def get_features(self, context_obj):
idx_left = context_obj['index'][0]
idx_right = context_obj['index'][1]
left_ngram = left_context(context_obj['target'],
context_obj['token'][0],
context_size=self.order - 1,
idx=idx_left) + [context_obj['token'][0]]
right_ngram = [context_obj['token'][-1]] + right_context(
context_obj['target'],
context_obj['token'][-1],
context_size=self.order - 1,
idx=idx_right)
left_ngram_order = self.check_lm(left_ngram, side='left')
right_ngram_order = self.check_lm(right_ngram, side='right')
left_trigram = left_context(context_obj['target'],
context_obj['token'][0],
context_size=2,
idx=idx_left) + [context_obj['token'][0]]
right_trigram = [context_obj['token'][-1]] + right_context(
context_obj['target'],
context_obj['token'][-1],
context_size=2,
idx=idx_right)
backoff_left = self.get_backoff(left_trigram)
backoff_right = self.get_backoff(right_trigram)
return [
left_ngram_order, right_ngram_order, backoff_left, backoff_right
]
def get_features(self, context_obj):
if 'target_pos' not in context_obj:
raise NoDataError('target_pos', context_obj,
'POSContextFeatureExtractor')
if 'source_pos' not in context_obj:
raise NoDataError('source_pos', context_obj,
'POSContextFeatureExtractor')
left_src = left_context(
context_obj['source_pos'],
context_obj['source_pos'][context_obj['source_index'][0]],
context_size=1,
idx=context_obj['source_index'][0])
right_src = right_context(
context_obj['source_pos'],
context_obj['source_pos'][context_obj['source_index'][1] - 1],
context_size=1,
idx=context_obj['source_index'][1] - 1)
left_tg = left_context(
context_obj['target_pos'],
context_obj['target_pos'][context_obj['index'][0]],
context_size=1,
idx=context_obj['index'][0])
return [left_src[0], right_src[0], left_tg[0]]
def get_features(self, context_obj):
if 'source_token' in context_obj and len(
context_obj['source_token']) > 0 and len(
context_obj['source_index']) > 1:
try:
left_src = left_context(context_obj['source'],
context_obj['source_token'][0],
context_size=1,
idx=context_obj['source_index'][0])
except IndexError:
print(context_obj['source'])
print(context_obj['source_token'])
print(context_obj['source_index'])
sys.exit()
right_src = right_context(context_obj['source'],
context_obj['source_token'][-1],
context_size=1,
idx=context_obj['source_index'][1] - 1)
else:
left_src = ""
right_src = ""
left_tg = left_context(context_obj['target'],
context_obj['token'][0],
context_size=1,
idx=context_obj['index'][0])
right_tg = right_context(context_obj['target'],
context_obj['token'][-1],
context_size=1,
idx=context_obj['index'][1] - 1)
return [left_src[0], right_src[0], left_tg[0], right_tg[0]]
def get_features(self, context_obj):
idx = context_obj['index']
left_ngram = left_context(context_obj['target'], context_obj['token'], context_size=self.order-1, idx=idx) + [context_obj['token']]
left_ngram_order = self.check_lm(left_ngram, side='left')
left_trigram = left_context(context_obj['target'], context_obj['token'], context_size=2, idx=idx) + [context_obj['token']]
backoff_left = self.get_backoff(left_trigram)
return [left_ngram_order, backoff_left]
def get_features(self, context_obj):
if 'source_token' in context_obj:
left_src = left_context(context_obj['source'], context_obj['source_token'][0], context_size=1, idx=context_obj['source_index'][0])
right_src = right_context(context_obj['source'], context_obj['source_token'][-1], context_size=1, idx=context_obj['source_index'][1]-1)
else:
left_src = ""
right_src = ""
left_tg = left_context(context_obj['target'], context_obj['token'][0], context_size=1, idx=context_obj['index'][0])
right_tg = right_context(context_obj['target'], context_obj['token'][-1], context_size=1, idx=context_obj['index'][1]-1)
return [left_src[0], right_src[0], left_tg[0], right_tg[0]]
def get_features(self, context_obj):
if 'target_pos' not in context_obj:
raise NoDataError('target_pos', context_obj, 'POSContextFeatureExtractor')
if 'source_pos' not in context_obj:
raise NoDataError('source_pos', context_obj, 'POSContextFeatureExtractor')
left_src = left_context(context_obj['source_pos'], context_obj['source_pos'][context_obj['source_index'][0]], context_size=1, idx=context_obj['source_index'][0])
