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Statistical Language Learning

Eugene Charniak breaks new ground in artificial intelligenceresearch by presenting statistical language processing from an artificial;

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Statistical Language and Speech Processing

present topics of either theoretical or applied interest discussing the employment of statistical models (including machine learning) within;

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Statistical Language Learning

Eugene Charniak breaks new ground in artificial intelligence research by presenting statistical language processing from an artificial;

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Language and Concept Acquisition from Infancy Through Childhood

of three highly influential research traditions in the domains of language and concept acquisition: Statistical Learning, Structural Alignment, and;

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Language and Concept Acquisition from Infancy Through Childhood

of three highly influential research traditions in the domains of language and concept acquisition: Statistical Learning, Structural Alignment, and;

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Statistical Language and Speech Processing

This book constitutes the refereed proceedings of the Second International Conference on Statistical Language and Speech Processing, SLSP;

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Introduction to Statistical Machine Learning

Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and;

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Coarse-to-Fine Natural Language Processing

plausibility of grammatical constructions. This book develops a general coarse-to-fine framework for learning and inference in large statistical;

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Monolingualism - Bilingualism - Multilingualism

, as well as statistical reports on foreign language learning and teaching show how learners proceed from monolingual to bilingual or;

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Statistical Universals of Language

, revealing how we may be unconsciously mathematical in our language use. These properties are statistical and thus different from linguistic;

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Quantitative Methods for Second Language Research

research, with a primary focus on second language learning and assessment research. It takes a conceptual, problem-solving approach by emphasizing;

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Quantitative Methods for Second Language Research

research, with a primary focus on second language learning and assessment research. It takes a conceptual, problem-solving approach by emphasizing;

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R Through Excel: A Spreadsheet Interface for Statistics, Data Analysis, and Graphics

seamlessly integrates the entire set of R's statistical and graphical methods into Excel, allowing students to focus on statistical methods and;

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Adult and Second Language Learning

in this new release cover Statistical learning predicts literacy acquisition of a foreign alphabetic and logographic language, An Investigation;

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Interdisciplinary Approaches to Adaptive Learning: A Look at the Neighbours

, CorpusCALL, authoring systems statistical modelling, item response theory, data mining, electronic assessment adaptive and adaptable learning;

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Statistical Data Analytics

learning and analytics, starting from the core foundations of statistics and probability. It includes an overview of probability and statistical;

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Linguistic Structure Prediction

A major part of natural language processing now depends on the use of text data to build linguistic analyzers. We consider statistical;

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Statistical Learning for Biomedical Data

tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction;

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An Elementary Introduction to Statistical Learning Theory

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint;

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Advanced R Statistical Programming and Data Models

Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation;

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Linguistic Issues in Language Technology Vol 9 - Perspectives on Semantic Representations for Textual Inference

with machine learning and statistical techniques, more sophisticated models of language and speech are needed to make significant progress;

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The Statistical Exorcist

, profitable way to use data to make wise decisions. But all you need is The Statistical Exorcist, plus just enough arithmetic to add, subtract;

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Speech and Language Processing

the subject, based on applying statistical and other machine-learning algorithms to large corporations. The authors cover areas that;

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Foundations of Statistical Natural Language Processing

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first;

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Modeling Binary Correlated Responses using SAS, SPSS and R

publicly available in order for readers to replicate model development, but learning a new statistical language is not necessary with this book;

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The Balancing Act

techniques, combining linguistic with statistical methods in automatic speech understanding, exploring the nature of transformation-based learning;

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Statistical Learning from a Regression Perspective

This textbook considers statistical learning applications when interest centers on the conditional distribution of a response variable;

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