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  2. Strachey love letter algorithm - Wikipedia

    en.wikipedia.org/wiki/Strachey_Love_Letter_algorithm

    Choose one of two sentence structures depending on a random value Rand; Fill the sentence structure from lists of adjectives, adverbs, substantives, and verbs. Print the letter's closing [9] The lists of words were compiled by Strachey from a Roget's Thesaurus. [10]

  3. SPL notation - Wikipedia

    en.wikipedia.org/wiki/SPL_notation

    SPL (Sentence Plan Language) is an abstract notation representing the semantics of a sentence in natural language. [1] In a classical Natural Language Generation (NLG) workflow, an initial text plan (hierarchically or sequentially organized factoids, often modelled in accordance with Rhetorical Structure Theory) is transformed by a sentence planner (generator) component to a sequence of ...

  4. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    In 2016, Reed, Akata, Yan et al. became the first to use generative adversarial networks for the text-to-image task. [5] [7] With models trained on narrow, domain-specific datasets, they were able to generate "visually plausible" images of birds and flowers from text captions like "an all black bird with a distinct thick, rounded bill".

  5. Determiner spreading - Wikipedia

    en.wikipedia.org/wiki/Determiner_spreading

    In Albanian, either of these sentence constructions in (1) and (2) are grammatical to mean the good boy.In both of the sentences the determiner i marks the referent boy.It is noted that the determiner i is a morphological entity to mark the adjectival class rather than definiteness of the noun, as is found in Greek below.

  6. Comparison of parser generators - Wikipedia

    en.wikipedia.org/.../Comparison_of_parser_generators

    Context-free languages are a category of languages (sometimes termed Chomsky Type 2) which can be matched by a sequence of replacement rules, each of which essentially maps each non-terminal element to a sequence of terminal elements and/or other nonterminal elements.

  7. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    doc2vec, generates distributed representations of variable-length pieces of texts, such as sentences, paragraphs, or entire documents. [14] [15] doc2vec has been implemented in the C, Python and Java/Scala tools (see below), with the Java and Python versions also supporting inference of document embeddings on new, unseen documents.

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