Natural Language Annotation for Machine Learning

Language in academic settings, also referred to academic language, has gained attention in the field of second language learning owing to new understandings of the complexities of language inherent in

Second Language Learning Theories is a clear and concise overview of the field of second language acquisition (SLA) theories. Written by a team of leading academics working in different SLA specialism

Second Language Learning Theories is a clear and concise overview of the field of second language acquisition (SLA) theories. Written by a team of leading academics working in different SLA specialism

EVALITA (http://www.evalita.it/) is the reference evaluation campaign of both Natural Language Processing and Speech Technologies for the Italian language. The objective of the shared tasks proposed a

Language Learning Stations is perfect for center activities, whole class instruction, or individual assignments. Topics includes punctuation, spelling skills, figures of speech, word meaning and more!

This publication provides essential reading for any language teacher. Pupil engagement in the language-learning process is key to success, and with this in mind the authors provide a comprehensive lis

This publication provides essential reading for any language teacher. Pupil engagement in the language-learning process is key to success, and with this in mind the authors provide a comprehensive lis

This book highlights international perspectives on intercultural learning within a framework of cultures of learning related to education and language learning and use in academic contexts. Intercultu

For graduate students and budding researchers in natural language processing, computer scientists review current research and practices in computational techniques to automate any kind of human-like p

Cengage Learning's Natural Hazards and Disasters brings course concepts to life with interactive learning, study, and exam preparation tools along with market leading text content for introductory ear

Since its first publication in 1994, Alan R. King’s introduction to the Basque language has become the standard textbook for classroom language students and individuals learning this unique language o

Learning English for Academic Purposes LEAP 2nd edition for English language learners preparing for study in Higher Education is now a two-book series focussing on key language skill development incor

This volume offers a timely snapshot of current theory and research in the field of psychology in foreign language learning. It makes a powerful case for a more prominent role for psychology in langua

This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, U

"This book provides cutting-edge research that evaluates, improves, and applies effective pedagogy in the fields of computer-assisted language learning (CALL) and foreign language learning"--Provided

What is knowledge and how is it represented? This book focuses on the idea of formalising knowledge as relations, interpreting knowledge represented in databases or logic programs as relational data and discovering new knowledge by identifying hidden and defining new relations. After a brief introduction to representational issues, the author develops a relational language for abstract machine learning problems. He then uses this language to discuss traditional methods such as clustering and decision tree induction, before moving onto two previously underestimated topics that are just coming to the fore: rough set data analysis and inductive logic programming. Its clear and precise presentation is ideal for undergraduate computer science students. The book will also interest those who study artificial intelligence or machine learning at the graduate level. Exercises are provided and each concept is introduced using the same example domain, making it easier to compare the individual pro

What is knowledge and how is it represented? This book focuses on the idea of formalising knowledge as relations, interpreting knowledge represented in databases or logic programs as relational data and discovering new knowledge by identifying hidden and defining new relations. After a brief introduction to representational issues, the author develops a relational language for abstract machine learning problems. He then uses this language to discuss traditional methods such as clustering and decision tree induction, before moving onto two previously underestimated topics that are just coming to the fore: rough set data analysis and inductive logic programming. Its clear and precise presentation is ideal for undergraduate computer science students. The book will also interest those who study artificial intelligence or machine learning at the graduate level. Exercises are provided and each concept is introduced using the same example domain, making it easier to compare the individual pro

The ideal resource for helping K-12 classroom teachers integrate content learning and English language learning into their classroom lessons, Teaching English Language and Content in Mainstream Classe

Machine learning and nonparametric function estimation procedures can be effectively used in forecasting. One important and current application is used to make forecasts of “future dangerousness" to i

As the power of computing has grown over the past few decades, the field of machinelearning has advanced rapidly in both theory and practice. Machine learning methods are usuallybased on the assumptio

This book constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, held in Malaga, Spain, in A

"This book defines the role of advanced natural language processing within natural language processing, and alongside other disciplines such as linguistics, computer science, and cognitive science"--

Creating New Medical Ontologies for Image Annotation focuses on the problem of the medical images automatic annotation process, which is solved in an original manner by the authors. All the steps of t

This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held

Strategies in Learning and Using a Second Language examines what it takes to achieve long-term success in languages beyond the first language. Distinguishing language learning from language-use strate

This book constitutes the refereed proceedings of the International ECML/PKDD Workshop on Privacy and Security Issues in Data Mining and Machine Learning, PSDML 2010, held in Barcelona, Spain, in Sept

Provides an analysis of the use of digital technology within the field of foreign language learning, drawing on empircal evidence. This book situates insights into the value of digital technology for

Machine learning forensics can be used to recognize patterns of criminal activity, detect network intrusions, and discover evidence. Mena, an artificial intelligence specialist, compiles deductive and

Parallel Learning of Reading and Writing in Early Childhood explores why it’s important to provide a balanced language learning environment for young children and offers approaches for children to pra

Parallel Learning of Reading and Writing in Early Childhood explores why it’s important to provide a balanced language learning environment for young children and offers approaches for children

This volume provides an overview of what we know about the cognitive and neurobiological aspects of the adult capacity for language learning. It brings together studies from several fields that exami

After thirty years, language learning strategy (LLS) researchers have accumulated a critical mass of knowledge. There is now a need for a systematic and coherent effort to chart the field and map out

The field of machine learning has matured to the point where many sophisticated learning approaches can be applied to practical applications. Thus it is of critical importance that researchers have the proper tools to evaluate learning approaches and understand the underlying issues. This book examines various aspects of the evaluation process with an emphasis on classification algorithms. The authors describe several techniques for classifier performance assessment, error estimation and resampling, obtaining statistical significance as well as selecting appropriate domains for evaluation. They also present a unified evaluation framework and highlight how different components of evaluation are both significantly interrelated and interdependent. The techniques presented in the book are illustrated using R and WEKA, facilitating better practical insight as well as implementation. Aimed at researchers in the theory and applications of machine learning, this book offers a solid basis for c

The topic of preferences is a new branch of machine learning and data mining, and it has attracted considerable attention in artificial intelligence research in previous years. It involves learning fr

This work for faculty, librarians, and instructional designers presents best practices for planning, designing, and producing effective podcasts for second-language learning and acquisition. Academics

How can we build a strong literacy foundation for children? This book appreciates that learning and language development start with the play episodes, oral language practices, word play activities, pr

Fifteen articles on the theory and application of adaptive database search and retrieval technologies showcase current research in the growing field of machine learning algorithms. Divided into sectio

Lodhi (computing, Imperial College London, UK) and Yamanishi (Kyoto University, Japan) compile 17 chapters of current research in machine learning and applications to chemoinformatics tasks to study

The Original Thai-English Language Cognate Dictionary & Learning Tool is an essential supplementary resource for speaking, reading, and understanding the Thai language in the quickest possible tim

In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in whi