Complete Bengali
Complete Bengali

Author: William Radice

Publisher: Teach Yourself

Published: 2010

Total Pages: 418

ISBN-13: 9781444106060

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Are you looking for a complete course in Bengali which takes you effortlessly from beginner to confident speaker? Whether you are starting from scratch, or are just out of practice, Complete Bengali will guarantee success! Now fully updated to make your language learning experience fun and interactive. You can still rely on the benefits of a top language teacher and our years of teaching experience, but now with added learning features within the course and online. The course is structured in thematic units and the emphasis is placed on communication, so that you effortlessly progress from introducing yourself and dealing with everyday situations, to using the phone and talking about work. By the end of this course, you will approach Level B2 of the Common European Framework for Languages: Can interact with a degree of fluency and spontaneity that makes regular interaction with native speakers quite possible without strain for either party. Learn effortlessly with a new easy-to-read page design and interactive features: Not got much time? One, five and ten-minute introductions to key principles to get you started. Author insights Lots of instant help with common problems and quick tips for success, based on the author's many years of experience. Grammar tips Easy-to-follow building blocks to give you a clear understanding. Useful vocabulary Easy to find and learn, to build a solid foundation for speaking. Dialogues Read and listen to everyday dialogues to help you speak and understand fast. Pronunciation Don't sound like a tourist! Perfect your pronunciation before you go. Test Yourself Tests in the book and online to keep track of your progress. Try this Innovative exercises illustrate what you've learnt and how to use it.

Fluent Forever
Fluent Forever

Author: Gabriel Wyner

Publisher: Harmony

Published: 2014-08-05

Total Pages: 352

ISBN-13: 038534810X

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NATIONAL BESTSELLER • For anyone who wants to learn a foreign language, this is the method that will finally make the words stick. “A brilliant and thoroughly modern guide to learning new languages.”—Gary Marcus, cognitive psychologist and author of the New York Times bestseller Guitar Zero At thirty years old, Gabriel Wyner speaks six languages fluently. He didn’t learn them in school—who does? Rather, he learned them in the past few years, working on his own and practicing on the subway, using simple techniques and free online resources—and here he wants to show others what he’s discovered. Starting with pronunciation, you’ll learn how to rewire your ears and turn foreign sounds into familiar sounds. You’ll retrain your tongue to produce those sounds accurately, using tricks from opera singers and actors. Next, you’ll begin to tackle words, and connect sounds and spellings to imagery rather than translations, which will enable you to think in a foreign language. And with the help of sophisticated spaced-repetition techniques, you’ll be able to memorize hundreds of words a month in minutes every day. This is brain hacking at its most exciting, taking what we know about neuroscience and linguistics and using it to create the most efficient and enjoyable way to learn a foreign language in the spare minutes of your day.

Machine Learning and Autonomous Systems
Machine Learning and Autonomous Systems

Author: Joy Iong-Zong Chen

Publisher: Springer Nature

Published: 2022-02-10

Total Pages: 642

ISBN-13: 9811679967

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This book involves a collection of selected papers presented at International Conference on Machine Learning and Autonomous Systems (ICMLAS 2021), held in Tamil Nadu, India, during 24–25 September 2021. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers selected papers in the area of emerging modern mobile robotic systems and intelligent information systems and autonomous systems in agriculture, health care, education, military and industries.

The Routledge Handbook of Asian Linguistics
The Routledge Handbook of Asian Linguistics

Author: Chris Shei

Publisher: Taylor & Francis

Published: 2022-07-28

Total Pages: 894

ISBN-13: 1000574504

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The Routledge Handbook of Asian Linguistics provides a comprehensive overview of the ways in which Asian languages should be conceptualized as a whole, the distinct characteristics of each language group, and the relationships and results of interactions between the languages and language families in Asia. Asia is the largest and the most populous continent on Earth, and the site of many of the first civilizations. This Handbook aims to provide a systematic overview of Asian languages in both theoretical and functional perspectives, optimally combining the two in intercultural settings. In other words, the text will provide a reference for researchers of individual Asian languages or language groups against the background of the entire range of Asian languages. Not only does the Handbook act as a reference to a particular language, it also connects each language to other Asian languages in the perspective of the entire Asian continent. Cultural roles and communicative functions of language are also emphasized as an important domain where the various Asian languages interact and shape each other. With extensive coverage of both theoretical and applied linguistic topics, The Routledge Handbook of Asian Linguistics is an indispensable resource for students and researchers working in this area.

Automatic Speech Recognition and Translation for Low Resource Languages
Automatic Speech Recognition and Translation for Low Resource Languages

Author: L. Ashok Kumar

Publisher: John Wiley & Sons

Published: 2024-05-07

Total Pages: 500

ISBN-13: 1394213581

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AUTOMATIC SPEECH RECOGNITION and TRANSLATION for LOW-RESOURCE LANGUAGES This book is a comprehensive exploration into the cutting-edge research, methodologies, and advancements in addressing the unique challenges associated with ASR and translation for low-resource languages. Automatic Speech Recognition and Translation for Low Resource Languages contains groundbreaking research from experts and researchers sharing innovative solutions that address language challenges in low-resource environments. The book begins by delving into the fundamental concepts of ASR and translation, providing readers with a solid foundation for understanding the subsequent chapters. It then explores the intricacies of low-resource languages, analyzing the factors that contribute to their challenges and the significance of developing tailored solutions to overcome them. The chapters encompass a wide range of topics, ranging from both the theoretical and practical aspects of ASR and translation for low-resource languages. The book discusses data augmentation techniques, transfer learning, and multilingual training approaches that leverage the power of existing linguistic resources to improve accuracy and performance. Additionally, it investigates the possibilities offered by unsupervised and semi-supervised learning, as well as the benefits of active learning and crowdsourcing in enriching the training data. Throughout the book, emphasis is placed on the importance of considering the cultural and linguistic context of low-resource languages, recognizing the unique nuances and intricacies that influence accurate ASR and translation. Furthermore, the book explores the potential impact of these technologies in various domains, such as healthcare, education, and commerce, empowering individuals and communities by breaking down language barriers. Audience The book targets researchers and professionals in the fields of natural language processing, computational linguistics, and speech technology. It will also be of interest to engineers, linguists, and individuals in industries and organizations working on cross-lingual communication, accessibility, and global connectivity.

The Book of R
The Book of R

Author: Tilman M. Davies

Publisher: No Starch Press

Published: 2016-07-16

Total Pages: 833

ISBN-13: 1593276516

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The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

All of Statistics
All of Statistics

Author: Larry Wasserman

Publisher: Springer Science & Business Media

Published: 2013-12-11

Total Pages: 446

ISBN-13: 0387217363

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Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.

Deep Learning for NLP and Speech Recognition
Deep Learning for NLP and Speech Recognition

Author: Uday Kamath

Publisher: Springer

Published: 2019-06-10

Total Pages: 640

ISBN-13: 3030145964

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This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book. The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are: Machine Learning, NLP, and Speech Introduction The first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning Basics The five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and Speech The third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.