The Generate Text N-grams Tool helps you extract structured sequences of words from text by generating every possible n-word phrase. Whether you’re analyzing natural language, building predictive models, or visualizing how words appear together, this tool makes it easy to turn raw text into structured n-grams instantly.
You can input text manually or import from supported files like .txt, .csv, .json, or .html. Adjust the n-value to control the size of your n-grams, toggle punctuation stripping, normalize case, and choose whether to sort the results alphabetically. Everything runs client-side and updates live.
How to Use:
- Paste or type your input text into the Input Text box, or import a file below it.
- Set your desired value of N (e.g., 2 for bigrams, 3 for trigrams).
- Use the toggles to:
- Convert everything to lowercase
- Remove punctuation marks
- Sort the output alphabetically
- The output appears instantly in the preview box.
- Use the Copy Output or Export to File button to save your results.
What Generate Text N-grams Tool can do:
This tool reads your input, splits it into words, and generates all consecutive groups of n words. It supports real-time preview, clean formatting, and export. You can quickly analyze word patterns, train models, or visualize how word sequences appear in writing.
Example:
Input:
The quick brown fox jumps over the lazy dog.
N = 3
Output:
The quick brown
quick brown fox
brown fox jumps
fox jumps over
jumps over the
over the lazy
the lazy dog
Common Use Cases:
- Natural language processing (NLP) and machine learning training
- Text similarity and frequency analysis
- Generating autocomplete suggestions or keyword phrases
- Studying word pattern usage in large documents
- Educational tools for writers and linguists
The Generate Text N-grams Tool runs fully in-browser, with no data ever uploaded or shared. It’s fast, flexible, and designed to give you clean structured data from any type of text.
Useful Tools & Suggestions:
If you want to explore more specific structures, Generate Text Trigrams builds longer patterns for more natural phrasing, while Generate Text Skip-grams lets you skip over words to capture wider contextual links. Together, they’re super useful for modeling any kind of language analysis.