Files
paperless-ngx/src/documents/_snowball_stopwords.py
T
Trenton H 530059c5c0 Performance: Preprocess classifier text with Tantivy instead of NLTK (#14127)
* Preprocesses classifier content with Tantivy instead of NLTK

Tokenizing and stemming now happen in one Rust call instead of NLTK's
Python tokenizer and per word stemming, which also removes the Redis
backed stem cache from every preprocessing call. The output matches the
NLTK pipeline closely; tokens containing digits are now stemmed, and the
English stop words follow Snowball's list.

Stemming and stop word removal apply whenever the OCR language is one of
the supported classifier languages, so PAPERLESS_ENABLE_NLTK and
PAPERLESS_NLTK_DIR are removed.

* Copies packages instead of hardlinking them in backend CI, some NLTK thing

* Adds a normalization to NFC to better fit what Tantivy expects
2026-09-16 07:35:26 -07:00

214 lines
3.9 KiB
Python

"""
English stop words from the Snowball project, kept as published at
https://snowballstem.org/algorithms/english/stop.txt, under this license:
Copyright (c) 2001, Dr Martin Porter
Copyright (c) 2004,2005, Richard Boulton
Copyright (c) 2013, Yoshiki Shibukawa
Copyright (c) 2006-2025, Olly Betts
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
1. Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
3. Neither the name of the Snowball project nor the names of its contributors
may be used to endorse or promote products derived from this software
without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
"""
from typing import Final
ENGLISH: Final[tuple[str, ...]] = (
"i",
"me",
"my",
"myself",
"we",
"our",
"ours",
"ourselves",
"you",
"your",
"yours",
"yourself",
"yourselves",
"he",
"him",
"his",
"himself",
"she",
"her",
"hers",
"herself",
"it",
"its",
"itself",
"they",
"them",
"their",
"theirs",
"themselves",
"what",
"which",
"who",
"whom",
"this",
"that",
"these",
"those",
"am",
"is",
"are",
"was",
"were",
"be",
"been",
"being",
"have",
"has",
"had",
"having",
"do",
"does",
"did",
"doing",
"would",
"should",
"could",
"ought",
"i'm",
"you're",
"he's",
"she's",
"it's",
"we're",
"they're",
"i've",
"you've",
"we've",
"they've",
"i'd",
"you'd",
"he'd",
"she'd",
"we'd",
"they'd",
"i'll",
"you'll",
"he'll",
"she'll",
"we'll",
"they'll",
"isn't",
"aren't",
"wasn't",
"weren't",
"hasn't",
"haven't",
"hadn't",
"doesn't",
"don't",
"didn't",
"won't",
"wouldn't",
"shan't",
"shouldn't",
"can't",
"cannot",
"couldn't",
"mustn't",
"let's",
"that's",
"who's",
"what's",
"here's",
"there's",
"when's",
"where's",
"why's",
"how's",
"a",
"an",
"the",
"and",
"but",
"if",
"or",
"because",
"as",
"until",
"while",
"of",
"at",
"by",
"for",
"with",
"about",
"against",
"between",
"into",
"through",
"during",
"before",
"after",
"above",
"below",
"to",
"from",
"up",
"down",
"in",
"out",
"on",
"off",
"over",
"under",
"again",
"further",
"then",
"once",
"here",
"there",
"when",
"where",
"why",
"how",
"all",
"any",
"both",
"each",
"few",
"more",
"most",
"other",
"some",
"such",
"no",
"nor",
"not",
"only",
"own",
"same",
"so",
"than",
"too",
"very",
)