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This book provides the first broad yet thorough coverage of issues in morphological theory. It includes a wide array of techniques and systems in computational morphology (including discussion of their limitations), and describes some unusual applications.Sproat motivates the study of computational morphology by arguing that a computational natural language system, such as a parser or a generator, must incorporate a model of morphology. He discusses a range of applications for programs with knowledge of morphology, some of which are not generally found in the literature. Sproat then provides an overview of some of the basic descriptive facts about morphology and issues in theoretical morphology and (lexical) phonology, as well as psycholinguistic evidence for human processing of morphological structure. He take up the basic techniques that have been proposed for doing morphological processing and discusses at length various systems (such as DECOMP and KIMMO) that incorporate part or all of those techniques, pointing out the inadequacies of such systems from both a descriptive and a computational point of view. He concludes by touching on interesting peripheral areas such as the analysis of complex nominals in English, and on the main contributions of Rumelhart and McClelland's connectionism to the computational analysis of words.
This handbook of computational linguistics, written for academics, graduate students and researchers, provides a state-of-the-art reference to one of the most active and productive fields in linguistics.
This new edition of Understanding Morphology has been fully revised in line with the latest research. It now includes 'big picture' questions to highlight central themes in morphology, as well as research exercises for each chapter. Understanding Morphology presents an introduction to the study of word structure that starts at the very beginning. Assuming no knowledge of the field of morphology on the part of the reader, the book presents a broad range of morphological phenomena from a wide variety of languages. Starting with the core areas of inflection and derivation, the book presents the interfaces between morphology and syntax and between morphology and phonology. The synchronic study of word structure is covered, as are the phenomena of diachronic change, such as analogy and grammaticalization. Theories are presented clearly in accessible language with the main purpose of shedding light on the data, rather than as a goal in themselves. The authors consistently draw on the best research available, thus utilizing and discussing both functionalist and generative theoretical approaches. Each chapter includes a summary, suggestions for further reading, and exercises. As such this is the ideal book for both beginning students of linguistics, or anyone in a related discipline looking for a first introduction to morphology.
Previous work on morphology has largely tended either to avoid precise computational details or to ignore linguistic generality. Computational Morphologyis the first book to present an integrated set of techniques for the rigorous description of morphological phenomena in English and similar languages. By taking account of all facets of morphological analysis, it provides a linguistically general and computationally practical dictionary system for use within an English parsing program. The authors covermorphographemics (variations in spelling as words are built from their component morphemes),morphotactics (the ways that different classes of morphemes can combine, and the types of words that result), andlexical redundancy (patterns of similarity and regularity among the lexical entries for words). They propose a precise rule-notation for each of these areas of linguistic description and present the algorithms for using these rules computationally to manipulate dictionary information. These mechanisms have been implemented in practical and publicly available software, which is described in detail, and appendixes contain a large number of computer-tested sets of rules and lexical entries for English. Graeme D. Ritchie is a Senior Lecturer in the Department of Artificial Intelligence at the University of Edinburgh, where Alan W. Black is currently a research student. Graham J. Russell is a Research Fellow at ISSCO (Institut Dalle Molle pour les etudes semantiques et cognitives) in Geneva, and Stephen G. Pulman is a Lecturer in the University of Cambridge Computer Laboratory and Director of SRI International's Cambridge Computer Science Research Centre.
The finite-state paradigm of computer science has provided a basis for natural-language applications that are efficient, elegant, and robust. This volume is a practical guide to finite-state theory and the affiliated programming languages lexc and xfst. Readers will learn how to write tokenizers, spelling checkers, and especially morphological analyzer/generators for words in English, French, Finnish, Hungarian, and other languages. Included are graded introductions, examples, and exercises suitable for individual study as well as formal courses. These take advantage of widely-tested lexc and xfst applications that are just becoming available for noncommercial use via the Internet.
The Cambridge Handbook of Morphology describes the diversity of morphological phenomena in the world's languages, surveying the methodologies by which these phenomena are investigated and the theoretical interpretations that have been proposed to explain them. The Handbook provides morphologists with a comprehensive account of the interlocking issues and hypotheses that drive research in morphology; for linguists generally, it presents current thought on the interface of morphology with other grammatical components and on the significance of morphology for understanding language change and the psychology of language; for students of linguistics, it is a guide to the present-day landscape of morphological science and to the advances that have brought it to its current state; and for readers in other fields (psychology, philosophy, computer science, and others), it reveals just how much we know about systematic relations of form to content in a language's words - and how much we have yet to learn.
CICLing 2003 (www.CICLing.org) was the 4th annual Conference on Intelligent Text Processing and Computational Linguistics. It was intended to provide a balanced view of the cutting-edge developments in both the theoretical foundations of computational linguistics and the practice of natural language text processing with its numerous applications. A feature of CICLing conferences is their wide scope that covers nearly all areas of computational linguistics and all aspects of natural language processing applications. The conference is a forum for dialogue between the specialists working in these two areas. This year we were honored by the presence of our keynote speakers Eric Brill (Microsoft Research, USA), Aravind Joshi (U. Pennsylvania, USA), Adam Kilgarriff (Brighton U., UK), and Ted Pedersen (U. Minnesota, USA), who delivered excellent extended lectures and organized vivid discussions. Of 92 submissions received, after careful reviewing 67 were selected for presentation; 43 as full papers and 24 as short papers, by 150 authors from 23 countries: Spain (23 authors), China (20), USA (16), Mexico (13), Japan (12), UK (11), Czech Republic (8), Korea and Sweden (7 each), Canada and Ireland (5 each), Hungary (4), Brazil (3), Belgium, Germany, Italy, Romania, Russia and Tunisia (2 each), Cuba, Denmark, Finland and France (1 each).
This study explores the design and application of natural language text-based processing systems, based on generative linguistics, empirical copus analysis, and artificial neural networks. It emphasizes the practical tools to accommodate the selected system.
This book constitutes the refereed proceedings of the Second International Workshop on Systems and Frameworks for Computational Morphology, SFCM 2011, held in Zurich, Switzerland in August 2011. The eight revised full papers presented together with one invited paper were carefully reviewed and selected from 13 submissions. The papers address various topics in computational morphology and the relevance of morphology to computational linguistics more broadly.