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Studies in Natural Language ProcessingBack to Language and linguistics Editor: Steven BirdThis series offers widely accessible accounts of the state-of-the-art in natural language processing (NLP). Established on the foundations of formal language theory and statistical learning, NLP is burgeoning with the widespread use of large annotated corpora, rich models of linguistic structure, and rigorous evaluation methods. New multilingual and multimodal language technologies have been stimulated by the growth of the web and pervasive computing devices. The series strikes a balance between statistical versus symbolic methods, deep versus shallow processing; rationalism versus empiricism; and fundamental science versus engineering. Each volume sheds light on these pervasive themes, delving into theoretical foundations and current applications. The series is aimed at a broad audience who are directly or indirectly involved in natural language processing, from fields including corpus linguistics, psycholinguistics, information retrieval, machine learning, spoken language, human-computer interaction, robotics, language learning, ontologies, and databases.
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There are 41 titles in this series... A Computational Theory of Writing Systems
A Computational Theory of Writing Systems
Building Natural Language Generation Systems
Building Natural Language Generation Systems
Challenges in Natural Language Processing
Challenges in Natural Language Processing
Computational Lexical Semantics
Computational Lexical Semantics
Computational Linguistics
An Introduction
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