An n-gram is a sequence of n adjacent symbols in particular order. The symbols may be n adjacent letters (including punctuation marks and blanks), syllables...

An n-gram is a sequence of n words, characters, or other linguistic items. n-gram may also refer to: Google Ngram Viewer n-gram language model k-mer, the...

A word n-gram language model is a purely statistical model of language. It has been superseded by recurrent neural network–based models, which have been...

commonly the Euclidean space R n {\displaystyle \mathbb {R} ^{n}} equipped with the standard inner product. The Gram–Schmidt process takes a finite,...

previously superseded the pure statistical models, such as word n-gram language model. A word n-gram language model is a purely statistical model of language...

charts the frequencies of any set of search strings using a yearly count of n-grams found in printed sources published between 1500 and 2022 in Google's text...

any integer n ≥ 1 {\displaystyle n\geq 1} , we define the set of its n-grams to be G n ( y ) = { y 1 ⋯ y n , y 2 ⋯ y n + 1 , ⋯ , y K − n + 1 ⋯ y K } {\displaystyle...

Gram-negative bacteria are bacteria that, unlike gram-positive bacteria, do not retain the crystal violet stain used in the Gram staining method of bacterial...

linear algebra, the Gram matrix (or Gramian matrix, Gramian) of a set of vectors v 1 , … , v n {\displaystyle v_{1},\dots ,v_{n}} in an inner product...

Gram stain (Gram staining or Gram's method), is a method of staining used to classify bacterial species into two large groups: gram-positive bacteria...

In bacteriology, gram-positive bacteria are bacteria that give a positive result in the Gram stain test, which is traditionally used to quickly classify...

back-off is a generative n-gram language model that estimates the conditional probability of a word given its history in the n-gram. It accomplishes this...

centimetre–gram–second system of units (CGS or cgs) is a variant of the metric system based on the centimetre as the unit of length, the gram as the unit...

Connor III (November 5, 1946 – September 19, 1973), known professionally as Gram Parsons, was an American singer, songwriter, guitarist, and pianist. He recorded...

works together with other researchers, Holger Schwenk replaced the usual n-gram language model with a neural one and estimated phrase translation probabilities...

long n-grams (i.e. initial "tokens"). Then, successively, the most frequent pair of adjacent characters is merged into a new, 2-character long n-gram and...

Trigrams are a special case of the n-gram, where n is 3. They are often used in natural language processing for performing statistical analysis of texts...

n-gram precision adding equal weight to each one, NIST also calculates how informative a particular n-gram is. That is to say when a correct n-gram is...

In Norse mythology, Gram (Old Norse Gramr, meaning "Wrath"), also known as Balmung or Nothung, is the sword that Sigurd used to kill the dragon Fafnir...

tokens, which are typically letters, syllables, or words. A bigram is an n-gram for n=2. The frequency distribution of every bigram in a string is commonly...

reference. The following five evaluation metrics are available. ROUGE-N: Overlap of n-grams between the system and reference summaries. ROUGE-1 refers to the...

is a method primarily used to calculate the probability distribution of n-grams in a document based on their histories. It is widely considered the most...

service that does the processing of 'n-grams' data on the server-side. LanguageTool "Premium" also uses n-grams as part of its freemium business model...

United States Bureau of the Census. Google N gram viewer. Retrieved April 28, 2018. V, Jalajakshi; A n, Myna (2022-06-01). "Importance of statistics...

among features is quite intuitive. Features such as words, n-grams, or syntactic n-grams can be quite similar, though formally they are considered as...

are gram negative and coccoid. The gram-negative, coccoid species include: Neisseria cinerea, N. gonorrhoeae, N. polysaccharea, N. lactamica, N. meningitidis...

for a match. This analyzes for word n-grams, which are strings of words of a certain length (n). The more n-gram words in common, the more similarities...

algorithm used has a low enough time complexity to be practical. In 2003, word n-gram model, at the time the best statistical algorithm, was outperformed by a...

one vector v w ∈ R n {\displaystyle v_{w}\in \mathbb {R} ^{n}} for each word w ∈ V {\displaystyle w\in V} . The idea of skip-gram is that the vector of...

commonly used one as with ChaSen. In 2007, Google used MeCab to generate n-gram data for a large corpus of Japanese text, which it published on its Google...