本文整理汇总了Python中Dictionary.Dictionary.bestEnglishWordForSpanishWordToken方法的典型用法代码示例。如果您正苦于以下问题：Python Dictionary.bestEnglishWordForSpanishWordToken方法的具体用法？Python Dictionary.bestEnglishWordForSpanishWordToken怎么用？Python Dictionary.bestEnglishWordForSpanishWordToken使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Dictionary.Dictionary的用法示例。
在下文中一共展示了Dictionary.bestEnglishWordForSpanishWordToken方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
# 需要导入模块: from Dictionary import Dictionary [as 别名]
# 或者: from Dictionary.Dictionary import bestEnglishWordForSpanishWordToken [as 别名]
class ModifiedTranslator:
def __init__(self):
self.dictionary = Dictionary()
# Pre processing strategies
def createWordLookup(self, foreignSentence):
corpus = Corpus()
tokenDictList = []
"""Captures only words, no spaces/punctuation"""
spanishTokens = re.compile('(\W+)', re.UNICODE).split(unicode(foreignSentence, 'utf-8'))
spanishTokens.pop()
for idx, token in enumerate(spanishTokens):
tokenDict = dict()
tokenDict['originalToken'] = token
tokenDict['spanish_POS'] = corpus.spanishTags().get(token, None)
if (len(token) > 0):
if token[0].isupper():
tokenDict['upper'] = True
else:
tokenDict['upper'] = False
else:
tokenDict['upper'] = False
tokenDictList.append(tokenDict)
self.tokenDictList = tokenDictList
def translateSentence(self, foreignSentence):
# Pre processing
self.createWordLookup(foreignSentence)
# Translation
translatedSentence = ""
for spanishToken in self.tokenDictList:
originalToken = spanishToken['originalToken']
translatedWord = self.dictionary.bestEnglishWordForSpanishWordToken(spanishToken)
if translatedWord:
spanishToken['translatedToken'] = translatedWord
else:
spanishToken['translatedToken'] = originalToken
# Post processing
# Strategies
# 1 - Preserve capitalization
self.capitalizeWords()
# 2 - Flip object pronouns (gave him -> le dio vs dio le)
self.flipObjectPronouns()
# 3 - Flip adjectives and nouns (whole book -> libro entero vs entero libro)
self.flipAdjectivesAndNouns()
#4 - For infinitive, future, and conditional verbs, insert 'to', 'will', and 'would respectively'
self.correctVerbForm()
# Eventually turn into a sentence
for token in self.tokenDictList:
translatedToken = token['translatedToken']
translatedSentence = translatedSentence + translatedToken
return translatedSentence
# Post processing strategies
def capitalizeWords(self):
for token in self.tokenDictList:
if token['upper']:
translatedToken = token['translatedToken']
shouldCapitalize = True
if (len(translatedToken) > 1):
if translatedToken[1].isupper():
shouldCapitalize = False
if shouldCapitalize:
token['translatedToken'] = translatedToken.capitalize()
def flipObjectPronouns(self):
objectPronoun = None
verb = None
# find an object pronoun
for idx, token in enumerate(self.tokenDictList):
spanishPOS = token['spanish_POS']
if spanishPOS:
if (spanishPOS[0] == 'p') and (spanishPOS[1] == 'p'):
possibleVerbTokenIndex = idx + 2
if (len(self.tokenDictList) > possibleVerbTokenIndex):
possibleVerbToken = self.tokenDictList[possibleVerbTokenIndex]
possibleVerbTag = possibleVerbToken['spanish_POS']
if (possibleVerbTag and (possibleVerbTag[0] == 'v')):
objectPronoun = token
verb = possibleVerbToken
if (objectPronoun and verb):
idx1, idx2 = self.tokenDictList.index(objectPronoun), self.tokenDictList.index(verb)
self.tokenDictList[idx2], self.tokenDictList[idx1] = self.tokenDictList[idx1], self.tokenDictList[idx2]
def flipAdjectivesAndNouns(self):
noun = None
#.........这里部分代码省略.........