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  2. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Word2vec can use either of two model architectures to produce these distributed representations of words: continuous bag of words (CBOW) or continuously sliding skip-gram. In both architectures, word2vec considers both individual words and a sliding context window as it iterates over the corpus.

  3. File:Skip-gram.svg - Wikipedia

    en.wikipedia.org/wiki/File:Skip-gram.svg

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses ...

  4. 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]

  5. Category : Free and open-source video-editing software

    en.wikipedia.org/wiki/Category:Free_and_open...

    Pages in category "Free and open-source video-editing software" The following 6 pages are in this category, out of 6 total. This list may not reflect recent changes .

  6. List of video editing software - Wikipedia

    en.wikipedia.org/wiki/List_of_video_editing_software

    The following is a list of video editing software. The criterion for inclusion in this list is the ability to perform non-linear video editing. Most modern transcoding software supports transcoding a portion of a video clip, which would count as cropping and trimming. However, items in this article have one of the following conditions:

  7. Word n-gram language model - Wikipedia

    en.wikipedia.org/wiki/Word_n-gram_language_model

    the set of 1-skip-2-grams includes all the bigrams (2-grams), and in addition the subsequences the in, rain Spain, in falls, Spain mainly, falls on, mainly the, and on plain. In skip-gram model, semantic relations between words are represented by linear combinations, capturing a form of compositionality.