File size: 3,191 Bytes
e4b9a7b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 | # -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: 2016-2025 PyThaiNLP Project
# SPDX-FileType: SOURCE
# SPDX-License-Identifier: Apache-2.0
"""
Utility functions for tokenize module.
"""
import re
from typing import Callable, List
_DIGITS_WITH_SEPARATOR = re.compile(r"(\d+[\.\,:])+\d+")
def apply_postprocessors(
segments: List[str], postprocessors: Callable[[List[str]], List[str]]
) -> List[str]:
"""
A list of callables to apply to a raw segmentation result.
"""
for func in postprocessors:
segments = func(segments)
return segments
def rejoin_formatted_num(segments: List[str]) -> List[str]:
"""
Rejoin well-known formatted numeric that are over-tokenized.
The formatted numeric are numbers separated by ":", ",", or ".",
such as time, decimal numbers, comma-added numbers, and IP addresses.
:param List[str] segments: result from word tokenizer
:return: a list of fixed tokens
:rtype: List[str]
:Example:
tokens = ['ขณะ', 'นี้', 'เวลา', ' ', '12', ':', '00น', ' ', 'อัตรา',
'แลกเปลี่ยน', ' ', '1', ',', '234', '.', '5', ' ', 'baht/zeny']
rejoin_formatted_num(tokens)
# output:
# ['ขณะ', 'นี้', 'เวลา', ' ', '12:00น', ' ', 'อัตรา', 'แลกเปลี่ยน', ' ', '1,234.5', ' ', 'baht/zeny']
tokens = ['IP', ' ', 'address', ' ', 'ของ', 'คุณ', 'คือ', ' ', '127', '.', '0', '.', '0', '.', '1', ' ', 'ครับ']
rejoin_formatted_num(tokens)
# output:
# ['IP', ' ', 'address', ' ', 'ของ', 'คุณ', 'คือ', ' ', '127.0.0.1', ' ', 'ครับ']
"""
original = "".join(segments)
matching_results = _DIGITS_WITH_SEPARATOR.finditer(original)
tokens_joined = []
pos = 0
segment_idx = 0
match = next(matching_results, None)
while segment_idx < len(segments) and match:
is_span_beginning = pos >= match.start()
token = segments[segment_idx]
if is_span_beginning:
connected_token = ""
while pos < match.end() and segment_idx < len(segments):
connected_token += segments[segment_idx]
pos += len(segments[segment_idx])
segment_idx += 1
if connected_token:
tokens_joined.append(connected_token)
match = next(matching_results, None)
else:
tokens_joined.append(token)
segment_idx += 1
pos += len(token)
tokens_joined += segments[segment_idx:]
return tokens_joined
def strip_whitespace(segments: List[str]) -> List[str]:
"""
Strip whitespace(s) off each token and remove whitespace tokens.
:param List[str] segments: result from word tokenizer
:return: a list of tokens
:rtype: List[str]
:Example:
tokens = [" ", "วันนี้ ", "เวลา ", "19.00น"]
strip_whitespace(tokens)
# ["วันนี้", "เวลา", "19.00น"]
"""
segments = [token.strip(" ") for token in segments if token.strip(" ")]
return segments
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