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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
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Neural Representations of Natural Language (Hardcover, 1st ed. 2019)
Loot Price: R2,427
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Neural Representations of Natural Language (Hardcover, 1st ed. 2019)
Series: Studies in Computational Intelligence, 783
Expected to ship within 18 - 22 working days
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This book offers an introduction to modern natural language
processing using machine learning, focusing on how neural networks
create a machine interpretable representation of the meaning of
natural language. Language is crucially linked to ideas - as
Webster's 1923 "English Composition and Literature" puts it: "A
sentence is a group of words expressing a complete thought". Thus
the representation of sentences and the words that make them up is
vital in advancing artificial intelligence and other "smart"
systems currently being developed. Providing an overview of the
research in the area, from Bengio et al.'s seminal work on a
"Neural Probabilistic Language Model" in 2003, to the latest
techniques, this book enables readers to gain an understanding of
how the techniques are related and what is best for their purposes.
As well as a introduction to neural networks in general and
recurrent neural networks in particular, this book details the
methods used for representing words, senses of words, and larger
structures such as sentences or documents. The book highlights
practical implementations and discusses many aspects that are often
overlooked or misunderstood. The book includes thorough instruction
on challenging areas such as hierarchical softmax and negative
sampling, to ensure the reader fully and easily understands the
details of how the algorithms function. Combining practical aspects
with a more traditional review of the literature, it is directly
applicable to a broad readership. It is an invaluable introduction
for early graduate students working in natural language processing;
a trustworthy guide for industry developers wishing to make use of
recent innovations; and a sturdy bridge for researchers already
familiar with linguistics or machine learning wishing to understand
the other.
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