Text N-Grams Generator

An n-gram is a contiguous sequence of n items extracted from a given text. Word n-grams group consecutive words, while character n-grams group consecutive characters, including the spaces between them. Frequency analysis of n-grams reveals common phrases, repeated patterns, and structural tendencies within any body of text; the output is a ranked frequency table of every discovered n-gram, showing occurrence counts and, optionally, each one's percentage of the total.

Word mode splits text on whitespace and punctuation boundaries to produce sequences of whole words; character mode slides a window across the raw text to produce sequences of individual characters. The n value sets how many tokens each n-gram spans: 1 produces unigrams, 2 produces bigrams (pairs), 3 produces trigrams, and so on up to 10.

Filtering and display are configurable independently of the extraction itself. A minimum frequency threshold drops n-grams that appear fewer times than the setting, and a maximum results cap limits how many rows the table shows. Case-sensitive matching distinguishes uppercase and lowercase variants rather than merging them; removing common stop words excludes articles, prepositions, and other high-frequency function words from word n-grams. Results sort by frequency or alphabetically, and a percentage column can be shown or hidden. Fractions (3/4), mixed numbers (5 1/16), decimals (0.75), and scientific notation (1.5e3) are all accepted in the numeric fields, including n-gram size, minimum frequency, and maximum results.

Results export to CSV with the n-gram text, frequency count, and percentage for each entry, and a previously exported CSV carrying n-gram and frequency columns can be imported back in to populate the table directly.

N-gram frequency analysis applies across many domains where understanding text patterns, word co-occurrences, or character sequences provides actionable insight. Below are practical scenarios illustrating how different fields benefit from n-gram generation.

• Content Writing: Analyze blog posts and articles to identify overused phrases and repetitive bigrams. A writer reviewing a 2000-word article might discover that "in order to" appears 14 times and replace several instances with more direct phrasing.
• SEO Analysis: Extract the most frequent word bigrams and trigrams from top-ranking competitor pages to identify keyword phrases worth targeting. Comparing n-gram frequency tables across multiple pages reveals shared terminology and content gaps.
• Academic Research: Examine a corpus of research papers to find domain-specific collocations and frequently co-occurring technical terms. A linguistics researcher studying a 50,000-word corpus can identify statistically significant bigrams that indicate fixed expressions.
• Plagiarism Detection: Compare trigram frequency tables between two documents to find overlapping three-word sequences. A high overlap percentage between submissions suggests shared source material or insufficient paraphrasing.
• Natural Language Processing: Generate character-level n-grams for language identification or spelling correction models. Character trigram profiles differ between languages, enabling automatic classification of unknown text samples by comparing their trigram distributions against reference profiles.
• Social Media Monitoring: Analyze a collection of tweets or posts mentioning a brand to identify the most common two-word and three-word phrases customers associate with a product. Tracking these n-grams over time reveals shifts in public perception and emerging topics of conversation.
• Cryptography: Apply character bigram and trigram frequency analysis to ciphertext as part of classical cipher-breaking techniques. Comparing observed n-gram frequencies against known language statistics helps identify substitution patterns and narrow the key space.
• Speech coaching: Analyze a transcript of recorded speech to identify word-level bigrams that mark habitual filler patterns or disfluencies. Tracking n-gram frequency across recordings measures progress in fluency practice.