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  2. Bag-of-words model - Wikipedia

    en.wikipedia.org/wiki/Bag-of-words_model

    The bag-of-words model (BoW) is a model of text which uses an unordered collection (a "bag") of words.It is used in natural language processing and information retrieval (IR).

  3. Comparison of programming languages (functional programming)

    en.wikipedia.org/wiki/Comparison_of_programming...

    For brevity, these words will have the specified meanings in the following tables (unless noted to be part of language syntax): funcN A function.

  4. List of dictionaries by number of words - Wikipedia

    en.wikipedia.org/wiki/List_of_dictionaries_by...

    This is a list of dictionaries considered authoritative or complete by approximate number of total words, or headwords, included number of words in a language. [1] [2] In compiling a dictionary, a lexicographer decides whether the evidence of use is sufficient to justify an entry in the dictionary. This decision is not the same as determining ...

  5. Keyword (linguistics) - Wikipedia

    en.wikipedia.org/wiki/Keyword_(linguistics)

    In corpus linguistics a key word is a word which occurs in a text more often than we would expect to occur by chance alone. [1] Key words are calculated by carrying out a statistical test (e.g., loglinear or chi-squared) which compares the word frequencies in a text against their expected frequencies derived in a much larger corpus, which acts as a reference for general language use.

  6. Non-English-based programming languages - Wikipedia

    en.wikipedia.org/wiki/Non-English-based...

    A version of Python with keywords and built-in identifiers all translated to Chinese. Easy Programming Language: A Chinese rapid application development language. Wenyan An esoteric language that closely follows the grammar and sentence structure of Classical Chinese; it compiles to JavaScript and Python (with C, etc. forthcoming).

  7. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Word2vec is a group of related models that are used to produce word embeddings.These models are shallow, two-layer neural networks that are trained to reconstruct linguistic contexts of words.

  8. Document-term matrix - Wikipedia

    en.wikipedia.org/wiki/Document-term_matrix

    which shows which documents contain which terms and how many times they appear. Note that, unlike representing a document as just a token-count list, the document-term matrix includes all terms in the corpus (i.e. the corpus vocabulary), which is why there are zero-counts for terms in the corpus which do not also occur in a specific document.

  9. Property list - Wikipedia

    en.wikipedia.org/wiki/Property_list

    Property list files use the filename extension.plist, and thus are often referred to as p-list files. Property list files are often used to store a user's settings. They are also used to store information about bundles and applications , a task served by the resource fork in the old Mac OS.