This book investigates both the theoretical and practical aspects of teacher education for early language teachers. The chapters focus on the complexity of teacher learning, innovations in mentoring a
Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to
This book provides a unique longitudinal account of content and language integrated learning (CLIL). Giving voice to both learners and teachers, it offers insights into language learning outcomes, lea
This book provides a unique longitudinal account of content and language integrated learning (CLIL). Giving voice to both learners and teachers, it offers insights into language learning outcomes, lea
An introduction to natural language semantics that offers an overview of the empirical domain and an explanation of the mathematical concepts that underpin the discipline.
Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapt
For courses in medical terminology. An immersive deep-dive into medical terminology Medical Language: Immerse Yourself is grounded in immersive language learning. Rather than memorizing vocabulary,
The volume Learning second language pragmatics beyond traditional contexts is a collection of studies dealing with the acquisition of second language pragmatic competence in different learning context
Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification techniques of biomedical signals and images that cover both superv
This book constitutes the refereed joint proceedings of the First International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2018, the First International Workshop on Deep Learning Fail
This book presents recent advances in intrusion detection systems (IDSs) using state-of-the-art deep learning methods. It also provides a systematic overview of classical machine learning and the late
This book shows how technology enriches multilingual language learning and how multilingual practices enrich computer assisted language learning. Chapters illustrate how languages are activated throug
This book shows how technology enriches multilingual language learning and how multilingual practices enrich computer assisted language learning. Chapters illustrate how languages are activated throug
This book constitutes the refereed proceedings of the IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2018, held in Hamburg, G
Language Assessment provides teachers with a clear presentation of the essentials for assessing second language learning fairly and effectively. This updated second edition includes new research and&n
Foreword by Oliver Schabenberger, PhDExecutive Vice President, Chief Operating Officer and Chief Technology Officer SASDive into deep learning! Machine learning and deep learning are ubiquitous in our
This book not only discusses the important topics in the area of machine learning and combinatorial optimization, it also combines them into one. This was decisive for choosing the material to be incl
This book provides frequently studied and used machines together with soft computing methods such as evolutionary computation. The main topics of the machine learning cover Artificial Neural Networks
This book explores the functions and potential of translation in language learning. It demonstrates that despite its changing fortunes in the history of foreign language teaching, translation has a pr
"This book provides the information on the machine learning techniques that can be in business problems in efficient way. It encourages the data Scientists to take a proactive attitude toward applying
This book is about machine translation (MT) and the classic problems associated with this language technology. It examines the causes of these problems and, for linguistic, rule-based systems, attribu
Written in an extended dictionary format, The Manual for Teaching and Learning Chinese as a Foreign Language aims to cover all key terms related to teaching Chinese as a foreign language.Each section
Written in an extended dictionary format, The Manual for Teaching and Learning Chinese as a Foreign Language aims to cover all key terms related to teaching Chinese as a foreign language.Each section
The paradigm of Graph Rewriting is used very little in the field of Natural Language Processing. But graphs are a natural way of representing the deep syntax and the semantics of natural languages. De
Teaching and Learning the English Language is a practical guide for anyone seeking to improve their teaching, whether through formal study or on their own. Richard Badger explores teaching English as
Teaching and Learning the English Language is a practical guide for anyone seeking to improve their teaching, whether through formal study or on their own. Richard Badger explores teaching English as
Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success.This book teaches you how to build an Intelligen
This book presents the refereed proceedings of the third International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2018, held in Cairo, Egypt, on February 22–24, 2018,
Modern NLP techniques based on machine learning radically improve the ability of software to recognize patterns, use context to infer meaning, and accurately discern intent from poorly-structured text
Already the focus of much interest for 50 years, the study of foreign language learning anxiety (FLLA) still remains a popular research topic among scholars in Western countries. FLLA is believed to b
Machine learning has become a hot topic in computer security in the past couple of years as a technique that can counter advances in attacker competency. This book will provide security and software p
Learn about the emergence and evolution of IT in the enterprise, see how machine learning is transforming business intelligence, and discover various cognitive artificial intelligence solutions that c
For decades, students learning the Arabic language have begun with Modern Standard Arabic (MSA) and then transitioned to learning spoken Arabic. While the MSA-first approach neither reflects the socio
For decades, students learning the Arabic language have begun with Modern Standard Arabic (MSA) and then transitioned to learning spoken Arabic. While the MSA-first approach neither reflects the socio
An Introduction to Foreign Language Learning and Teaching provides an engaging, student-friendly guide to the field of foreign language learning and teaching. Aimed at students with no background in t
An Introduction to Foreign Language Learning and Teaching provides an engaging, student-friendly guide to the field of foreign language learning and teaching. Aimed at students with no background in t
This book explores the significant role of granular computing in advancing machine learning towards in-depth processing of big data. It begins by introducing the main characteristics of big data, i.e.
Intelligent (machine) learning is a subfield of artificial intelligence and it originates from the researches in the pattern recognition, the computational learning theory, and the use of statistics f
Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applic
Using methods from book history and print culture studies, Annotation in Eighteenth-Century Poetry explores the functions that annotation performed on and through the printed page. Studying the relati
