mirror of https://github.com/explosion/spaCy.git
110 lines
3.2 KiB
Python
110 lines
3.2 KiB
Python
import os
|
|
from os import path
|
|
import codecs
|
|
import ujson
|
|
import re
|
|
|
|
DATA_DIR = path.join(path.dirname(__file__), '..', 'data')
|
|
|
|
|
|
def utf8open(loc, mode='r'):
|
|
return codecs.open(loc, mode, 'utf8')
|
|
|
|
|
|
def read_lang_data(data_dir):
|
|
with open(path.join(data_dir, 'specials.json')) as file_:
|
|
tokenization = ujson.load(file_)
|
|
prefix = read_prefix(data_dir)
|
|
suffix = read_suffix(data_dir)
|
|
infix = read_infix(data_dir)
|
|
return tokenization, prefix, suffix, infix
|
|
|
|
|
|
def read_prefix(data_dir):
|
|
with utf8open(path.join(data_dir, 'prefix')) as file_:
|
|
entries = file_.read().split('\n')
|
|
expression = '|'.join(['^' + re.escape(piece) for piece in entries if piece.strip()])
|
|
return expression
|
|
|
|
|
|
def read_suffix(data_dir):
|
|
with utf8open(path.join(data_dir, 'suffix')) as file_:
|
|
entries = file_.read().split('\n')
|
|
expression = '|'.join([piece + '$' for piece in entries if piece.strip()])
|
|
return expression
|
|
|
|
|
|
def read_infix(data_dir):
|
|
with utf8open(path.join(data_dir, 'infix')) as file_:
|
|
entries = file_.read().split('\n')
|
|
expression = '|'.join([piece for piece in entries if piece.strip()])
|
|
return expression
|
|
|
|
|
|
def read_tokenization(lang):
|
|
loc = path.join(DATA_DIR, lang, 'tokenization')
|
|
entries = []
|
|
seen = set()
|
|
with utf8open(loc) as file_:
|
|
for line in file_:
|
|
line = line.strip()
|
|
if line.startswith('#'):
|
|
continue
|
|
if not line:
|
|
continue
|
|
pieces = line.split()
|
|
chunk = pieces.pop(0)
|
|
assert chunk not in seen, chunk
|
|
seen.add(chunk)
|
|
entries.append((chunk, list(pieces)))
|
|
if chunk[0].isalpha() and chunk[0].islower():
|
|
chunk = chunk[0].title() + chunk[1:]
|
|
pieces[0] = pieces[0][0].title() + pieces[0][1:]
|
|
seen.add(chunk)
|
|
entries.append((chunk, pieces))
|
|
return entries
|
|
|
|
|
|
def read_detoken_rules(lang):
|
|
loc = path.join(DATA_DIR, lang, 'detokenize')
|
|
entries = []
|
|
with utf8open(loc) as file_:
|
|
for line in file_:
|
|
entries.append(line.strip())
|
|
return entries
|
|
|
|
|
|
def align_tokens(ref, indices):
|
|
start = 0
|
|
queue = list(indices)
|
|
for token in ref:
|
|
end = start + len(token)
|
|
emit = []
|
|
while queue and queue[0][1] <= end:
|
|
emit.append(queue.pop(0))
|
|
yield token, emit
|
|
start = end
|
|
assert not queue
|
|
|
|
|
|
def detokenize(token_rules, words):
|
|
"""To align with treebanks, return a list of "chunks", where a chunk is a
|
|
sequence of tokens that are separated by whitespace in actual strings. Each
|
|
chunk should be a tuple of token indices, e.g.
|
|
|
|
>>> detokenize(["ca<SEP>n't", '<SEP>!'], ["I", "ca", "n't", "!"])
|
|
[(0,), (1, 2, 3)]
|
|
"""
|
|
string = ' '.join(words)
|
|
for subtoks in token_rules:
|
|
# Algorithmically this is dumb, but writing a little list-based match
|
|
# machine? Ain't nobody got time for that.
|
|
string = string.replace(subtoks.replace('<SEP>', ' '), subtoks)
|
|
positions = []
|
|
i = 0
|
|
for chunk in string.split():
|
|
subtoks = chunk.split('<SEP>')
|
|
positions.append(tuple(range(i, i+len(subtoks))))
|
|
i += len(subtoks)
|
|
return positions
|