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N-gram

An n-gram is a sequence of n adjacent symbols in a particular order. The symbols may be n adjacent letters (including punctuation marks and blanks), syllables, or rarely whole words found in a language dataset; or adjacent phonemes extracted from a speech-recording dataset, or adjacent base pairs extracted from a genome. They are collected from a text…

Art, Overview & Examples

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Research this topic

Explore the main themes, entities and connections around N-gram. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Overview

LettersPunctuation marksSyllablesWordsPhonemes
17 related topics

Examples

Shannon
1 related topics

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Examples

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

N-gram

Nodes21
Edges20
Triples23
Avg. degree1.9
Density0.095238
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

N-gram

Top relations

related to External links · 16
N-gram → Alexa Top, Clustering In Depth, Contemporary American EnglishPeachnote's, Corpus, Gives, Google's Google Books, Gram, Gram Language ModelsOpenRefine, Language Models, Michael Collins's, Ngram Extractor, September, Specification, STATOPERATOR N-grams Project Weighted, W3C, Web
related to Examples · 4
N-gram → English, For, In, Shannon
is a · 1
N-gram → sequence of n adjacent symbols in a particular order

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

called words language english models used etc n-grams corpus natural word adjacent symbols order may latin numerical prefixes size cardinal

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
N-gramis asequence of n adjacent symbols in a particular order0.90text
word orderinstance ofthe use of n-grams allows bag-of-words models to capture information0.80text
which would not be possible in the traditional bag of words settinginstance ofthe use of n-grams allows bag-of-words models to capture information0.80text
N-gramrelated to ExamplesIn0.60section
N-gramrelated to ExamplesShannon0.60section
N-gramrelated to ExamplesEnglish0.60section
N-gramrelated to ExamplesFor0.60section
N-gramrelated to External linksNgram Extractor0.60section
N-gramrelated to External linksGives0.60section
N-gramrelated to External linksGoogle's Google Books0.60section
N-gramrelated to External linksWeb0.60section
N-gramrelated to External linksSeptember0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.