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Books > Computing & IT > Applications of computing > Artificial intelligence
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Structure Discovery in Natural Language (Paperback, 2012)
Loot Price: R2,873
Discovery Miles 28 730
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Structure Discovery in Natural Language (Paperback, 2012)
Series: Theory and Applications of Natural Language Processing
Expected to ship within 10 - 15 working days
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Current language technology is dominated by approaches that either
enumerate a large set of rules, or are focused on a large amount of
manually labelled data. The creation of both is time-consuming and
expensive, which is commonly thought to be the reason why automated
natural language understanding has still not made its way into
"real-life" applications yet. This book sets an ambitious goal: to
shift the development of language processing systems to a much more
automated setting than previous works. A new approach is defined:
what if computers analysed large samples of language data on their
own, identifying structural regularities that perform the necessary
abstractions and generalisations in order to better understand
language in the process? After defining the framework of Structure
Discovery and shedding light on the nature and the graphic
structure of natural language data, several procedures are
described that do exactly this: let the computer discover
structures without supervision in order to boost the performance of
language technology applications. Here, multilingual documents are
sorted by language, word classes are identified, and semantic
ambiguities are discovered and resolved without using a dictionary
or other explicit human input. The book concludes with an outlook
on the possibilities implied by this paradigm and sets the methods
in perspective to human computer interaction. The target audience
are academics on all levels (undergraduate and graduate students,
lecturers and professors) working in the fields of natural language
processing and computational linguistics, as well as natural
language engineers who are seeking to improve their systems.
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