Michael Oakes – författare

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.

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.

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.

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.

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.

Based on real-life case studies, this book provides an empirical study of the linguistic accessibility of environmental information for people from diverse language, cultural, and educational backgrounds. It deploys well-established statistical and machine learning models to evaluate the key linguistic features of environmental information dissemination, to both English and non-English-speaking readers, on topics such as environmental health risk and natural disaster preparedness. Using Japanese, Swahili, Tigrinya, Zulu, and Somali languages as illustrations, this book shows how English-speaking professionals can significantly improve the cross-lingual translatability of community-oriented environmental information by using machine learning. It can be used as a latest research reference for readers from different disciplinary backgrounds interested in how to design linguistically accessible environmental information to increase its social and community impact. It can also be used as a practical guidebook to community-oriented environmental information design.

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.