Text N-gram Frequency Analyzer
Count overlapping word or grapheme n-grams with ranked frequencies and original token-position reports.
Ready. Explore the example or use the input controls to begin.
Scope and practical limits
Up to 20,000 input units and 5,000 tokens; N=1–8. Word mode omits punctuation and includes word-like numeric tokens. No stemming or stop-word rules.
The tool processes your work in the browser. The website’s advertising and analytics follow its privacy and consent settings. Projects are not saved automatically. Media workspaces export their files directly rather than storing them in project JSON.
Using Text N-gram Frequency Analyzer
Count overlapping word or grapheme n-grams with ranked frequencies and original token-position reports.
- Load the example or enter text. Choose segmentation and transformation rules explicitly.
- Inspect output and original-position or frequency audits. Review any formatting changes or limitations.
- Copy or download text and audit data; save a project to retain editable input and settings.
Example
red blue red blue has red/blue twice and blue/red once as overlapping bigrams.
Questions & answers
Which limits and conventions apply?
Up to 20,000 input units and 5,000 tokens; N=1–8. Word mode omits punctuation and includes word-like numeric tokens. No stemming or stop-word rules.
Can the output differ between browsers?
Language segmentation and grapheme boundaries use the browser Intl.Segmenter implementation. Use the same browser/version when you need reproducible segmentation. Visual glyph width depends on fonts.
Is my work saved automatically?
No. Save a project or download your result before leaving. Processing is local; site ads and analytics follow the website consent and privacy settings.
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