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  2. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    The CBOW can be viewed as a ‘fill in the blank’ task, where the word embedding represents the way the word influences the relative probabilities of other words in the context window. Words which are semantically similar should influence these probabilities in similar ways, because semantically similar words should be used in similar contexts.

  3. Help:WordToWiki - Wikipedia

    en.wikipedia.org/wiki/Help:WordToWiki

    Open your document in Word, and "save as" an HTML file. Open the HTML file in a text editor and copy the HTML source code to the clipboard. Paste the HTML source into the large text box labeled "HTML markup:" on the html to wiki page. Click the blue Convert button at the bottom of the page.

  4. fastText - Wikipedia

    en.wikipedia.org/wiki/FastText

    fastText is a library for learning of word embeddings and text classification created by Facebook's AI Research (FAIR) lab. [3] [4] [5] [6] The model allows one to ...

  5. WordNet - Wikipedia

    en.wikipedia.org/wiki/WordNet

    The database contains 155,327 words organized in 175,979 synsets for a total of 207,016 word-sense pairs; in compressed form, it is about 12 megabytes in size. [ 3 ] It includes the lexical categories nouns , verbs , adjectives and adverbs but ignores prepositions , determiners and other function words.

  6. 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]

  7. TextMaker - Wikipedia

    en.wikipedia.org/wiki/TextMaker

    TextMaker is a word processor, which aims at utmost compatibility with Microsoft Word, its default document format is .docx. It is sold as part of the SoftMaker office suite. Some reduced versions of TextMaker are released as freeware. It is available for Windows, MacOS, Linux, Android and iOS.

  8. T5 (language model) - Wikipedia

    en.wikipedia.org/wiki/T5_(language_model)

    T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [1] [2] Like the original Transformer model, [3] T5 models are encoder-decoder Transformers, where the encoder processes the input text, and the decoder generates the output text.

  9. Reference software - Wikipedia

    en.wikipedia.org/wiki/Reference_software

    Reference software is software which emulates and expands upon print reference forms including the dictionary, translation dictionary, encyclopaedia, thesaurus, and atlas. Like print references, reference software can either be general or specific to a domain, and often includes maps and illustrations, as well as bibliography and statistics.