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N-grams Analysis

Explore sequences of N consecutive words in text. N-grams are fundamental building blocks for language modeling, text prediction, and statistical analysis.

Configuration

Configure N-gram analysis parameters

UnigramBigramTrigram4-gram5-gram
1510
550100

Bigrams Analysis

Frequency distribution and statistics for 2-grams

Enter text above to analyze N-grams

Understanding N-grams

What are N-grams?

N-grams are contiguous sequences of N items (usually words) from a text. They capture local word patterns and are essential for language modeling and text analysis tasks.

Unigrams (1-gram): Individual words

Bigrams (2-gram): Word pairs

Trigrams (3-gram): Three-word sequences

Applications

  • • Language modeling and text prediction
  • • Machine translation systems
  • • Speech recognition
  • • Information retrieval
  • • Text classification
  • • Spell checking and correction

Key Metrics

  • Frequency: How often an N-gram appears
  • Probability: Relative frequency in the corpus
  • Coverage: Percentage of text represented
  • Perplexity: Model uncertainty measure
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