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  2. BERT (language model) - Wikipedia

    en.wikipedia.org/wiki/BERT_(language_model)

    Apache 2.0. Website. arxiv .org /abs /1810 .04805. Bidirectional Encoder Representations from Transformers ( BERT) is a language model introduced in October 2018 by researchers at Google. [ 1][ 2] It learned by self-supervised learning to represent text as a sequence of vectors. It had the transformer encoder architecture.

  3. T5 (language model) - Wikipedia

    en.wikipedia.org/wiki/T5_(language_model)

    T5 (language model) T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI. Introduced in 2019, [ 1] T5 models are trained on a massive dataset of text and code using a text-to-text framework. The T5 models are capable of performing the text-based tasks that they were pretrained for.

  4. Linguistics of Noam Chomsky - Wikipedia

    en.wikipedia.org/wiki/Linguistics_of_Noam_Chomsky

    The basis of Noam Chomsky's linguistic theory lies in biolinguistics, the linguistic school that holds that the principles underpinning the structure of language are biologically preset in the human mind and hence genetically inherited. [2] He argues that all humans share the same underlying linguistic structure, irrespective of sociocultural ...

  5. Five Ws - Wikipedia

    en.wikipedia.org/wiki/Five_Ws

    v. t. e. American government poster created during WWII featuring interrogatives. The Five Ws is a checklist used in journalism to ensure that the "lead" or "lede" contains all the essential points of a story. As far back as 1913, reporters were taught that the lead/lede should answer these questions: [ 1]

  6. Word n-gram language model - Wikipedia

    en.wikipedia.org/wiki/Word_n-gram_language_model

    A word n-gram language model is a purely statistical model of language. It has been superseded by recurrent neural network –based models, which have been superseded by large language models. [ 1] It is based on an assumption that the probability of the next word in a sequence depends only on a fixed size window of previous words.

  7. Language model - Wikipedia

    en.wikipedia.org/wiki/Language_model

    A language model is a probabilistic model of a natural language. [1] In 1980, the first significant statistical language model was proposed, and during the decade IBM performed ‘Shannon-style’ experiments, in which potential sources for language modeling improvement were identified by observing and analyzing the performance of human subjects in predicting or correcting text.

  8. Natural language processing - Wikipedia

    en.wikipedia.org/wiki/Natural_language_processing

    Natural language processing (NLP) is an interdisciplinary subfield of computer science and 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.

  9. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a computational model notable for its ability to achieve general-purpose language generation and other natural language processing tasks such as classification. Based on language models , LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a computationally ...