def align_yields(p1, p2):
"""finds the best alignment of words from two passages
Note: this function is symetrical
consider using reverse_mapping instead of calling it twice
returns iterator of tuples (i,j)
mapping from i - p1 positions
to j - aligned p2 positions"""
positions1, positions2 = break2common_sentences(p1, p2)
terminals1 = extract_terminals(p1)
terminals2 = extract_terminals(p2)
# map the words in each sentence to each other
if len(positions1) == len(positions2):
mapping = set()
sentence_start1 = 0
sentence_start2 = 0
for i in range(len(positions1)):
sentence1 = terminals1[sentence_start1:positions1[i]]
sentence2 = terminals2[sentence_start2:positions2[i]]
for (j, k) in align(sentence1, sentence2, False)[1]:
if j != -1:
j += sentence_start1
if k != -1:
k += sentence_start2
mapping.add((j, k))
sentence_start1 = positions1[i]
sentence_start2 = positions2[i]
return mapping
else:
print("Error number of sentences aqquired from break2common_sentences dow not match")
def align_yields(p1, p2):
"""finds the best alignment of words from two passages
Note: this function is symetrical
consider using reverse_mapping instead of calling it twice
returns iterator of tuples (i,j)
mapping from i - p1 positions
to j - aligned p2 positions"""
positions1, positions2 = break2common_sentences(p1, p2)
terminals1 = extract_terminals(p1)
terminals2 = extract_terminals(p2)
# map the words in each sentence to each other
if len(positions1) == len(positions2):
mapping = set()
sentence_start1 = 0
sentence_start2 = 0
for i in range(len(positions1)):
sentence1 = terminals1[sentence_start1:positions1[i]]
sentence2 = terminals2[sentence_start2:positions2[i]]
for (j, k) in align(sentence1, sentence2, False)[1]:
if j != -1:
j += sentence_start1
if k != -1:
k += sentence_start2
mapping.add((j, k))
sentence_start1 = positions1[i]
sentence_start2 = positions2[i]
return mapping
else:
print(
"Error number of sentences aqquired from break2common_sentences dow not match"
)
def get_lowest_fn(p):
""" finds the FN that has terminals as children"""
s = set()
for term in extract_terminals(p):
s.update([
edge.parent for edge in term.incoming
if is_foundational(edge.parent)
])
return s
def get_lowest_FN(p): """ finds the FN that has terminals as children""" s = set() for term in extract_terminals(p): s.update([edge.parent for edge in term.incoming if is_foundational(edge.parent)]) return s
