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  2. GPT-2 - Wikipedia

    en.wikipedia.org/wiki/GPT-2

    It is a general-purpose learner and its ability to perform the various tasks was a consequence of its general ability to accurately predict the next item in a sequence, [2] [7] which enabled it to translate texts, answer questions about a topic from a text, summarize passages from a larger text, [7] and generate text output on a level sometimes ...

  3. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.

  4. List comprehension - Wikipedia

    en.wikipedia.org/wiki/List_comprehension

    Here, the list [0..] represents , x^2>3 represents the predicate, and 2*x represents the output expression.. List comprehensions give results in a defined order (unlike the members of sets); and list comprehensions may generate the members of a list in order, rather than produce the entirety of the list thus allowing, for example, the previous Haskell definition of the members of an infinite list.

  5. Filler text - Wikipedia

    en.wikipedia.org/wiki/Filler_text

    Filler text (also placeholder text or dummy text) is text that shares some characteristics of a real written text, but is random or otherwise generated. It may be used to display a sample of fonts , generate text for testing, or to spoof an e-mail spam filter .

  6. Text segmentation - Wikipedia

    en.wikipedia.org/wiki/Text_segmentation

    Text segmentation is the process of dividing written text into meaningful units, such as words, sentences, or topics. The term applies both to mental processes used by humans when reading text, and to artificial processes implemented in computers, which are the subject of natural language processing .

  7. Syntactic Structures - Wikipedia

    en.wikipedia.org/wiki/Syntactic_Structures

    Chomsky applied Post's work on logical inference to describe sets of strings (sequence of letters or sounds) of a human language. When he says a finite set of rules "generate" (i.e. "recursively enumerate" [ 73 ] ) the set of potentially infinite number of sentences of a particular human language, he means that they provide an explicit ...

  8. Widows and orphans - Wikipedia

    en.wikipedia.org/wiki/Widows_and_orphans

    The last line of a paragraph continuing on to a new page (highlighted yellow) is a widow (sometimes called an orphan). In typesetting, widows and orphans are single lines of text from a paragraph that dangle at either the beginning or end of a block of text, or form a very short final line at the end of a paragraph. [1]

  9. Template:Lorem ipsum - Wikipedia

    en.wikipedia.org/wiki/Template:Lorem_ipsum

    It takes four parameters: the number of paragraphs to generate, paragraph prefix, paragraph suffix, and an option to link lorem ipsum. There are 10 distinct paragraphs. Note that, for the sake of accuracy, you can also use {{ Dolorem ipsum }} — which is the same template in every respect, but uses the actual text of De finibus bonorum et ...