right_src = right_context(context_obj['source_pos'], context_obj['source_pos'][context_obj['source_index'][1]-1], context_size=1, idx=context_obj['source_index'][1]-1)
left_tg = left_context(context_obj['target_pos'], context_obj['target_pos'][context_obj['index'][0]], context_size=1, idx=context_obj['index'][0])
return [left_src[0], right_src[0], left_tg[0]]
def get_features(self, context_obj):
#sys.stderr.write("Start ContextLeftFeatureExtractor\n")
if 'source_token' in context_obj:
left_src = left_context(context_obj['source'], context_obj['source_token'][0], context_size=1, idx=context_obj['source_index'][0])
right_src = right_context(context_obj['source'], context_obj['source_token'][-1], context_size=1, idx=context_obj['source_index'][1]-1)
else:
left_src = ""
right_src = ""
left_tg = left_context(context_obj['target'], context_obj['token'][0], context_size=1, idx=context_obj['index'][0])
#sys.stderr.write("Finish ContextLeftFeatureExtractor\n")
return [left_src[0], right_src[0], left_tg[0]]
def get_features(self, context_obj):
#sys.stderr.write("Start ContextLMLeftFeatureExtractor\n")
idx_left = context_obj['index'][0]
idx_right = context_obj['index'][1]
left_ngram = left_context(context_obj['target'], context_obj['token'][0], context_size=self.order-1, idx=idx_left) + [context_obj['token'][0]]
left_ngram_order = self.check_lm(left_ngram, side='left')
left_trigram = left_context(context_obj['target'], context_obj['token'][0], context_size=2, idx=idx_left) + [context_obj['token'][0]]
backoff_left = self.get_backoff(left_trigram)
#sys.stderr.write("Finish ContextLMLeftFeatureExtractor\n")
return [str(left_ngram_order), str(backoff_left)]
def get_features(self, context_obj):
idx_left = context_obj['index'][0]
idx_right = context_obj['index'][1]
left_ngram = left_context(context_obj['target'], context_obj['token'][0], context_size=self.order-1, idx=idx_left) + [context_obj['token'][0]]
right_ngram = [context_obj['token'][-1]] + right_context(context_obj['target'], context_obj['token'][-1], context_size=self.order-1, idx=idx_right)
left_ngram_order = self.check_lm(left_ngram, side='left')
right_ngram_order = self.check_lm(right_ngram, side='right')
left_trigram = left_context(context_obj['target'], context_obj['token'][0], context_size=2, idx=idx_left) + [context_obj['token'][0]]
right_trigram = [context_obj['token'][-1]] + right_context(context_obj['target'], context_obj['token'][-1], context_size=2, idx=idx_right)
backoff_left = self.get_backoff(left_trigram)
backoff_right = self.get_backoff(right_trigram)
return [left_ngram_order, right_ngram_order, backoff_left, backoff_right]
def get_features(self, context_obj):
if 'source' not in context_obj:
raise NoDataError('source', context_obj, 'SourceLMFeatureExtractor')
if 'alignments' not in context_obj:
raise NoDataError('alignments', context_obj, 'SourceLMFeatureExtractor')
align = sorted(context_obj['alignments'][context_obj['index']])
# unaligned
if align == []:
return [0, 0]
idx_first = align[0]
idx_last = align[-1]
words_number = idx_last - idx_first
tokens = context_obj['source'][idx_first:idx_last+1]
left_ngram = left_context(context_obj['source'], tokens[0], context_size=self.order-1-words_number, idx=idx_first) + tokens
right_ngram = tokens + right_context(context_obj['source'], tokens[-1], context_size=self.order-1-words_number, idx=idx_last)
left_ngram_order = self.check_lm(left_ngram, side='left')
right_ngram_order = self.check_lm(right_ngram, side='right')
# left_trigram = left_context(context_obj['target'], context_obj['token'], context_size=2, idx=idx) + [context_obj['token']]
# middle_trigram = extract_window(context_obj['target'], context_obj['token'], idx=idx)
# right_trigram = [context_obj['token']] + right_context(context_obj['target'], context_obj['token'], context_size=2, idx=idx)
#
# backoff_left = self.get_backoff(left_trigram)
# backoff_middle = self.get_backoff(middle_trigram)
# backoff_right = self.get_backoff(right_trigram)
# return [left_ngram_order, right_ngram_order, backoff_left, backoff_middle, backoff_right]
return [left_ngram_order, right_ngram_order]
def get_features(self, context_obj):
token = context_obj['token']
left = ' '.join(
left_context(context_obj['target'],
token,
context_size=1,
idx=context_obj['index']))
right = ' '.join(
right_context(context_obj['target'],
token,
