The most frequently used words in English are highly ambiguous; for example, Webster's Ninth New Collegiate Dictionary lists 94 meanings for the word "run" as a verb alone. Yet people rarely notice this ambiguity. Solving this puzzle has commanded the efforts of cognitive scientists for many years. The solution most often identified is "context": we use the context of utterance to determine the proper meanings of words and sentences. The problem then becomes specifying the nature of context and how it interacts with the rest of an understanding system. The difficulty becomes especially apparent in the attempt to write a computer program to understand natural language. Lexical ambiguity resolution (LAR), then, is one of the central problems in natural language and computational semantics research. A collection of the best research on LAR available, this volume offers eighteen original papers by leading scientists. Part I, Computer Models, describes nine attempts to discover the processes necessary for disambiguation by implementing programs to do the job. Part II, Empirical Studies, goes into the laboratory setting to examine the nature of the human disambiguation mechanism and the structure of ambiguity itself. A primary goal of this volume is to propose a cognitive science perspective arising out of the conjunction of work and approaches from neuropsychology, psycholinguistics, and artificial intelligence--thereby encouraging a closer cooperation and collaboration among these fields. Lexical Ambiguity Resolution is a valuable and accessible source book for students and cognitive scientists in AI, psycholinguistics, neuropsychology, or theoretical linguistics.

Sets out state-of-the-art methodological and theoretical advancements to shed light on how bilingual speakers comprehend ambiguous information.

This volume is concerned with how ambiguity and ambiguity resolution are learned, that is, with the acquisition of the different representations of ambiguous linguistic forms and the knowledge necessary for selecting among them in context. Schütze concentrates on how the acquisition of ambiguity is possible in principle and demonstrates that particular types of algorithms and learning architectures (such as unsupervised clustering and neural networks) can succeed at the task. Three types of lexical ambiguity are treated: ambiguity in syntactic categorisation, semantic categorisation, and verbal subcategorisation. The volume presents three different models of ambiguity acquisition: Tag Space, Word Space, and Subcat Learner, and addresses the importance of ambiguity in linguistic representation and its relevance for linguistic innateness.

Semantic interpretation and the resolution of ambiguity presents an important advance in computer understanding of natural language. While parsing techniques have been greatly improved in recent years, the approach to semantics has generally improved in recent years, the approach to semantics has generally been ad hoc and had little theoretical basis. Graeme Hirst offers a new, theoretically motivated foundation for conceptual analysis by computer, and shows how this framework facilitates the resolution of lexical and syntactic ambiguities. His approach is interdisciplinary, drawing on research in computational linguistics, artificial intelligence, montague semantics, and cognitive psychology.

The authors present a comprehensive overview of past research in ambiguity in the field of psycholinguistics. Experimental results have often been equivocal in allowing a choice between the single-reading hypothesis and the multiple-reading hypothesis of processing of ambiguous sentences. This text reviews the arguments and experimental results in support of each of these views, and further investigates the contributions of context and thematic constraints in the process of ambiguity resolution. Commentary is also made on the possible hierarchical ordering of difficulty in the treatment of ambiguity, as well as critically related considerations like bias, individual differences, general cognitive strategies for dealing with multiphase representations, and the inherent differences between lexical and syntactic ambiguity.

One of the liveliest forums for sharing psychological, linguistic, philosophical, and computer science perspectives on psycholinguistics has been the annual meeting of the CUNY Sentence Processing Conference. Documenting the state of the art in several important approaches to sentence processing, this volume consists of selected papers that had been presented at the Sixth CUNY Conference. The editors not only present the main themes that ran through the conference but also honor the breadth of the presentations from disciplines including linguistics, experimental psychology, and computer science. The variety of sentence processing topics examined includes: * how evoked brain potentials reflect sentence comprehension * how auditory words are processed * how various sources of grammatical and nongrammatical information are coordinated and used * how sentence processing and language acquisition might be related. This distinctive volume not only presents the most exciting current work in sentence processing, but also places this research into the broader context of theorizing about it.

Resolving Semantic Ambiguity arrrays the work of leading theorists on the issues surrounding the meaning and interpretation of ambiguous text. The chapters are organized around three major themes: (1) retrieval, (2) representation of words, and (3) text as a context. The book offers a number of new challenges to the role of context in language processing, some striking new evidence on the repetition of homographs in different contexts, and new approaches to resolution capable of being incorporated into either modular or network models. In several papers the problem of ambiguity is extended to include the problem of weak ambiguity and understanding text themes. The book provides a unique starting point for researchers approaching the problems of meaning in cognitive science, psychology, and computational linguistics.

Bilingual Sentence Processing

This is an exciting time for Artificial Intelligence, and for Natural Language Processing in particular. Over the last five years or so, a newly revived spirit has gained prominence that promises to revitalize the whole field: the spirit of empiricism. This book introduces a new approach to the important NLP issue of automatic ambiguity resolution, based on statistical models of text. This approach is compared with previous work and proved to yield higher accuracy for natural language analysis. An effective implementation strategy is also described, which is directly useful for natural language analysis. The book is noteworthy for demonstrating a new empirical approach to NLP; it is essential reading for researchers in natural language processing or computational linguistics.

The ability to communicate through spoken and written language is one of the defining characteristics of the human race, yet it remains a deeply mysterious process. The young science of psycholinguistics attempts to uncover the mechanisms and representations underlying human language. This interdisciplinary field has seen massive developments over the past decade, with a broad expansion of the research base, and the incorporation of new experimental techniques such as brain imaging and computational modelling. The result is that real progress is being made in the understanding of the key components of language in the mind. The Oxford Handbook of Psycholinguistics brings together the views of 75 leading researchers in psycholinguistics to provide a comprehensive and authoritative review of the current state of the art in psycholinguistics. With almost 50 chapters written by experts in the field, the range and depth of coverage is unequalled. The contributors are eminent in a wide range of fields, including psychology, linguistics, human memory, cognitive neuroscience, bilingualism, genetics, development and neuropsychology. Their contributions are organised into six themed sections, covering word recognition, the mental lexicon, comprehension and discourse, language production, language development, and perspectives on psycholinguistics. The breadth of coverage, coupled with the accessibility of the short chapter format should make the handbook essential reading for both students and researchers in the fields of psychology, linguistics and neuroscience.