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- N-gram abstract "In the fields of computational linguistics and probability, an n-gram is a contiguous sequence of n items from a given sequence of text or speech. The items can be phonemes, syllables, letters, words or base pairs according to the application. The n-grams typically are collected from a text or speech corpus.An n-gram of size 1 is referred to as a "unigram"; size 2 is a "bigram" (or, less commonly, a "digram"); size 3 is a "trigram". Larger sizes are sometimes referred to by the value of n, e.g., "four-gram", "five-gram", and so on.".
- N-gram wikiPageExternalLink all-our-n-gram-are-belong-to-you.html.
- N-gram wikiPageExternalLink ngrams.googlelabs.com.
- N-gram wikiPageExternalLink web-ngram.
- N-gram wikiPageExternalLink lm.pdf.
- N-gram wikiPageExternalLink www.ngrams.info.
- N-gram wikiPageExternalLink www.peachnote.com.
- N-gram wikiPageExternalLink Authorship_Verification_for_Short_Messages_using_Stylometry.pdf.
- N-gram wikiPageExternalLink ngram-spec.
- N-gram wikiPageID "986182".
- N-gram wikiPageRevisionID "606253484".
- N-gram hasPhotoCollection N-gram.
- N-gram subject Category:Computational_linguistics.
- N-gram subject Category:Corpus_linguistics.
- N-gram subject Category:Language_modeling.
- N-gram subject Category:Natural_language_processing.
- N-gram subject Category:Probabilistic_models.
- N-gram subject Category:Speech_recognition.
- N-gram type Assistant109815790.
- N-gram type CausalAgent100007347.
- N-gram type LivingThing100004258.
- N-gram type Model110324560.
- N-gram type Object100002684.
- N-gram type Organism100004475.
- N-gram type Person100007846.
- N-gram type PhysicalEntity100001930.
- N-gram type ProbabilisticModels.
- N-gram type Whole100003553.
- N-gram type Worker109632518.
- N-gram type YagoLegalActor.
- N-gram type YagoLegalActorGeo.
- N-gram comment "In the fields of computational linguistics and probability, an n-gram is a contiguous sequence of n items from a given sequence of text or speech. The items can be phonemes, syllables, letters, words or base pairs according to the application. The n-grams typically are collected from a text or speech corpus.An n-gram of size 1 is referred to as a "unigram"; size 2 is a "bigram" (or, less commonly, a "digram"); size 3 is a "trigram".".
- N-gram label "N-Gramm".
- N-gram label "N-gram".
- N-gram label "N-gram".
- N-gram label "N-grama".
- N-gram label "N-gramma".
- N-gram label "N-gramme".
- N-gram label "N-грамм".
- N-gram sameAs N-gram.
- N-gram sameAs N-Gramm.
- N-gram sameAs N-grama.
- N-gram sameAs N-grama.
- N-gram sameAs N-gramme.
- N-gram sameAs N-gramma.
- N-gram sameAs N-gram.
- N-gram sameAs m.03wv8s.
- N-gram sameAs Q94489.
- N-gram sameAs Q94489.
- N-gram sameAs N-gram.
- N-gram wasDerivedFrom N-gram?oldid=606253484.
- N-gram isPrimaryTopicOf N-gram.