context_size=1,
idx=context_obj['index']))
tg_pos = context_obj['target_pos'][
context_obj['index']] if context_obj['target_pos'] != [] else ''
align_idx = context_obj['alignments'][context_obj['index']]
if align_idx is None:
src_token = '__unaligned__'
src_pos = '__unaligned__'
else:
src_token = context_obj['source'][align_idx]
src_pos = context_obj['source_pos'][align_idx]
return [
token + '|' + left, token + '|' + right, token + '|' + src_token,
tg_pos + '|' + src_pos
]
def get_features(self, context_obj):
idx = context_obj['index']
left_ngram = left_context(context_obj['target'],
context_obj['token'],
context_size=self.order - 1,
idx=idx) + [context_obj['token']]
left_ngram_order = self.check_lm(left_ngram, side='left')
left_trigram = left_context(context_obj['target'],
context_obj['token'],
context_size=2,
idx=idx) + [context_obj['token']]
backoff_left = self.get_backoff(left_trigram)
return [left_ngram_order, backoff_left]
def get_features(self, context_obj):
if 'source' not in context_obj or context_obj['source'] is None:
raise NoDataError('source', context_obj, 'AlignmentFeatureExtractor')
if 'target' not in context_obj or context_obj['source'] is None or context_obj['target'] is None:
raise NoDataError('target', context_obj, 'AlignmentFeatureExtractor')
if 'alignments' not in context_obj:
raise NoDataError('alignments', context_obj, 'AlignmentFeatureExtractor')
# if self.model == '':
# raise NoDataError('alignments', context_obj, 'AlignmentFeatureExtractor')
# context_obj['alignments'] = align_sentence(context_obj['source'], context_obj['target'], self.model)
# source word(s)
try:
align_idx = context_obj['alignments'][context_obj['index']]
except IndexError:
print("{} items in the alignment, needed {}-th".format(len(context_obj['alignments']), context_obj['index']))
print(context_obj['alignments'], context_obj['target'], context_obj['source'])
sys.exit()
# if word is unaligned - no source and no source contexts
if align_idx == None:
return ['__unaligned__', '|'.join(['__unaligned__' for i in range(self.context_size)]), '|'.join(['__unaligned__' for i in range(self.context_size)])]
# TODO: find contexts for all words aligned to the token (now only 1st word)
else:
left = '|'.join(left_context(context_obj['source'], context_obj['source'][align_idx], context_size=self.context_size, idx=align_idx))
right = '|'.join(right_context(context_obj['source'], context_obj['source'][align_idx], context_size=self.context_size, idx=align_idx))
aligned_to = context_obj['source'][align_idx]
return [aligned_to, left, right]
def get_features(self, context_obj):
idx = context_obj['index']
left_ngram = left_context(context_obj['target'], context_obj['token'], context_size=self.order-1, idx=idx) + [context_obj['token']]
right_ngram = [context_obj['token']] + right_context(context_obj['target'], context_obj['token'], context_size=self.order-1, idx=idx)
left_ngram_order = self.check_lm(left_ngram, side='left')
right_ngram_order = self.check_lm(right_ngram, side='right')
left_trigram = left_context(context_obj['target'], context_obj['token'], context_size=2, idx=idx) + [context_obj['token']]
middle_trigram = extract_window(context_obj['target'], context_obj['token'], idx=idx)
right_trigram = [context_obj['token']] + right_context(context_obj['target'], context_obj['token'], context_size=2, idx=idx)
backoff_left = self.get_backoff(left_trigram)
backoff_middle = self.get_backoff(middle_trigram)
backoff_right = self.get_backoff(right_trigram)
return [left_ngram_order, right_ngram_order, backoff_left, backoff_middle, backoff_right]
def get_features(self, context_obj):
if 'source_token' in context_obj and len(context_obj['source_token']) > 0 and len(context_obj['source_index']) > 1:
try:
left_src = left_context(context_obj['source'], context_obj['source_token'][0], context_size=1, idx=context_obj['source_index'][0])
except IndexError:
print(context_obj['source'])
print(context_obj['source_token'])
print(context_obj['source_index'])
sys.exit()
right_src = right_context(context_obj['source'], context_obj['source_token'][-1], context_size=1, idx=context_obj['source_index'][1]-1)
else:
left_src = ""
right_src = ""
left_tg = left_context(context_obj['target'], context_obj['token'][0], context_size=1, idx=context_obj['index'][0])
