def set_bilingual_align_test(self):
"""
Set the bilingual alignment manually, and ensure that it is read back correctly.
"""
a = Alignment([(1,1),(1,2),(2,8),(4,3),(5,7),(6,5)])
set_bilingual_alignment(self.igt, trans(self.igt), glosses(self.igt), a, INTENT_ALN_MANUAL)
get_trans_glosses_alignment(self.igt, INTENT_ALN_MANUAL)
def gather_gloss_pos_stats(inst, subword_dict, feat_list):
"""
Given an instance, look for the gloss pos tags, and save the statistics
about them, so that we can filter by the number of times each kind was
seen later.
:param inst: Instance to process.
:type inst: RGIgt
:param subword_dict: This dictionary will record the number of times each (word, TAG)
pair has been seen.
:type subword_dict: SubwordDict
:param gram_tag_dict: This dictionary will record the number of times individual grams are seen.
:type gram_tag_dict: TwoLevelCountDict
"""
# Grab the gloss POS tier...
gpos_tier = gloss_tag_tier(inst)
lpos_tier = lang_tag_tier(inst)
gw_tier = gloss(inst)
if CLASS_FEATS_ALN in feat_list:
heur_align_inst(inst)
get_trans_glosses_alignment(inst, aln_method=INTENT_ALN_HEUR)
# If there are POS tags on the language line but not the gloss line...
if gpos_tier is None and lpos_tier is not None:
add_gloss_lang_alignments(inst)
project_lang_to_gloss(inst)
gpos_tier = gloss_tag_tier(inst)
# If this tier exists, then let's process it.
if gpos_tier is not None:
# Iterate over each gloss POS tag...
for i, gw in enumerate(gw_tier):
tag = xigt_find(inst, alignment=gw.id)
if tag is None:
continue
prev_word = gw_tier[i-1].value().lower() if i > 0 else None
next_word = gw_tier[i+1].value().lower() if i < len(gw_tier)-1 else None
if CLASS_FEATS_ALN in feat_list:
subword_dict.add_word_tag(gw.value().lower(), tag.value(), prev_word, next_word)
def giza_align_test(self):
new_c = copy_xigt(self.xc)
giza_align_t_g(new_c)
giza_aln = get_trans_glosses_alignment(new_c[0], aln_method=INTENT_ALN_GIZA)
print(giza_aln)
self.assertEqual(giza_aln, Alignment([(5, 7), (1, 1), (4, 3), (6, 5)]))
def heur_align_test(self):
new_c = copy_xigt(self.xc)
heur_align_corp(new_c)
aln = get_trans_glosses_alignment(new_c[0], aln_method=INTENT_ALN_HEUR)
a = Alignment([(5, 7), (6, 5), (1, 1), (4, 3)])
self.assertEquals(a, aln)
