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  2. Lexical density - Wikipedia

    en.wikipedia.org/wiki/Lexical_density

    Lexical density estimates the linguistic complexity in a written or spoken composition from the functional words (grammatical units) and content words (lexical units, lexemes). One method to calculate the lexical density is to compute the ratio of lexical items to the total number of words. Another method is to compute the ratio of lexical ...

  3. Linguistic performance - Wikipedia

    en.wikipedia.org/wiki/Linguistic_performance

    This density is calculated as a ratio of the total number of clauses across sentences, divide by the number of sentences in a discourse sample. [30] For example, if the clause density is 2.0, the ratio would indicate that the sentence being analyzed has 2 clauses on average: one main clause and one subordinate clause.

  4. Readability - Wikipedia

    en.wikipedia.org/wiki/Readability

    Readability is the ease with which a reader can understand a written text.The concept exists in both natural language and programming languages though in different forms. In natural language, the readability of text depends on its content (the complexity of its vocabulary and syntax) and its presentation (such as typographic aspects that affect legibility, like font size, line height ...

  5. The quick brown fox jumps over the lazy dog - Wikipedia

    en.wikipedia.org/wiki/The_quick_brown_fox_jumps...

    The quick brown fox jumps over the lazy dog. " The quick brown fox jumps over the lazy dog " is an English-language pangram – a sentence that contains all the letters of the alphabet. The phrase is commonly used for touch-typing practice, testing typewriters and computer keyboards, displaying examples of fonts, and other applications ...

  6. Language model - Wikipedia

    en.wikipedia.org/wiki/Language_model

    A language model is a probabilistic model of a natural language. [1] In 1980, the first significant statistical language model was proposed, and during the decade IBM performed ‘Shannon-style’ experiments, in which potential sources for language modeling improvement were identified by observing and analyzing the performance of human subjects in predicting or correcting text.

  7. Letter spacing - Wikipedia

    en.wikipedia.org/wiki/Letter_spacing

    Letter spacing. Letter spacing, character spacing or tracking is an optically consistent typographical adjustment to the space between letters to change the visual density of a line or block of text. Letter spacing is distinct from kerning, which adjusts the spacing of particular pairs of adjacent characters such as "7."

  8. Sentence spacing - Wikipedia

    en.wikipedia.org/wiki/Sentence_spacing

    Sentence spacing concerns how spaces are inserted between sentences in typeset text and is a matter of typographical convention. [ 1 ] Since the introduction of movable-type printing in Europe, various sentence spacing conventions have been used in languages with a Latin alphabet. [ 2 ] These include a normal word space (as between the words in ...

  9. Sentence embedding - Wikipedia

    en.wikipedia.org/wiki/Sentence_embedding

    t. e. In natural language processing, a sentence embedding refers to a numeric representation of a sentence in the form of a vector of real numbers which encodes meaningful semantic information. [1][2][3][4][5][6][7] State of the art embeddings are based on the learned hidden layer representation of dedicated sentence transformer models.

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