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Empirical translation studies is a rapidly evolving research area.
This volume, written by world-leading researchers, demonstrates the
integration of two new research paradigms: socially-oriented and
data driven approaches to empirical translation studies. These two
models expand current translation studies and stimulate reader
debates around how development of quantitative research methods and
integration with advances in translation technologies would
significantly increase the research capacities of translation
studies. Highly engaging, the volume pioneers the development of
socially-oriented innovative research methods to enhance the
current research capacities of theoretical (descriptive)
translation studies in order to tackle real-life research issues,
such as environmental protection and multicultural health
promotion. Illustrative case studies are used, bringing insight
into advanced research methodologies of designing, developing and
analysing large scale digital databases for multilingual and/or
translation research.
This book introduces the latest advances in Corpus-Based
Translation Studies (CBTS), a thriving subfield of Translation
Studies which forms an important part of both translator training
and empirical translation research. Largely empirical and
exploratory, a distinctive feature of CBTS is the development and
exploration of quantitative linguistic data in search of useful
patterns of variation and change in translation. With the
introduction of textual statistics to Translation Studies, CBTS has
geared towards a new research direction that is more systematic in
the identification of translation patterns; and more explanatory of
any linguistic variations identified in translations. The book
traces the advances from the advent of language corpora in
translation studies, to the new textual dimensions and shift
towards a probability-variation model. Such advances made in CBTS
have enabled in-depth analyses of translation by establishing
useful links between a translation and the social and cultural
context in which the translation is produced, circulated and
consumed.
This book introduces the latest advances in Corpus-Based
Translation Studies (CBTS), a thriving subfield of Translation
Studies which forms an important part of both translator training
and empirical translation research. Largely empirical and
exploratory, a distinctive feature of CBTS is the development and
exploration of quantitative linguistic data in search of useful
patterns of variation and change in translation. With the
introduction of textual statistics to Translation Studies, CBTS has
geared towards a new research direction that is more systematic in
the identification of translation patterns; and more explanatory of
any linguistic variations identified in translations. The book
traces the advances from the advent of language corpora in
translation studies, to the new textual dimensions and shift
towards a probability-variation model. Such advances made in CBTS
have enabled in-depth analyses of translation by establishing
useful links between a translation and the social and cultural
context in which the translation is produced, circulated and
consumed.
Bad Foods demonstrates how a variety of historical or political
events and personalities have shaped our current views of good
nutrition. On several occasions in American history concerns have
arisen over the safety of our food supply (e.g., harmful
ingredients in processed foods) and the potential that processing
might deplete foods of their nutrients. These concerns help explain
how food characteristics such as freshness, natural, organic, and
unprocessed have become important to Americans. Bad Foods traces
how the food nutrients fat, salt, and sugar have acquired negative
reputations for health as well as any controversies and outright
misconceptions of the dangers of these nutrients. Bad Foods also
explores confusion that can in part be attributed to biased media
coverage about foods. Modern Americans are routinely bombarded with
information about the health value of certain foods and the dangers
of others. Frequently, health information about certain nutrients
receives exaggerated coverage (e.g., dietary fat) while the
importance of other nutrients gets ignored (e.g., vitamins and
minerals). Moreover, health information about foods is often
perceived as contradictory. While some readers may be startled by
what they perceive to be a challenge to sacred beliefs about foods,
others will see the honesty in both the research and the writing
and recognize the social benefits of examining our beliefs about
foods. Bad Foods will be of interest to sociologists, food science
specialists, and social historians.
Bad Foods demonstrates how a variety of historical or political
events and personalities have shaped our current views of good
nutrition. On several occasions in American history concerns have
arisen over the safety of our food supply (e.g., harmful
ingredients in processed foods) and the potential that processing
might deplete foods of their nutrients. These concerns help explain
how food characteristics such as freshness, natural, organic, and
unprocessed have become important to Americans. "Bad Foods" traces
how the food nutrients fat, salt, and sugar have acquired negative
reputations for health as well as any controversies and outright
misconceptions of the dangers of these nutrients. "Bad Foods" also
explores confusion that can in part be attributed to biased media
coverage about foods. Modern Americans are routinely bombarded with
information about the health value of certain foods and the dangers
of others. Frequently, health information about certain nutrients
receives exaggerated coverage (e.g., dietary fat) while the
importance of other nutrients gets ignored (e.g., vitamins and
minerals). Moreover, health information about foods is often
perceived as contradictory. While some readers may be startled by
what they perceive to be a challenge to sacred beliefs about foods,
others will see the honesty in both the research and the writing
and recognize the social benefits of examining our beliefs about
foods. "Bad Foods" will be of interest to sociologists, food
science specialists, and social historians.
Empirical translation studies is a rapidly evolving research area.
This volume, written by world-leading researchers, demonstrates the
integration of two new research paradigms: socially-oriented and
data driven approaches to empirical translation studies. These two
models expand current translation studies and stimulate reader
debates around how development of quantitative research methods and
integration with advances in translation technologies would
significantly increase the research capacities of translation
studies. Highly engaging, the volume pioneers the development of
socially-oriented innovative research methods to enhance the
current research capacities of theoretical (descriptive)
translation studies in order to tackle real-life research issues,
such as environmental protection and multicultural health
promotion. Illustrative case studies are used, bringing insight
into advanced research methodologies of designing, developing and
analysing large scale digital databases for multilingual and/or
translation research.
This book in the Edinburgh Textbooks in Empirical Linguistics
series is a comprehensive introduction to the statistics currently
used in corpus linguistics. Statistical techniques and corpus
applications - whether oriented towards linguistics or language
engineering - often go hand in glove, and corpus linguists have
used an increasingly wide variety of statistics, drawing on
techniques developed in a great many fields. This is the first
one-volume introduction to the subject.
A thorough, practical reference on the social patterns behind
health outcomes Methods in Social Epidemiology provides students
and professionals with a comprehensive reference for studying the
social distribution and social determinants of health. Covering the
theory, models, and methods used to measure and analyze these
phenomena, this book serves as both an introduction to the field
and a practical manual for data collection and analysis. This new
second edition has been updated to reflect the field's tremendous
growth in recent years, including advancements in statistical
modeling and study designs. New chapters delve into genetic
methods, structural cofounding, selection bias, network methods,
and more, including new discussion on qualitative data collection
with disadvantaged populations. Social epidemiology studies the way
society's innumerable social interactions, both past and present,
yields different exposures and health outcomes between individuals
within populations. This book provides a thorough, detailed
overview of the field, with expert guidance toward the real-world
methods that fuel the latest advances. Identify, measure, and track
health patterns in the population Discover how poverty, race, and
socioeconomic factors become risk factors for disease Learn
qualitative data collection techniques and methods of statistical
analysis Examine up-to-date models, theory, and frameworks in the
social epidemiology sphere As the field continues to evolve,
researchers continue to identify new disease-specific risk factors
and learn more about how the social system promotes and maintains
well-known exposure disparities. New technology in data science and
genomics allows for more rigorous investigation and analysis, while
the general thinking in the field has become more targeted and
attentive to causal inference and core assumptions behind effect
identification. It's an exciting time to be a part of the field,
and Methods in Social Epidemiology provides a solid reference for
any student, researcher, or faculty in public health.
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Paperback
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R398
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Discovery Miles 3 300
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