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Unsupervised Learning of Natural Languages. Revealing the structures behind human languages, proteins, DNA and other sequential data

Код 910979

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Аннотация к книге "Unsupervised Learning of Natural Languages. Revealing the structures behind human languages, proteins, DNA and other sequential data"

Many types of sequential symbolic data possess structure that is (i) hierarchical, and (ii) context- sensitive. Natural-language text or transcribed speech are prime examples of such data: a corpus of language consists of sentences, defined over a finite lexicon of symbols such as words. Linguists traditionally analyze the sentences into recursively structured phrasal constituents; at the same time, a distributional analysis of partially aligned sentential contexts reveals in the lexicon...

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Издательство: Книга по требованию
Дата выхода: июль 2011
ISBN: 978-3-6391-4508-3
Объём: 128 страниц
Масса: 215 г
Размеры(высота, ширина, толщина), см: 23 x 16 x 1

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