def pronunciation_variants_corpus(textgrid_test_dir):
path = os.path.join(textgrid_test_dir, 'pronunc_variants_corpus.TextGrid')
annotypes = inspect_discourse_textgrid(path)
annotypes[0].attribute.name = 'spelling'
annotypes[1].attribute.name = 'transcription'
annotypes[2].attribute.name = 'transcription'
annotypes[2].token = True
return load_discourse_textgrid('test', path, annotypes)
def pronunciation_variants_corpus(textgrid_test_dir):
path = os.path.join(textgrid_test_dir, 'pronunc_variants_corpus.TextGrid')
annotypes = inspect_discourse_textgrid(path)
annotypes[0].attribute.name = 'spelling'
annotypes[1].attribute.name = 'transcription'
annotypes[2].attribute.name = 'transcription'
annotypes[2].token = True
return load_discourse_textgrid('test', path, annotypes)
def run(self):
time.sleep(0.1)
textType = self.kwargs.pop('text_type')
isDirectory = self.kwargs.pop('isDirectory')
logging.info('Importing {} corpus named {}'.format(
textType, self.kwargs['corpus_name']))
logging.info('Path: '.format(self.kwargs['path']))
log_annotation_types(self.kwargs['annotation_types'])
try:
if textType == 'spelling':
if isDirectory:
corpus = load_directory_spelling(**self.kwargs)
else:
corpus = load_discourse_spelling(**self.kwargs)
elif textType == 'transcription':
if isDirectory:
corpus = load_directory_transcription(**self.kwargs)
else:
corpus = load_discourse_transcription(**self.kwargs)
elif textType == 'ilg':
if isDirectory:
corpus = load_directory_ilg(**self.kwargs)
else:
corpus = load_discourse_ilg(**self.kwargs)
elif textType == 'textgrid':
if isDirectory:
corpus = load_directory_textgrid(**self.kwargs)
else:
corpus = load_discourse_textgrid(**self.kwargs)
elif textType == 'csv':
corpus = load_corpus_csv(**self.kwargs)
elif textType in ['buckeye', 'timit']:
self.kwargs['dialect'] = textType
if isDirectory:
corpus = load_directory_multiple_files(**self.kwargs)
else:
corpus = load_discourse_multiple_files(**self.kwargs)
except PCTError as e:
self.errorEncountered.emit(e)
return
except Exception as e:
e = PCTPythonError(e)
self.errorEncountered.emit(e)
return
if self.stopped:
time.sleep(0.1)
self.finishedCancelling.emit()
return
self.dataReady.emit(corpus)
def run(self):
time.sleep(0.1)
textType = self.kwargs.pop('text_type')
isDirectory = self.kwargs.pop('isDirectory')
logging.info('Importing {} corpus named {}'.format(textType, self.kwargs['corpus_name']))
logging.info('Path: '.format(self.kwargs['path']))
log_annotation_types(self.kwargs['annotation_types'])
try:
if textType == 'spelling':
if isDirectory:
corpus = load_directory_spelling(**self.kwargs)
else:
corpus = load_discourse_spelling(**self.kwargs)
elif textType == 'transcription':
if isDirectory:
corpus = load_directory_transcription(**self.kwargs)
else:
corpus = load_discourse_transcription(**self.kwargs)
elif textType == 'ilg':
if isDirectory:
corpus = load_directory_ilg(**self.kwargs)
else:
corpus = load_discourse_ilg(**self.kwargs)
elif textType == 'textgrid':
if isDirectory:
corpus = load_directory_textgrid(**self.kwargs)
else:
corpus = load_discourse_textgrid(**self.kwargs)
elif textType == 'csv':
corpus = load_corpus_csv(**self.kwargs)
elif textType in ['buckeye', 'timit']:
self.kwargs['dialect'] = textType
if isDirectory:
corpus = load_directory_multiple_files(**self.kwargs)
else:
corpus = load_discourse_multiple_files(**self.kwargs)
except PCTError as e:
self.errorEncountered.emit(e)
return
except Exception as e:
e = PCTPythonError(e)
self.errorEncountered.emit(e)
return
if self.stopped:
time.sleep(0.1)
self.finishedCancelling.emit()
return
self.dataReady.emit(corpus)
