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| # -*- 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 | |