知微
fa45d8aa5f
- health_checklist.json: 192.168.1.122→node122
- ocr_client.py: docstring IP→node122
- docs/market-data-requirements.md: IP→node122
- 所有API调用通过ProxyHandler({})绕过系统代理
Privoxy对node122:18003返回500，直连正常
35 lines
1.2 KiB
Python
35 lines
1.2 KiB
Python
# Natural Language Toolkit: Stemmers
|
|
#
|
|
# Copyright (C) 2001-2026 NLTK Project
|
|
# Author: Trevor Cohn <tacohn@cs.mu.oz.au>
|
|
# Edward Loper <edloper@gmail.com>
|
|
# Steven Bird <stevenbird1@gmail.com>
|
|
# URL: <https://www.nltk.org/>
|
|
# For license information, see LICENSE.TXT
|
|
|
|
"""
|
|
NLTK Stemmers
|
|
|
|
Interfaces used to remove morphological affixes from words, leaving
|
|
only the word stem. Stemming algorithms aim to remove those affixes
|
|
required for eg. grammatical role, tense, derivational morphology
|
|
leaving only the stem of the word. This is a difficult problem due to
|
|
irregular words (eg. common verbs in English), complicated
|
|
morphological rules, and part-of-speech and sense ambiguities
|
|
(eg. ``ceil-`` is not the stem of ``ceiling``).
|
|
|
|
StemmerI defines a standard interface for stemmers.
|
|
"""
|
|
|
|
from nltk.stem.api import StemmerI
|
|
from nltk.stem.arlstem import ARLSTem
|
|
from nltk.stem.arlstem2 import ARLSTem2
|
|
from nltk.stem.cistem import Cistem
|
|
from nltk.stem.isri import ISRIStemmer
|
|
from nltk.stem.lancaster import LancasterStemmer
|
|
from nltk.stem.porter import PorterStemmer
|
|
from nltk.stem.regexp import RegexpStemmer
|
|
from nltk.stem.rslp import RSLPStemmer
|
|
from nltk.stem.snowball import SnowballStemmer
|
|
from nltk.stem.wordnet import WordNetLemmatizer
|