right_tg = right_context(context_obj['target'], context_obj['token'][-1], context_size=1, idx=context_obj['index'][1]-1)
return [left_src[0], right_src[0], left_tg[0], right_tg[0]]
def get_features(self, context_obj):
token = context_obj['token']
left = ' '.join(
left_context(context_obj['target'],
token,
context_size=self.context_size,
idx=context_obj['index']))
return [token, left]
def get_features(self, context_obj):
token = context_obj['token']
left = ' '.join(left_context(context_obj['target'], token, context_size=1, idx=context_obj['index']))
align_idx = context_obj['alignments'][context_obj['index']]
if align_idx is None:
aligned_to = '__unaligned__'
else:
aligned_to = context_obj['source'][align_idx]
return [token + '|' + left + '|' + aligned_to]
def get_features(self, context_obj):
#sys.stderr.write("Start ContextLMLeftFeatureExtractor\n")
idx_left = context_obj['index'][0]
idx_right = context_obj['index'][1]
left_ngram = left_context(context_obj['target'],
context_obj['token'][0],
context_size=self.order - 1,
idx=idx_left) + [context_obj['token'][0]]
left_ngram_order = self.check_lm(left_ngram, side='left')
left_trigram = left_context(context_obj['target'],
context_obj['token'][0],
context_size=2,
idx=idx_left) + [context_obj['token'][0]]
backoff_left = self.get_backoff(left_trigram)
#sys.stderr.write("Finish ContextLMLeftFeatureExtractor\n")
return [str(left_ngram_order), str(backoff_left)]
def get_features(self, context_obj):
token = context_obj['token']
left = ' '.join(left_context(context_obj['target'], token, context_size=1, idx=context_obj['index']))
tg_pos = context_obj['target_pos'][context_obj['index']] if context_obj['target_pos'] != [] else ''
align_idx = context_obj['alignments'][context_obj['index']]
if align_idx is None:
src_token = '__unaligned__'
src_pos = '__unaligned__'
else:
src_token = context_obj['source'][align_idx]
src_pos = context_obj['source_pos'][align_idx]
return [token + '|' + left, token + '|' + src_token, tg_pos + '|' + src_pos]
def get_features(self, context_obj):
idx = context_obj['index']
left_ngram = left_context(context_obj['target'],
context_obj['token'],
context_size=self.order - 1,
idx=idx) + [context_obj['token']]
right_ngram = [context_obj['token']] + right_context(
context_obj['target'],
context_obj['token'],
context_size=self.order - 1,
idx=idx)
left_ngram_order = self.check_lm(left_ngram, side='left')
right_ngram_order = self.check_lm(right_ngram, side='right')
left_trigram = left_context(context_obj['target'],
context_obj['token'],
context_size=2,
idx=idx) + [context_obj['token']]
middle_trigram = extract_window(context_obj['target'],
context_obj['token'],
idx=idx)
right_trigram = [context_obj['token']] + right_context(
context_obj['target'],
context_obj['token'],
context_size=2,
idx=idx)
# TODO: instead of _START_ there should be <s>
backoff_left = self.get_backoff(left_trigram)
backoff_middle = self.get_backoff(middle_trigram)
backoff_right = self.get_backoff(right_trigram)
return [
left_ngram_order, right_ngram_order, backoff_left, backoff_middle,
backoff_right
]
def get_features(self, context_obj):
token = context_obj['token']
left = ' '.join(
left_context(context_obj['target'],
token,
context_size=1,
idx=context_obj['index']))
align_idx = context_obj['alignments'][context_obj['index']]
if align_idx is None:
aligned_to = '__unaligned__'
else:
aligned_to = context_obj['source'][align_idx]
return [token + '|' + left + '|' + aligned_to]
def get_features(self, context_obj):
if 'source' not in context_obj or context_obj['source'] is None:
raise NoDataError('source', context_obj,
'AlignmentFeatureExtractor')
if 'target' not in context_obj or context_obj[
'source'] is None or context_obj['target'] is None:
raise NoDataError('target', context_obj,
'AlignmentFeatureExtractor')
if 'alignments' not in context_obj:
raise NoDataError('alignments', context_obj,
'AlignmentFeatureExtractor')
# if self.model == '':
# raise NoDataError('alignments', context_obj, 'AlignmentFeatureExtractor')
# context_obj['alignments'] = align_sentence(context_obj['source'], context_obj['target'], self.model)
# source word(s)
try:
align_idx = context_obj['alignments'][context_obj['index']]
except IndexError:
print("{} items in the alignment, needed {}-th".format(
