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isleDict = isletool.LexicalTool(isleFN)
existFNList = utils.findFiles(outputPath, filterPaths=".txt")
for fn in utils.findFiles(tgInfoPath, filterExt=".txt",
skipIfNameInList=existFNList):
if os.path.exists(join(outputPath, fn)):
continue
print(fn)
dataList = utils.openCSV(tgInfoPath, fn)
dataList = [row[2] for row in dataList] # start, stop, tmpLabel
outputList = []
for tmpLabel in dataList:
if tmpLabel not in skipList:
syllableCount, phoneCount = isletool.getNumPhones(isleDict,
tmpLabel,
maxFlag=True)
else:
syllableCount, phoneCount = 0, 0
outputList.append("%d,%d" % (syllableCount, phoneCount))
outputTxt = "\n".join(outputList)
with open(join(outputPath, fn), "w") as fd:
fd.write(outputTxt)
print(firstSyllableList)
print(firstStressList) # 3rd syllable carries stress
# In the second example, we probe what words are in the dictionary
print('-' * 50)
wordList = ["another", "banana", "floplot"]
oodWordList = isletool.findOODWords(isleDict, wordList)
print("The following words are not in the dictionary")
print(oodWordList)
# In the third example, we see how many phones are in a pronunciation
print('-' * 50)
syllableCount, phoneCount = isletool.getNumPhones(isleDict,
"catatonic",
True)
print("%s: %d phones, %d syllables" % ("catatonic",
phoneCount,
syllableCount))
# In the fourth example, we try to find word pairs in the dictionary
# Once, found, they could be fed into findBestSyllabification() for
# example.
print('-' * 50)
sentenceList = ["another", "australian", "seal", "pumpkins", "parley"]
retList = isletool.autopair(isleDict, sentenceList)[0]
for sentence in retList:
print(sentence)