Structure Discovery in Natural Language Contributor(s): Biemann, Chris (Author), Van Den Bosch, Antal (Foreword by) |
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ISBN: 3642259227 ISBN-13: 9783642259227 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: December 2011 |
Additional Information |
BISAC Categories: - Computers | Intelligence (ai) & Semantics - Language Arts & Disciplines | Linguistics - General - Mathematics | Graphic Methods |
Dewey: 006.3 |
Series: Theory and Applications of Natural Language Processing |
Physical Information: 0.7" H x 6.1" W x 9.2" (0.88 lbs) 180 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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? 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. |