Knowledge and Learning in Natural Language

Knowledge and Learning in Natural Language
Author: Charles D. Yang
Publisher: Oxford University Press, USA
Total Pages: 196
Release: 2002
Genre: Language Arts & Disciplines
ISBN: 9780199254156


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The model is makes quantitative and cross-linguistic predictions about child language. It may also be deployed as a predictive model of language change which, when the evidence is available, could explain why grammars change in a particular direction at a particular time.


Knowledge and Learning in Natural Language
Language: en
Pages: 196
Authors: Charles D. Yang
Categories: Language Arts & Disciplines
Type: BOOK - Published: 2002 - Publisher: Oxford University Press, USA

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The model is makes quantitative and cross-linguistic predictions about child language. It may also be deployed as a predictive model of language change which, w
Representation Learning for Natural Language Processing
Language: en
Pages: 319
Authors: Zhiyuan Liu
Categories: Computers
Type: BOOK - Published: 2020-07-03 - Publisher: Springer Nature

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This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing
Transfer Learning for Natural Language Processing
Language: en
Pages: 262
Authors: Paul Azunre
Categories: Computers
Type: BOOK - Published: 2021-08-31 - Publisher: Simon and Schuster

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Build custom NLP models in record time by adapting pre-trained machine learning models to solve specialized problems. Summary In Transfer Learning for Natural L
Natural Language Processing and Knowledge Representation
Language: en
Pages: 490
Authors: Łucja M. Iwańska
Categories: Computers
Type: BOOK - Published: 2000-06-19 - Publisher: AAAI Press

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"Traditionally, knowledge representation and reasoning systems have incorporated natural language as interfaces to expert systems or knowledge bases that perfor
Practical Natural Language Processing
Language: en
Pages: 455
Authors: Sowmya Vajjala
Categories: Computers
Type: BOOK - Published: 2020-06-17 - Publisher: O'Reilly Media

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Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and sc