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  2. List of forms of word play - Wikipedia

    en.wikipedia.org/wiki/List_of_forms_of_word_play

    Techniques that involve semantics and the choosing of words. Anglish: a writing using exclusively words of Germanic origin; Auto-antonym: a word that contains opposite meanings; Autogram: a sentence that provide an inventory of its own characters; Irony; Malapropism: incorrect usage of a word by substituting a similar-sounding word with ...

  3. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus.

  4. BERT (language model) - Wikipedia

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

    BERT considers the words surrounding the target word fine from the left and right side. However it comes at a cost: due to encoder-only architecture lacking a decoder, BERT can't be prompted and can't generate text , while bidirectional models in general do not work effectively without the right side, thus being difficult to prompt.

  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. Feature learning - Wikipedia

    en.wikipedia.org/wiki/Feature_learning

    Word2vec is a word embedding technique which learns to represent words through self-supervision over each word and its neighboring words in a sliding window across a large corpus of text. [28] The model has two possible training schemes to produce word vector representations, one generative and one contrastive. [ 27 ]

  7. Sentence embedding - Wikipedia

    en.wikipedia.org/wiki/Sentence_embedding

    In practice however, BERT's sentence embedding with the [CLS] token achieves poor performance, often worse than simply averaging non-contextual word embeddings. SBERT later achieved superior sentence embedding performance [8] by fine tuning BERT's [CLS] token embeddings through the usage of a siamese neural network architecture on the SNLI dataset.

  8. Play Wordchuck Online for Free - AOL.com

    www.aol.com/games/play/masque-publishing/wordchuck

    Wonder how many words can a WordChuck chuck? Make as many words as you can from the scrambled word grid to score points. Play Wordchuck Online for Free - AOL.com

  9. Leo (text editor) - Wikipedia

    en.wikipedia.org/wiki/Leo_(text_editor)

    [3] [4] The body text of any Leo node may contain a Leo script, a Python script executed in the context of a Leo outline. A simple API gives Leo scripts full access to all data in loaded outlines, as well as full access to Leo's own source code. The API includes Python iterators that allow scripts to traverse outlines easily. Scripts may be ...