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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.
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.
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.
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