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  2. Google Books Ngram Viewer - Wikipedia

    en.wikipedia.org/wiki/Google_Books_Ngram_Viewer

    The Google Books Ngram Viewer is an online search engine that 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 [1][2][3][4] in Google 's text corpora in English, Chinese (simplified), French, German, Hebrew, Italian, Russian, or Spanish. [1][2][5] There ...

  3. Word n-gram language model - Wikipedia

    en.wikipedia.org/wiki/Word_n-gram_language_model

    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 It has been superseded by recurrent neural network –based models, which have been superseded by large language models. [1] It is based on an assumption that the probability of the next word in a sequence depends only on a fixed size window of previous words.

  4. Kneser–Ney smoothing - Wikipedia

    en.wikipedia.org/wiki/Kneser–Ney_smoothing

    Kneser–Ney smoothing, also known as Kneser-Essen-Ney smoothing, is a method primarily used to calculate the probability distribution of n-grams in a document based on their histories. [1] It is widely considered the most effective method of smoothing due to its use of absolute discounting by subtracting a fixed value from the probability's ...

  5. Katz's back-off model - Wikipedia

    en.wikipedia.org/wiki/Katz's_back-off_model

    Katz 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 estimation by backing off through progressively shorter history models under certain conditions. [1] By doing so, the model with the most reliable information about a given history is ...

  6. n-gram - Wikipedia

    en.wikipedia.org/wiki/N-gram

    n. -gram. 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, 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.

  7. Culturomics - Wikipedia

    en.wikipedia.org/wiki/Culturomics

    Culturomics is a form of computational lexicology that studies human behavior and cultural trends through the quantitative analysis of digitized texts. [1][2] Researchers data mine large digital archives to investigate cultural phenomena reflected in language and word usage. [3] The term is an American neologism first described in a 2010 ...

  8. Language model - Wikipedia

    en.wikipedia.org/wiki/Language_model

    A language model is a probabilistic model of a natural language. [1] In 1980, the first significant statistical language model was proposed, and during the decade IBM performed ‘Shannon-style’ experiments, in which potential sources for language modeling improvement were identified by observing and analyzing the performance of human subjects in predicting or correcting text.

  9. Google Ngram - Wikipedia

    en.wikipedia.org/?title=Google_Ngram&redirect=no

    Pages for logged out editors learn more. Contributions; Talk; Google Ngram