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Print the letter's closing [9] The lists of words were compiled by Strachey from a Roget's Thesaurus. [10] Although the list of words included several variations on the word love, none of these variations made it into any of the widely circulated letters generated by Strachey's procedure. [2]
John Clark's Latin Verse Machine (1830–1843) is probably the first example of mechanised generative literature, [1] [2] while Christopher Strachey's love letter generator (1952) is the first digital example. [3] With the large language models (LLMs) of the 2020s, generative literature is becoming increasingly common.
Compare and contrast essays are characterized by a basis for comparison, points of comparison, and analogies. It is grouped by the object (chunking) or by point (sequential). The comparison highlights the similarities between two or more similar objects while contrasting highlights the differences between two or more objects.
The 1952 love letter generator that the British computer scientist Christopher Strachey wrote for the Manchester Mark 1 computer is probably the first example of literature that requires a computer to be generated or read. [13] [14] [15] The work generates short love letters, and is an example of combinatory poetry, also called generative ...
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The word with embeddings most similar to the topic vector might be assigned as the topic's title, whereas far away word embeddings may be considered unrelated. As opposed to other topic models such as LDA , top2vec provides canonical ‘distance’ metrics between two topics, or between a topic and another embeddings (word, document, or otherwise).
Text Python Any 2002/01/— 3.0 (2008) MIT: fpdoc (Free Pascal Documentation Generator) Sebastian Guenther and Free Pascal Core Text (Object)Pascal/Delphi FPC tier 1 targets 2005 3.2.2 GPL reusable parts are GPL with static linking exception Haddock: Simon Marlow: Text Haskell Any 2002 2.15.0 (2014) BSD HeaderDoc: Apple Inc. Text
A paper generator is computer software that composes scholarly papers in the style of those that appear in academic journals or conference proceedings. Typically, the generator uses technical jargon from the field to compose sentences that are grammatically correct and seem erudite but are actually nonsensical. [ 1 ]