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  2. T5 (language model) - Wikipedia

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

    T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [1] [2] Like the original Transformer model, [3] T5 models are encoder-decoder Transformers, where the encoder processes the input text, and the decoder generates the output text.

  3. Word embedding - Wikipedia

    en.wikipedia.org/wiki/Word_embedding

    In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]

  4. Byte pair encoding - Wikipedia

    en.wikipedia.org/wiki/Byte_pair_encoding

    Byte pair encoding [1] [2] (also known as BPE, or digram coding) [3] is an algorithm, first described in 1994 by Philip Gage, for encoding strings of text into smaller strings by creating and using a translation table. [4] A slightly-modified version of the algorithm is used in large language model tokenizers.

  5. Markup language - Wikipedia

    en.wikipedia.org/wiki/Markup_language

    Example of RecipeML, a simple markup language based on XML for creating recipes. The markup can be converted programmatically for display into, for example, HTML, PDF or Rich Text Format. A markup language is a text-encoding system which specifies the structure and formatting of a document and potentially the relationships among its parts. [1]

  6. Attention Is All You Need - Wikipedia

    en.wikipedia.org/wiki/Attention_Is_All_You_Need

    Positional encoding. Since the Transformer model is not a seq2seq model and does not rely on the sequence of the text in order to perform encoding and decoding, the paper relied on the use of sine and cosine wave functions to encode the position of the token into the embedding. The methods introduced in the paper are discussed below:

  7. Text Encoding Initiative - Wikipedia

    en.wikipedia.org/wiki/Text_Encoding_Initiative

    The Text Encoding Initiative (TEI) is a text-centric community of practice in the academic field of digital humanities, operating continuously since the 1980s. The community currently runs a mailing list, meetings and conference series, and maintains the TEI technical standard , a journal , [ 1 ] a wiki , a GitHub repository and a toolchain .

  8. LaTeXML - Wikipedia

    en.wikipedia.org/wiki/LaTeXML

    LaTeXML was started in the context of the Digital Library of Mathematical Functions at NIST, where LaTeX documents needed to be prepared for publication on the Web. The system has been under active development for over a decade, and has attracted a small, but dedicated community of developers and users centered on Bruce Miller, the original project author.

  9. Interlingual machine translation - Wikipedia

    en.wikipedia.org/wiki/Interlingual_machine...

    In this method of translation, the interlingua can be thought of as a way of describing the analysis of a text written in a source language such that it is possible to convert its morphological, syntactic, semantic (and even pragmatic) characteristics, that is "meaning" into a target language. This interlingua is able to describe all of the ...