spaCy/spacy/training/align.pyx

73 lines
3.1 KiB
Cython

from typing import List, Tuple
from itertools import chain
import re
from ..errors import Errors
def get_alignments(A: List[str], B: List[str]) -> Tuple[List[List[int]], List[List[int]]]:
# Create character-to-token mappings
char_to_token_a = tuple(chain(*((i,) * len(x.lower()) for i, x in enumerate(A))))
char_to_token_b = tuple(chain(*((i,) * len(x.lower()) for i, x in enumerate(B))))
str_a = "".join(A).lower()
str_b = "".join(B).lower()
cdef int len_str_a = len(str_a)
cdef int len_str_b = len(str_b)
# Check that the two texts only differ in whitespace and capitalization
if re.sub(r"\s+", "", str_a) != re.sub(r"\s+", "", str_b) or \
len_str_a != len(char_to_token_a) or \
len_str_b != len(char_to_token_b):
raise ValueError(Errors.E949.format(x=str(A[:10]), y=str(B[:10])))
cdef int char_idx_a = 0
cdef int char_idx_b = 0
cdef int token_idx_a = 0
cdef int token_idx_b = 0
cdef int prev_token_idx_a = -1
cdef int prev_token_idx_b = -1
a2b = []
b2a = []
while char_idx_a < len_str_a and char_idx_b < len_str_b:
# Find the current token position from the character position
token_idx_a = char_to_token_a[char_idx_a]
token_idx_b = char_to_token_b[char_idx_b]
# Add a set for the next token if a token boundary has been crossed
if prev_token_idx_a != token_idx_a:
a2b.append(set())
if prev_token_idx_b != token_idx_b:
b2a.append(set())
# Process the alignment at the current position
if A[token_idx_a] == B[token_idx_b] and \
(char_idx_a == 0 or \
char_to_token_a[char_idx_a - 1] < token_idx_a) and \
(char_idx_b == 0 or \
char_to_token_b[char_idx_b - 1] < token_idx_b):
# Current tokens are identical and both character offsets are the
# start of a token (either at the beginning of the document or the
# previous character belongs to a different token)
a2b[-1].add(token_idx_b)
b2a[-1].add(token_idx_a)
char_idx_a += len(A[token_idx_a])
char_idx_b += len(B[token_idx_b])
elif str_a[char_idx_a] == str_b[char_idx_b]:
# Current chars are identical
a2b[-1].add(token_idx_b)
b2a[-1].add(token_idx_a)
char_idx_a += 1
char_idx_b += 1
elif str_a[char_idx_a].isspace():
# Skip unaligned whitespace char in A
char_idx_a += 1
elif str_b[char_idx_b].isspace():
# Skip unaligned whitespace char in B
char_idx_b += 1
else:
# This should never happen
raise ValueError(Errors.E949.format(x=str(A[:10]), y=str(B[:10])))
prev_token_idx_a = token_idx_a
prev_token_idx_b = token_idx_b
# Process unaligned trailing whitespace
a2b.extend([set()] * len(set(char_to_token_a[char_idx_a:])))
b2a.extend([set()] * len(set(char_to_token_b[char_idx_b:])))
# Return values as sorted lists per token position
return [sorted(x) for x in a2b], [sorted(x) for x in b2a]