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  2. Natural language generation - Wikipedia

    en.wikipedia.org/wiki/Natural_language_generation

    Natural language generation (NLG) is a software process that produces natural language output. A widely-cited survey of NLG methods describes NLG as "the subfield of artificial intelligence and computational linguistics that is concerned with the construction of computer systems that can produce understandable texts in English or other human languages from some underlying non-linguistic ...

  3. Natural-language programming - Wikipedia

    en.wikipedia.org/wiki/Natural-language_programming

    Definition of an ontology – taxonomy – of concepts needed to describe tasks in the topic addressed. Each concept and all their attributes are defined in natural-language words. This ontology will define the data structures the NLP can use in sentences. Definition of one or more top-level sentences in terms of concepts from the ontology.

  4. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    Generative language models are not trained on the translation task, let alone on a parallel dataset. Instead, they are trained on a language modeling objective, such as predicting the next word in a sequence drawn from a large dataset of text. This dataset can contain documents in many languages, but is in practice dominated by English text. [36]

  5. Content determination - Wikipedia

    en.wikipedia.org/wiki/Content_determination

    Content determination is the subtask of natural language generation (NLG) that involves deciding on the information to be communicated in a generated text. It is closely related to the task of document structuring.

  6. Document structuring - Wikipedia

    en.wikipedia.org/wiki/Document_structuring

    Note that narrative in this sense applies to factual texts as well as stories. Current NLG systems do not do a good job of generating narratives, and this is a major source of user criticism. [7] Generating good narratives is a challenge for all aspects of NLG, but the most fundamental challenge is probably in document structuring.

  7. Realization (linguistics) - Wikipedia

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

    Realization is also a subtask of natural language generation, which involves creating an actual text in a human language (English, French, etc.) from a syntactic representation. There are a number of software packages available for realization, most of which have been developed by academic research groups in NLG.

  8. What does NSFW mean? Study reveals text abbreviations ... - AOL

    www.aol.com/does-nsfw-mean-study-reveals...

    Here’s a roundup of the texting abbreviations that confused Floridians the most in this study and a list of what some popular TikTok slang words mean. What does NSFW mean on social media?

  9. Help:Overview of referencing styles - Wikipedia

    en.wikipedia.org/wiki/Help:Overview_of...

    The in-text cite may be defined with a name so they can be reused within the content and may be separated into groups for use as explanatory notes, table legends and the like. The reference list shows the full citations with a cite label that matches the in-text cite. The cite label is a caret ^ with a backlink to the in-text cite. When a named ...