Multilingual Stop Words Remover
Stop Words Remover: Removes matching tokens from a supplied whitespace-separated list or a short built-in English/Chinese list; it does not use the NLTK corpus or segment unspaced Chinese.
About this multilingual stop words remover
Stop Words Remover: Removes matching tokens from a supplied whitespace-separated list or a short built-in English/Chinese list; it does not use the NLTK corpus or segment unspaced Chinese Applies Unicode-compliant text transformations and parsing directly in the browser tab without data leakage.
Text processing & transformation mechanics
Removes case-insensitive Unicode letter, number, apostrophe, and hyphen word tokens that match a caller-supplied whitespace-separated list. Only a literally empty second field selects the built-in `the a an and or but is are to of in on for with 的 了 和 是 在` list; a whitespace-only nonempty field supplies an empty replacement list.
Worked text manipulation example
Scenario: Remove the built-in stop words from the tool’s sample sentence.
Sample input:
Processing: Use the blank second field’s built-in list, remove matching case-insensitive tokens, and normalize adjacent spaces.
Illustrative output:
Character encoding & string length boundaries
The built-in list is deliberately short. It is not the NLTK corpus, does not segment unspaced Chinese, and does not perform stemming or linguistic analysis. Line breaks generally remain, but any whitespace run—including a line break—immediately before `, . ; : ! ?` is removed. Separately, runs of two or more spaces or tabs become one space.
Text formatting and transformations in Multilingual Stop Words Remover preserve character integrity. Check edge cases such as multi-line inputs and special characters before downstream use.
In-memory text processing boundary
String operations and Unicode manipulations in Multilingual Stop Words Remover execute entirely in local browser memory without transmitting input text.
Unicode Consortium & text formatting standards
Unicode Consortium standard annexes (UAX) and character encoding specifications:
- ECMAScript Unicode letter and number property matching.
- CZOA-specific literal built-in or caller-supplied stop list; not the NLTK corpus or a linguistic segmenter.
Multilingual Stop Words Remover verification · Audit standards
How to use it
- Paste text in the first field; optionally enter a whitespace-separated removal list in the second field.
- Click Run locally; only a literally empty second field uses the built-in list. Whitespace-only text supplies an empty replacement list.
- Copy the filtered text after matching tokens are removed and adjacent spaces are normalized.
Frequently asked questions
How does Stop Words Remover choose words to remove?+
A non-empty secondary input, including whitespace-only text, replaces the default list; it is lowercased and split on whitespace. With an empty secondary input, the short built-in English/Chinese list is used. Matching tokens can contain letters, numbers, apostrophes, curly apostrophes, or hyphens.
Can I try a concrete input?+
Enter `The cat and the dog.` with no secondary list and choose Run locally. The result is `cat dog.`, after removing the default `the` and `and` and cleaning extra spaces.
Can a custom secondary list change the result?+
Yes. A custom secondary list is split on whitespace and compared case-insensitively with each matched token. It is not a language detector or a curated dictionary service, and it does not segment unspaced text.
Does it preserve exact formatting and grammar?+
No. It separately collapses repeated ordinary spaces or tabs, then removes any whitespace run, including a newline, immediately before ASCII `,`, `.`, `!`, `?`, `;`, or `:`. It does not generally remove whitespace before non-ASCII punctuation. Removing words can change grammar, meaning, quotations, search phrases, and layout.