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Natural-language programming (NLP) is an ontology-assisted way of programming in terms of natural-language sentences, e.g. English. [1] A structured document with Content, sections and subsections for explanations of sentences forms a NLP document, which is actually a computer program. Natural language programming is not to be mixed up with ...
Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.
Natural language processing, a field of computer science and linguistics Neuro-linguistic programming , a pseudoscientific method aimed at modifying human behavior Computer programming
Context-free language – Controlled natural language – a natural language with a restriction introduced on its grammar and vocabulary in order to eliminate ambiguity and complexity; Corpus – body of data, optionally tagged (for example, through part-of-speech tagging), providing real world samples for analysis and comparison.
A text-to-video model is a machine learning model that uses a natural language description as input to produce a video relevant to the input text. [1] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models .
Natural language; Native-language identification; Natural Language Processing (journal) Natural Language Toolkit; Natural language understanding; Natural-language user interface; Natural-language programming; NetOwl; News analytics; Niki.ai; Noisy text analytics
Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [7] OpenAI trained the model using publicly available videos as well as copyrighted videos licensed for the purpose, but did not reveal the number or the exact source of the videos. [5]
In 2017 researchers at OpenAI demonstrated a multi-agent environment and learning methods that bring about emergence of a basic language ab initio without starting from a pre-existing language. The language consists of a stream of "ungrounded" (initially meaningless) abstract discrete symbols uttered by agents over time, which comes to evolve a ...