Dilin Liu – författare

Language description plays an important role in language learning/teaching because it often determines what specific language forms, features, and usages are taught and how. A good understanding of language description is vital for language teachers and material writers and should constitute an important part of their knowledge. This book provides a balanced treatment of both theory and practice. It focuses on some of the most important and challenging grammar and vocabulary usage questions. Using these questions as examples, it shows how theory can inform practice and how grammar and vocabulary description and explanation can be made more effective and engaging.Part I describes and evaluates the key linguistic theories on language description and teaching. Part II discusses and gives specific examples of how challenging grammar and vocabulary issues can be more effectively described and explained; each chapter focuses on one or more specific grammar and vocabulary. An annotated list of useful free online resources (online corpora and websites) for grammar and vocabulary learning and teaching, and a glossary provide helpful information.

Language description plays an important role in language learning/teaching because it often determines what specific language forms, features, and usages are taught and how. A good understanding of language description is vital for language teachers and material writers and should constitute an important part of their knowledge. This book provides a balanced treatment of both theory and practice. It focuses on some of the most important and challenging grammar and vocabulary usage questions. Using these questions as examples, it shows how theory can inform practice and how grammar and vocabulary description and explanation can be made more effective and engaging.Part I describes and evaluates the key linguistic theories on language description and teaching. Part II discusses and gives specific examples of how challenging grammar and vocabulary issues can be more effectively described and explained; each chapter focuses on one or more specific grammar and vocabulary. An annotated list of useful free online resources (online corpora and websites) for grammar and vocabulary learning and teaching, and a glossary provide helpful information.

Using dominant metaphors in American English and the Chinese language, Metaphor, Culture, and Worldview explores how metaphor is a product that is simultaneously shaped by and is shaping the culture and the worldview of the people who use it, and how it showcases some unique features of communication of the speakers of the two languages. Using examples mostly from media and other public speeches and writings, author Dilin Liu argues that sports and business constitute the dominant metaphors in American English while family and eating form the prevailing metaphors in Chinese. To assist the reader in understanding the metaphors discussed, the book contains a glossary of dominant American and Chinese metaphorical idioms.

This comprehensive, up-to-date, and accessible text on idiom use, learning, and teaching approaches the topic with a balance of sound theory and extensive research in cognitive linguistics, psycholinguistics, corpus linguistics, and sociolinguistics combined with informed teaching practices. Idioms is organized into three parts:Part I includes discussion of idiom definition, classification, usage patterns, and functions. Part II investigates the process involved in the comprehension of idioms and the factors that influence individuals’ understanding and use of idioms in both L1 and L2. Part III explores idiom acquisition and the teaching and learning of idioms, focusing especially on the strategies and techniques used to help students learn idioms. To assist the reader in grasping the key issues, study questions are provided at the end of each chapter. The text also includes a glossary of special terms and an annotated list of selective idiom reference books and student textbooks.Idioms is designed to serve either as a textbook for ESL/applied linguistics teacher education courses or as a reference book. No matter how the book is used, it will equip ESL/applied linguistics students and professionals with a solid understanding of various issues related to idioms and the learning of them.

This comprehensive, up-to-date, and accessible text on idiom use, learning, and teaching approaches the topic with a balance of sound theory and extensive research in cognitive linguistics, psycholinguistics, corpus linguistics, and sociolinguistics combined with informed teaching practices. Idioms is organized into three parts:Part I includes discussion of idiom definition, classification, usage patterns, and functions. Part II investigates the process involved in the comprehension of idioms and the factors that influence individuals’ understanding and use of idioms in both L1 and L2. Part III explores idiom acquisition and the teaching and learning of idioms, focusing especially on the strategies and techniques used to help students learn idioms. To assist the reader in grasping the key issues, study questions are provided at the end of each chapter. The text also includes a glossary of special terms and an annotated list of selective idiom reference books and student textbooks.Idioms is designed to serve either as a textbook for ESL/applied linguistics teacher education courses or as a reference book. No matter how the book is used, it will equip ESL/applied linguistics students and professionals with a solid understanding of various issues related to idioms and the learning of them.

This Element provides a basic introduction to sentiment analysis, aimed at helping students and professionals in corpus linguistics to understand what sentiment analysis is, how it is conducted, and where it can be applied. It begins with a definition of sentiment analysis and a discussion of the domains where sentiment analysis is conducted and used the most. Then, it introduces two main methods that are commonly used in sentiment analysis known as supervised machine-learning and unsupervised learning (or lexicon-based) methods, followed by a step-by-step explanation of how to perform sentiment analysis with R. The Element then provides two detailed examples or cases of sentiment and emotion analysis, with one using an unsupervised method and the other using a supervised learning method.