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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
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Trends in Parsing Technology - Dependency Parsing, Domain Adaptation, and Deep Parsing (Paperback, 2010 ed.)
Loot Price: R2,793
Discovery Miles 27 930
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Trends in Parsing Technology - Dependency Parsing, Domain Adaptation, and Deep Parsing (Paperback, 2010 ed.)
Series: Text, Speech and Language Technology, 43
Expected to ship within 10 - 15 working days
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Total price: R2,813
Discovery Miles: 28 130
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Computer parsing technology, which breaks down complex linguistic
structures into their constituent parts, is a key research area in
the automatic processing of human language. This volume is a
collection of contributions from leading researchers in the field
of natural language processing technology, each of whom detail
their recent work which includes new techniques as well as results.
The book presents an overview of the state of the art in current
research into parsing technologies, focusing on three important
themes: dependency parsing, domain adaptation, and deep parsing.
The technology, which has a variety of practical uses, is
especially concerned with the methods, tools and software that can
be used to parse automatically. Applications include extracting
information from free text or speech, question answering, speech
recognition and comprehension, recommender systems, machine
translation, and automatic summarization. New developments in the
area of parsing technology are thus widely applicable, and
researchers and professionals from a number of fields will find the
material here required reading. As well as the other four volumes
on parsing technology in this series this book has a breadth of
coverage that makes it suitable both as an overview of the field
for graduate students, and as a reference for established
researchers in computational linguistics, artificial intelligence,
computer science, language engineering, information science, and
cognitive science. It will also be of interest to designers,
developers, and advanced users of natural language processing
systems, including applications such as spoken dialogue, text
mining, multimodal human-computer interaction, and semantic web
technology.
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