Extrait les bigrammes, trigrammes, 4-grammes ou 5-grammes les plus courants dans n'importe quel texte. Filtre par fréquence minimum et écarte les phrases composées uniquement de stopwords.
Use the n-gram analyzer to find common phrases in writing, transcripts, or scraped content. Especially useful for SEO topical analysis, content gap analysis, and discovering author voice patterns.
The n-gram analyzer is more general than Keyword Density (no SEO framing). It's the natural next step after Word Frequency if you suspect important phrases lie above the single-word level.
An n-gram is a contiguous sequence of n words from a text. Bigrams are 2-word sequences ("machine learning"); trigrams are 3-word ("artificial neural network").
The analyzer counts every n-gram, filters by minimum frequency, and optionally drops phrases composed entirely of stopwords.
Lowercase normalization treats "The Cat" and "the cat" as the same n-gram — usually what you want for analysis.
Keyword density adds percentages and over-optimization warnings for SEO. The n-gram analyzer is a general phrase-frequency tool without the SEO framing.
Without filtering, the top n-grams are always "of the", "in the", "to the" — uninformative. The filter drops phrases composed entirely of stopwords.
For finding repeated long phrases — quotes, slogans, boilerplate. Most useful n is 2 or 3.
Entrée
500-word product description.
Sortie
Top bigrams: "machine learning" (8), "neural network" (5), "training data" (4).
N-grams reveal the actual phrases that dominate a text, including phrases the writer didn't consciously target. Useful for SEO topic discovery and content audit.
% mots de contenu vs. mots-outils.
analysisVariété du vocabulaire — ratio type-token.
analysisTotal + compte par mot.
analysisSurligne les phrases passives dans votre écriture.