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  3. Studies in Natural Language Processing

Volumes in the Studies in Natural Language Processing series provide comprehensive surveys of current research topics and applications in the field of natural language processing (NLP) that shed light on language technology, language cognition, language and society, and linguistics. The increased availability of language corpora and digital media, as well as advances in computer technology and data sciences, has led to important new findings in the field. Widespread applications include voice-activated interfaces, translation, search engine optimization, and affective computing. NLP also has applications in areas such as knowledge engineering, language learning, digital humanities, corpus linguistics, and textual analysis. These volumes will be of interest to researchers and graduate students working in NLP and other fields related to the processing of language and knowledge.

  • General Editors: Chu-Ren Huang, The Hong Kong Polytechnic University
  • Associate Editors: Qi Su, Peking University, School of Foreign Languages
  • Editorial Boards: Kenneth Church, Northeastern University, Massachusetts, Alessandro Lenci, Università di Pisa, Lori Levin, Carnegie Mellon University, Pennsylvania, Yuji Matsumoto, Nara Institute of Technology, Japan, Laurent Prévot, Laboratoire parole et langage, Centre national de la recherche scientifique, and Aix-Marseille Université, Nianwen Xue, Brandeis University, Massachusetts

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24 results in Studies in Natural Language Processing

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Computational Lexical Semantics
  • Edited by Patrick Saint-Dizier, Evelyn Viegas
  • Published online:
    29 September 2009
    Print publication:
    24 February 1995
  • Lexical semantics has become a major research area within computational linguistics, drawing from psycholinguistics, knowledge representation, computer algorithms and architecture. Research programmes whose goal is the definition of large lexicons are asking what the appropriate representation structure is for different facets of lexical information. Among these facets, semantic information is probably the most complex and the least explored. Computational Lexical Semantics is one of the first volumes to provide models for the creation of various kinds of computerized lexicons for the automatic treatment of natural language, with applications to machine translation, automatic indexing, and database front-ends, knowledge extraction, among other things. It focuses on semantic issues, as seen by linguists, psychologists and computer scientists. Besides describing academic research, it also covers ongoing industrial projects.

Memory-Based Language Processing
  • Walter Daelemans, Antal van den Bosch
  • Published online:
    22 September 2009
    Print publication:
    01 September 2005
  • Memory-based language processing - a machine learning and problem solving method for language technology - is based on the idea that the direct reuse of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information. By applying the model to a range of benchmark problems, the authors show that for linguistic areas ranging from phonology to semantics, it produces excellent results. They also describe TiMBL, a software package for memory-based language processing. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers.

Language, Cohesion and Form
  • Margaret Masterman
  • Edited by Yorick Wilks
  • Published online:
    22 September 2009
    Print publication:
    16 January 2005
  • Margaret Masterman was a pioneer in the field of computational linguistics. Working in the earliest days of language processing by computer, she believed that meaning, not grammar, was the key to understanding languages, and that machines could determine the meaning of sentences. She was able, even on simple machines, to undertake sophisticated experiments in machine translation, and carried out important work on the use of semantic codings and thesauri to determine the meaning structure of texts. This volume brings together Masterman's groundbreaking papers for the first time. Through his insightful commentaries, Yorick Wilks argues that Masterman came close to developing a computational theory of language meaning based on the ideas of Wittgenstein, and shows the importance of her work in the philosophy of science and the nature of iconic languages. Of key interest in computational linguistics and artificial intelligence, it will remind scholars of Masterman's significant contribution to the field.

Building Natural Language Generation Systems
  • Ehud Reiter, Robert Dale
  • Published online:
    25 August 2009
    Print publication:
    28 January 2000
  • This book explains how to build Natural Language Generation (NLG) systems - computer software systems which use techniques from artificial intelligence and computational linguistics to automatically generate understandable texts in English or other human languages, either in isolation or as part of multimedia documents, Web pages, and speech output systems. Typically starting from some non-linguistic representation of information as input, NLG systems use knowledge about language and the application domain to automatically produce documents, reports, explanations, help messages, and other kinds of texts. The book covers the algorithms and representations needed to perform the core tasks of document planning, microplanning, and surface realization, using a case study to show how these components fit together. It also discusses engineering issues such as system architecture, requirements analysis, and the integration of text generation into multimedia and speech output systems.

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