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Více informací o knize Unsupervised Learning of Natural Languages

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Anotace knihy

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 clusters §that are said to correspond to various syntactic §categories (such as nouns or verbs). Such structure, §however, is not limited to the natural languages: §recurring motifs are found, on a level of §description that is common to all life on earth, in §the base sequences of DNA that constitute the §genome. In this book, I address the problem of §extracting patterns from natural sequential data and §inferring the underlying rules that govern their §production. This is relevant to both linguistics and §bioinformatics, two fields that investigate §sequential symbolic data that are hierarchical and §context sensitive.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Information technology: general issues

• Plný název: Unsupervised Learning of Natural Languages
• Podnázev: Revealing the structures behind human languages, proteins, DNA and other sequential data
• Autor: Zach Solan
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 128
• EAN: 9783639145083
• ISBN: 3639145089
• ID: 06823098
• Nakladatelství: VDM Verlag
• Hmotnost: 200 g
• Rozměry: 229 × 152 × 8 mm
• Datum vydání: 01. June 2009

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