def naacl_to_xigt(naacl_path):
"""
Convert the NAACL format to XIGT.
:param naacl_path:
"""
content = open(naacl_path, 'r').read()
# First, collect all the instances.
instances = re.findall('Igt_id[\s\S]+?Q6.*Answer', content)
xc = XigtCorpus()
for instance_txt in instances:
# id = re.search('Igt_id=([\S]+)', instance_txt).group(1)
inst = Igt(id='i{}'.format(len(xc)))
lang_raw, gloss_raw, trans_raw = instance_txt.split('\n')[1:4]
# Now, create the raw tier...
raw_tier = Tier(id=gen_tier_id(inst, 'r'), type='odin', attributes={STATE_ATTRIBUTE:RAW_STATE})
raw_tier.append(Item(id=ask_item_id(raw_tier), text=lang_raw, attributes={ODIN_TAG_ATTRIBUTE:ODIN_LANG_TAG}))
raw_tier.append(Item(id=ask_item_id(raw_tier), text=gloss_raw, attributes={ODIN_TAG_ATTRIBUTE:ODIN_GLOSS_TAG}))
raw_tier.append(Item(id=ask_item_id(raw_tier), text=trans_raw, attributes={ODIN_TAG_ATTRIBUTE:ODIN_TRANS_TAG}))
inst.append(raw_tier)
xc.append(inst)
# Generate the clean/normal tiers, but without any cleaning.
generate_normal_tier(inst, clean=False)
# Lang Dependency representation handling...
lang_ds_str = re.search('Q6:([\s\S]+?)Q6:', instance_txt).group(1)
lang_ds_lines = lang_ds_str.split('\n')[5:-3]
try:
lang_dt = parse_naacl_dep(lang(inst), lang_ds_lines)
create_dt_tier(inst, lang_dt, lang(inst), parse_method=INTENT_POS_MANUAL)
except TreeError as te:
pass
except IndexError as ie:
pass
# Eng DS handling...
eng_ds_str = re.search('Q3:([\s\S]+?)Q3:', instance_txt).group(1)
eng_ds_lines = eng_ds_str.split('\n')[2:-3]
try:
eng_dt = parse_naacl_dep(trans(inst), eng_ds_lines)
create_dt_tier(inst, eng_dt, trans(inst), parse_method=INTENT_POS_MANUAL)
except TreeError as te:
pass
except IndexError as ie:
pass
except ValueError as ve:
pass
# Add Alignment...
biling_aln_str = re.search('Q5:([\s\S]+?)Q5:', instance_txt).group(1)
biling_aln_lines = biling_aln_str.split('\n')[4:-3]
trans_offset = trans_raw.startswith(' ')
gloss_offset = gloss_raw.startswith(' ')
try:
a = Alignment()
for line in biling_aln_lines:
gloss_s, trans_s = line.split()[0:2]
if '.' in gloss_s:
continue
gloss_i = int(gloss_s)
for trans_token in trans_s.split(','):
trans_i = int(trans_token)
if trans_i == 0:
continue
else:
if trans_offset:
trans_i -= 1
if gloss_offset:
gloss_i -= 1
a.add((trans_i, gloss_i))
except:
pass
set_bilingual_alignment(inst, trans(inst), gloss(inst), a, aln_method=INTENT_ALN_MANUAL)
return xc
def normal_tier(self, clean=True, generate=True):
return generate_normal_tier(self, clean, generate)