len(context_obj['alignments']), context_obj['index']))
print(context_obj['alignments'], context_obj['target'],
context_obj['source'])
sys.exit()
# if word is unaligned - no source and no source contexts
if align_idx == None:
return [
'__unaligned__',
'|'.join(['__unaligned__' for i in range(self.context_size)]),
'|'.join(['__unaligned__' for i in range(self.context_size)])
]
# TODO: find contexts for all words aligned to the token (now only 1st word)
else:
left = '|'.join(
left_context(context_obj['source'],
context_obj['source'][align_idx],
context_size=self.context_size,
idx=align_idx))
right = '|'.join(
right_context(context_obj['source'],
context_obj['source'][align_idx],
context_size=self.context_size,
idx=align_idx))
aligned_to = context_obj['source'][align_idx]
return [aligned_to, left, right]
def get_features(self, context_obj):
if 'source' not in context_obj:
raise NoDataError('source', context_obj, 'SourceLMFeatureExtractor')
if 'alignments' not in context_obj:
raise NoDataError('alignments', context_obj, 'SourceLMFeatureExtractor')
align_idx = context_obj['alignments'][context_obj['index']]
# unaligned
if align_idx is None:
return [0, 0]
align_token = context_obj['source'][align_idx]
left_ngram = left_context(context_obj['source'], align_token, context_size=2, idx=align_idx) + [align_token]
right_ngram = [align_token] + right_context(context_obj['source'], align_token, context_size=2, idx=align_idx)
left_ngram_order = self.check_lm(left_ngram, side='left')
right_ngram_order = self.check_lm(right_ngram, side='right')
return [left_ngram_order, right_ngram_order]
def get_features(self, context_obj):
if 'source' not in context_obj:
raise NoDataError('source', context_obj,
'SourceLMFeatureExtractor')
if 'alignments' not in context_obj:
raise NoDataError('alignments', context_obj,
'SourceLMFeatureExtractor')
align_idx = context_obj['alignments'][context_obj['index']]
# unaligned
if align_idx is None:
return [0, 0]
align_token = context_obj['source'][align_idx]
left_ngram = left_context(
context_obj['source'], align_token, context_size=2,
idx=align_idx) + [align_token]
right_ngram = [align_token] + right_context(
context_obj['source'], align_token, context_size=2, idx=align_idx)
left_ngram_order = self.check_lm(left_ngram, side='left')
right_ngram_order = self.check_lm(right_ngram, side='right')
return [left_ngram_order, right_ngram_order]
def get_features(self, context_obj):
if 'source' not in context_obj or context_obj['source'] is None:
raise NoDataError('source', context_obj, 'AlignmentFeatureExtractor')
if 'target' not in context_obj or context_obj['source'] is None or context_obj['target'] is None:
raise NoDataError('target', context_obj, 'AlignmentFeatureExtractor')
if 'alignments' not in context_obj:
if self.model == '':
raise NoDataError('alignments', context_obj, 'AlignmentFeatureExtractor')
context_obj['alignments'] = align_sentence(context_obj['source'], context_obj['target'], self.model)
# source word(s)
source_nums = sorted(context_obj['alignments'][context_obj['index']])
# if word is unaligned - no source and no source contexts
if source_nums == []:
return ['__unaligned__', '|'.join(['__unaligned__' for i in range(self.context_size)]), '|'.join(['__unaligned__' for i in range(self.context_size)])]
# TODO: find contexts for all words aligned to the token (now only 1st word)
else:
left = '|'.join(left_context(context_obj['source'], context_obj['source'][source_nums[0]], context_size=self.context_size, idx=source_nums[0]))
right = '|'.join(right_context(context_obj['source'], context_obj['source'][source_nums[-1]], context_size=self.context_size, idx=source_nums[-1]))
aligned_to = '|'.join([context_obj['source'][i] for i in source_nums])
return [aligned_to, left, right]
def test_left_context(self):
sen_str = 'this is a test sentence.'
sen = word_tokenize(sen_str.lower())
test_token = 'is'
left_context = ngram_window_extractor.left_context(sen, test_token, context_size=3)
self.assertListEqual(left_context, ['_START_', '_START_', 'this'], 'left_context should prepend _START_ tokens')
def get_features(self, context_obj):
token = context_obj['token']
left = ' '.join(left_context(context_obj['target'], token, context_size=self.context_size, idx=context_obj['index']))
return [token, left]
