Natural Language Annotation for Machine Learning

An illuminating dive into the latest science on our brain’s remarkable learning abilities and the potential of the machines we program to imitate themThe human brain is an extraordinary machine. Its a

Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic

An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars.Deep learning is an artificial intellige

Clean everything in your home from your clothes and sheets to your shower curtain, vents—even the inside of your washing machine—with this simple short-cuts using all-natural cleaning prod

"Why are you learning Zulu?" When Mark Sanders began studying the language, he was often asked this question. In Learning Zulu, Sanders places his own endeavors within a wider context to uncover how,

For courses in machine shop, machine tool technology, machining processes/manufacturing processes technology, industrial technology, industrial mechanics, and industrial engineering at the undergradua

This book contains 10 empirical studies of English language learning, teaching and testing where English is an additional language. Focusing on English-as-a-Foreign-Language contexts, they involve var

Artificial Intelligence in Practice follows the same format as Big Data in Practice, featuring about 50 real world case studies of how companies use artificial intelligence and machine learning today.

This textbook will help you unlock and access the great potential of corpus linguistics for language learning. While other books discuss how instructors may implement corpora in the classroom, this bo

Combining style with practicality, the 18 projects in this book are made using baby-friendly, machine washable yarns spun from natural fibers to ensure comfort and softness for a baby’s delicate

Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes deep learning and machine learning accessible to everyday de

This textbook will help you unlock and access the great potential of corpus linguistics for language learning. While other books discuss how instructors may implement corpora in the classroom, this bo

Strengthen mathematical skills and gain practice using those skills in preparation for success in machine trades or manufacturing with Peterson/Smith's MATHEMATICS FOR MACHINE TECHNOLOGY, 8E. This com

Deep learning is one of today’s hottest fields. This approach to machine learning is achieving breakthrough results in some of today’s highest profile applications, in organizations ranging from Googl

The educational benefits of replacing in-class lectures with hands-on activities are clear. Such active learning is a natural fit for paleontology, which can provide opportunities for examining fossils, analyzing data and writing. Additionally, there are a number of topics in the field that are exciting to geology majors and non-majors alike: very few can resist the lure of dinosaurs, huge meteor impacts, vicious Cretaceous sharks or a giant Pleistocene land mammal. However, it can seem difficult to introduce these techniques into a large general education class full of non-majors: paleontological specimens provide a natural starting point for hands-on classroom activities, but in a large class it is not always practical or possible to provide enough fossil material for all students. The Element introduces different types of active learning approaches, and then explains how they have been applied to a large introductory paleontology class for non-majors.

This timely book provides broad coverage of vehicular ad-hoc network (VANET) issues, such as security, and network selection. Machine learning based methods are applied to solve these issues

It's nearly impossible to build a competent Go-playing machine using conventional programming techniques, let alone have it win. By applying advanced AI techniques, in particular deep learning and rei

Over the last decade, there has been a surge of interest in learning Chinese as a foreign language. Chinese language has changed from a less commonly taught to one of the most commonly taught language

Over the last decade, there has been a surge of interest in learning Chinese as a foreign language. Chinese language has changed from a less commonly taught to one of the most commonly taught language

This open access book provides new methodological and theoretical insights into temporal reference and its linguistic expression, from a cross-linguistic experimental corpus pragmatics approach. Verbal tenses, in general, and more specifically the categories of tense, grammatical and lexical aspect are treated as cohesion ties contributing to the temporal coherence of a discourse, as well as to the cognitive temporal coherence of the mental representations built in the language comprehension process. As such, it investigates the phenomenon of temporal reference at the interface between corpus linguistics, theoretical linguistics and pragmatics, experimental pragmatics, psycholinguistics, natural language processing and machine translation.

This book examines a neglected area of foreign-language teaching and learning: difficult and aggressive situations. The author presents the real-life experiences of language users and analyses how the

Language, apart from its cultural and social dimension, has a scientific side that is connected not only to the study of 'grammar' in a more or less traditional sense, but also to disciplines like mathematics, physics, chemistry and biology. This book explores developments in linguistic theory, looking in particular at the theory of generative grammar from the perspective of the natural sciences. It highlights the complex and dynamic nature of language, suggesting that a comprehensive and full understanding of such a species-specific property will only be achieved through interdisciplinary work.

This state-of-the-art survey is dedicated to the memory of Emmanuil Markovich Braverman (1931-1977), a pioneer in developing machine learning theory.The 12 revised full papers and 4 short papers

This book shows ways of augmenting the capabilities of Natural Language Processing (NLP) systems by means of cognitive-mode language processing. The authors employ eye-tracking technology to record an

This book proposes neural networks algorithms and advanced machine learning techniques for processing nonlinear dynamic signals such as audio, speech, financial signals, feedback loops, waveform gener

This book investigates how problem-based learning can be implemented in language classes and how it can bring about a change in language learners' understanding of the foreign language. Based on empir

A book that uses domain-general learning theory to explain recurrent trajectories of language change.In this book, Vsevolod Kapatsinski argues that language acquisition—often approached as an isolated

This book constitutes the refereed proceedings of the Second International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2018, held in Beer-Sheva, Israel, in June 2018.The 16 fu

This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search

Beginning Japanese is a complete Japanese textbook and language learning package for beginning learners — who want to become fluent in Japanese and have fun while doing it!Start speaking, readin

Intermediate Japanese is a complete Japanese self-study textbook and language learning package for intermediate learners — who want to become fluent in the Japanese language and have fun while doing i

Originally published in 1992, when connectionist natural language processing (CNLP) was a new and burgeoning research area, this book represented a timely assessment of the state of the art in the fie

Originally developed to support video games, graphics processor units (GPUs) are now increasingly used for general-purpose (non-graphics) applications ranging from machine learning to mining of crypto

Poetry. Equal parts definition and destruction of language as material, Jennifer Hayashida's A MACHINE WROTE THIS SONG challenges us to examine what constitutes meaningful communication. In Hayashida'

Mixture analysis is very active research topic in statistics and machine learning. It is a good timing for a Handbook to present a broad overview of the methods and applications, suitable for graduate

Teacher Development Over Time: Practical Activities for Language Teachers addresses teacher learning over the span of the careers of both novice and experienced teachers in English Language Teaching (

Teacher Development Over Time: Practical Activities for Language Teachers addresses teacher learning over the span of the careers of both novice and experienced teachers in English Language Teaching (

This book demonstrates how foreign language self-esteem (FLSE) affects foreign language (L2) learning and teaching, and how it fluctuates with growing proficiency. Further, it explains the interaction

The book ‘Data Intensive Computing Applications for Big Data’ discusses the technical concepts of big data, data intensive computing through machine learning, soft computing and parallel computing par

An Introduction to Machine Learning in Finance, With Mathematical Background, Data Visualization, and R Nonparametric function estimation is an important part of machine learning, which is becoming in