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  • Statistical Modeling for (Actual) Hypothesis Testing

    Building Cumulative Knowledge in Corpus Linguistics

    Series series Elements in Corpus Linguistics
    By building knowledge in a deliberate and systematic manner, we can gain a more complete understanding of a given research area relevant to corpus linguists. Specifically, empirically informed hypotheses (i.e., hypotheses that result from a synthesis of findings from all relevant prior studies) play a key role in this endeavor in that they enable us to test to what extent generalizations from ... Read more

    $23.99 CAD

  • Doing Linguistics with a Corpus

    Methodological Considerations for the Everyday User

    Series series Elements in Corpus Linguistics
    Paradoxically, doing corpus linguistics is both easier and harder than it has ever been before. On the one hand, it is easier because we have access to more existing corpora, more corpus analysis software tools, and more statistical methods than ever before. On the other hand, reliance on these existing corpora and corpus linguistic methods can potentially create layers of distance between the ... Read more

    $23.99 CAD

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    Series series Oxford Series on Cognitive Models and Architectures
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  • The Handbook of Computational Linguistics and Natural Language Processing

    Series series Wiley Handbooks in Linguistics
    This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP).Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forwardIncludes an introduction to the major theoretical issues in these fields, as well as the central engineering ... Read more

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  • Bayesian Models of Cognition

    Reverse Engineering the Mind

    The definitive introduction to Bayesian cognitive science, written by pioneers of the field.How does human intelligence work, in engineering terms? How do our minds get so much from so little? Bayesian models of cognition provide a powerful framework for answering these questions by reverse-engineering the mind. This textbook offers an authoritative introduction to Bayesian cognitive science and a ... Read more

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  • Introducing Language and Cognition

    A Map of the Mind

    In this accessible introduction, Mike Sharwood Smith provides a working model or 'map' of the mind, with language as its centrepiece. Drawing on cutting-edge research across linguistics, psychology and neuroscience, it allows students to quickly grasp how each separate aspect of the mind's operations can be related. This 'big picture' view includes the way the mind makes, stores and loses memories ... Read more

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  • Sentence Comprehension as a Cognitive Process

    A Computational Approach

    Sentence comprehension - the way we process and understand spoken and written language - is a central and important area of research within psycholinguistics. This book explores the contribution of computational linguistics to the field, showing how computational models of sentence processing can help scientists in their investigation of human cognitive processes. It presents the leading ... Read more

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  • Sequence Analysis

    Series series Quantitative Applications in the Social Sciences
    Sequence analysis (SA) was developed to study social processes that unfold over time as sequences of events. It has gained increasing attention as the availability of longitudinal data made it possible to address sequence-oriented questions. This volume introduces the basics of SA to guide practitioners and support instructors through the basic workflow of sequence analysis. In addition to the ... Read more

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    Series series Statistics in Practice
    A practical guide to analysing partially observed data.Collecting, analysing and drawing inferences from data is central to research in the medical and social sciences. Unfortunately, it is rarely possible to collect all the intended data. The literature on inference from the resulting incomplete data is now huge, and continues to grow both as methods are developed for large and complex data ... Read more

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    The classic edition of What If There Were No Significance Tests? highlights current statistical inference practices. Four areas are featured as essential for making inferences: sound judgment, meaningful research questions, relevant design, and assessing fit in multiple ways. Other options (data visualization, replication or meta-analysis), other features (mediation, moderation, multiple levels or ... Read more

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  • Big Data in Cognitive Science

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    Series series Frontiers of Cognitive Psychology
    While laboratory research is the backbone of collecting experimental data in cognitive science, a rapidly increasing amount of research is now capitalizing on large-scale and real-world digital data. Each piece of data is a trace of human behavior and offers us a potential clue to understanding basic cognitive principles. However, we have to be able to put the pieces together in a reasonable way, ... Read more

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  • Applied Natural Language Processing: Identification, Investigation and Resolution

    The amount of information that humans have gathered and made available to other humans is phenomenal, yet however large this repository of knowledge is, by this time tomorrow, it will be larger still. Applied Natural Language Processing: Identification, Investigation and Resolution is a volume dedicated to the successful application of processing tools to this information. The majority of this ... Read more

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