The Complexity Of Compound Figures Of Speech
Download The Complexity Of Compound Figures Of Speech PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get The Complexity Of Compound Figures Of Speech book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
The Complexity of Compound Figures of Speech
Author: Alessandro Aru
language: en
Publisher: Cambridge Scholars Publishing
Release Date: 2024-06-26
Dive into the intricate world of compound figures of speech with this groundbreaking volume. Exploring hyperbolic metaphor, hyperbolic irony, and ironic metaphor, this book delves into the complexities of these expressions, revealing its nuanced meanings driven by contextual factors. Through thought-provoking research questions, readers uncover the logical, psychological, and temporal order of interpretation behind these compound figures. Proposing a complexity theory paradigm, the book offers a fresh perspective on their analysis, arguing for a context-dependent approach. Drawing on experimental evidence involving 155 participants, it demonstrates how factors such as language proficiency and sociocultural knowledge influence the cognitive complexity of compound figures. With insights into the flexible nature of interpretation and the interplay of contextual attractors and salience, this book reshapes our understanding of figurative language. The book paves the way for further exploration into the rich tapestry of compound figures and their impact on communication.
Masterworks of Asian Literature in Comparative Perspective: A Guide for Teaching
This is a collection of 46 essays by specialists in Asian literature, who offer a wide range of possibilities for introducing Asian literature to English-speaking students. It is intended to help in promoting multicultural education.
Automatic Speech Recognition and Translation for Low Resource Languages
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.