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  2. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Word2vec represents a word as a high-dimension vector of numbers which capture relationships between words. In particular, words which appear in similar contexts are mapped to vectors which are nearby as measured by cosine similarity .

  3. Mnemonic major system - Wikipedia

    en.wikipedia.org/wiki/Mnemonic_major_system

    Numzi - free web application for converting numbers to words/phrases and vice versa using the Major System. Covers the English language with over 220,000 words. Numzi also has an iOS app which is a portable Major System number-word converter. 2Know is free Windows software for converting numbers to words (English, German, French).

  4. Template:Number to word - Wikipedia

    en.wikipedia.org/wiki/Template:Number_to_word

    A natural number in the range of 10 126 and -10 126 is, as well as some larger numbers such as one centillion and one millinillion. zero : Optional. The value to use when the number is 0.

  5. Word embedding - Wikipedia

    en.wikipedia.org/wiki/Word_embedding

    In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]

  6. How To Write Numbers in Words on a Check - AOL

    www.aol.com/finance/write-numbers-words-check...

    Hyphenate all numbers under 100 that need more than one word. For example, $73 is written as “seventy-three,” and the words for $43.50 are “Forty-three and 50/100.”

  7. Gödel numbering - Wikipedia

    en.wikipedia.org/wiki/Gödel_numbering

    In other words, by placing the set of K basic symbols in some fixed order, such that the -th symbol corresponds uniquely to the -th digit of a bijective base-K numeral system, each formula may serve just as the very numeral of its own Gödel number. For example, the numbering described here has K=1000. [i]

  8. 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 It has been superseded by recurrent neural network–based models, which have been superseded by large language models.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.

  9. Template:Number to word/doc - Wikipedia

    en.wikipedia.org/wiki/Template:Number_to_word/doc

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