AI Powered N-gram Analyzer Tool | Text Analysis & Comparison

Input Text

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Settings

N-gram Size

1 2 3 4 5 6 7

Min. Frequency

Case Sensitive

Remove Stopwords

Custom Stopwords

Pattern Matching (RegEx)

Visualization

Enter text and click "Analyze" to see visualizations

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N-gram Analysis Results

N-gram	Frequency	Percentage
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Text Statistics

Total Words

Unique Words

Sentences

Avg. Word Length

Text A

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Text B

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Comparison Settings

N-gram Size

Case Sensitive

Remove Stopwords

Comparison Results

Similarity Metrics

Jaccard Similarity

Cosine Similarity

Unique N-grams

Text A Only

Common

Text B Only

Visualization

Most Distinctive N-grams

Text A Distinctive

No data available

Text B Distinctive

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Shakespeare Sonnet

A classic example to analyze literary text structure.

Shall I compare thee to a summer's day? Thou art more lovely and more temperate. Rough winds do shake the darling buds of May, And summer's lease hath all too short a date. Sometime too hot the eye of heaven shines, And often is his gold complexion dimmed; And every fair from fair sometime declines, By chance, or nature's changing course, untrimmed;

Programming Concepts

Technical text for analyzing technical terminology.

Object-oriented programming is a programming paradigm based on the concept of objects, which can contain data and code. Data in the form of fields, and code, in the form of procedures. A feature of objects is that an object's own procedures can access and modify the data fields of itself. In OOP, computer programs are designed by making them out of objects that interact with one another.

News Article

Journalistic text for analyzing news language patterns.

Scientists have discovered a new species of deep-sea fish that can withstand extreme pressure at ocean depths. The discovery was made during an expedition to the Mariana Trench, the deepest oceanic trench on Earth. Researchers used specialized equipment to collect specimens at depths exceeding 8,000 meters. The new species exhibits unique adaptations including specialized cell membranes and pressure-resistant proteins that allow it to survive in the high-pressure environment.

Comparison Example

Two related texts for comparison analysis.

Scientific Abstract

Academic text for analyzing scientific language.

The role of microplastics as vectors for environmental contaminants was investigated through laboratory experiments. Polystyrene microbeads were exposed to persistent organic pollutants under controlled conditions. Adsorption kinetics were measured using gas chromatography-mass spectrometry. Results indicate significant bioaccumulation potential when contaminated microplastics are ingested by marine organisms. These findings suggest that microplastics may enhance the transfer of hazardous chemicals through marine food webs.

Social Media

Casual text for analyzing informal language patterns.

OMG just saw the most amazing sunset ever! 😍 Can't believe how beautiful it was lol. Totally worth hiking up that hill even tho my feet are killing me now haha. Anyone want to join me tomorrow? Weather forecast says it'll be even better! #nofilter #sunset #naturelovers #hiking #bestdayever

What are N-grams?

N-grams are contiguous sequences of n items from a given sample of text or speech. The items can be phonemes, syllables, letters, words or base pairs according to the application.

For text analysis, n-grams typically refer to a sequence of words:

Unigrams (1-grams): Single words (e.g., "the", "cat")
Bigrams (2-grams): Two consecutive words (e.g., "the cat")
Trigrams (3-grams): Three consecutive words (e.g., "the black cat")

N-grams are useful for language modeling, text analysis, and applications like predictive text, autocomplete, and language generation.

Using This Tool

Enter or paste text in the input area, or upload a text file
Adjust the n-gram size (1 for words, 2 for pairs, etc.)
Configure additional settings like case sensitivity and stopwords removal
Click "Analyze Text" to process the input
View the results in your preferred visualization format
Export results as CSV, JSON, or images for further analysis

Tip: For large texts, the tool processes data in chunks to maintain performance. The Compare tab allows you to analyze differences between two texts.

Advanced Features

Regular Expressions: Use pattern matching to filter specific types of n-grams
Custom Stopwords: Add domain-specific words to exclude from analysis
Comparative Analysis: Compare the n-gram distributions of two different texts
Visualization Options: Switch between different visualization types for different insights
Frequency Filtering: Focus on n-grams that appear more than a specified number of times
Offline Support: The application works without internet connection after initial load
GPU Acceleration: Uses your device's graphics capabilities for faster rendering

Use Cases

Linguistics Research

Analyze language patterns, identify collocations, and study word usage frequencies in different contexts or over time.

Content Analysis

Identify key phrases and terminology in academic papers, news articles, or social media content.

Plagiarism Detection

Compare texts to identify similarities and potential instances of copied content.

Author Attribution

Analyze writing style through n-gram patterns to help identify or verify authorship of texts.