven': [],
'fifty eight': [],
'fifty nine': [],
# Numbers from 61 to 69
'sixty one': [],
'sixty two': [],
'sixty three': [],
'sixty four': [],
'sixty five': [],
'sixty six': [],
'sixty seven': [],
'sixty eight': [],
'sixty nine': [],
# Numbers from 71 to 79
'seventy one': [],
'seventy two': [],
'seventy three': [],
'seventy four': [],
'seventy five': [],
'seventy six': [],
'seventy seven': [],
'seventy eight': [],
'seventy nine': [],
# Numbers from 81 to 89
'eighty one': [],
'eighty two': [],
'eighty three': [],
'eighty four': [],
'eighty five': [],
'eighty six': [],
'eighty seven': [],
'eighty eight': [],
'eighty nine': [],
# Numbers from 91 to 99
'ninety one': [],
'ninety two': [],
'ninety three': [],
'ninety four': [],
'ninety five': [],
'ninety six': [],
'ninety seven': [],
'ninety eight': [],
'ninety nine': [],
# Numbers from one to ten
'seven': [],
'zero': [],
'one': [],
'two': [],
'three': [],
'four': [],
'five': [],
'six': [],
'eight': [],
'nine': [],
'ten': [],
# Hundred
'hundred': [],
# Thousand
'thousand' : [],
# Lakhs
'lakh' : ['lac','lach','laq','lak'],
}
words = sentence.split() # Split the sentence by spaces
# Replace words using the mapping
for i, word in enumerate(words):
for replacement, patterns in replacement_map.items():
if word in patterns:
words[i] = replacement # Replace the word if it's fully matched
# Join the processed words back into a sentence
return ' '.join(words)
# In[ ]:
|