Python/other/detecting_english_programmatically.py
Mickaël Schoentgen 2d70e9f747 Fix ResourceWarning: unclosed file (#681)
Signed-off-by: Mickaël Schoentgen <contact@tiger-222.fr>
2019-01-08 16:59:23 +08:00

55 lines
1.4 KiB
Python

import os
UPPERLETTERS = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
LETTERS_AND_SPACE = UPPERLETTERS + UPPERLETTERS.lower() + ' \t\n'
def loadDictionary():
path = os.path.split(os.path.realpath(__file__))
englishWords = {}
with open(path[0] + '/Dictionary.txt') as dictionaryFile:
for word in dictionaryFile.read().split('\n'):
englishWords[word] = None
return englishWords
ENGLISH_WORDS = loadDictionary()
def getEnglishCount(message):
message = message.upper()
message = removeNonLetters(message)
possibleWords = message.split()
if possibleWords == []:
return 0.0
matches = 0
for word in possibleWords:
if word in ENGLISH_WORDS:
matches += 1
return float(matches) / len(possibleWords)
def removeNonLetters(message):
lettersOnly = []
for symbol in message:
if symbol in LETTERS_AND_SPACE:
lettersOnly.append(symbol)
return ''.join(lettersOnly)
def isEnglish(message, wordPercentage = 20, letterPercentage = 85):
"""
>>> isEnglish('Hello World')
True
>>> isEnglish('llold HorWd')
False
"""
wordsMatch = getEnglishCount(message) * 100 >= wordPercentage
numLetters = len(removeNonLetters(message))
messageLettersPercentage = (float(numLetters) / len(message)) * 100
lettersMatch = messageLettersPercentage >= letterPercentage
return wordsMatch and lettersMatch
import doctest
doctest.testmod()