"Buenos dias", "buenas noches" -- this was the first words in a foreign language I heard in my life, as a three-year old boy growing up in developing post-war Western Germany, where the first gastarbeiters had arrived from Spain. Fascinated by the strange sounds, I tried to get to know some more languages, the only opportunity being TV courses of English and French -- there was no foreign language education for pre-teen school children in Germany yet in those days. Read more
To find some answers Tim Machan explores the language's present and past, and looks ahead to its futures among the one and a half billion people who speak it. His search is fascinating and important, for definitions of English have influenced education and law in many countries and helped shape the identities of those who live in them.
This volume provides a new perspective on the evolution of the special language of medicine, based on the electronic corpus of Early Modern English Medical Texts, containing over two million words of medical writing from 1500 to 1700.
The eleven contributions to this volume, written by expert corpus linguists,
tackle corpora from a wide range of perspectives and aim to shed light on the
numerous linguistic and pedagogical uses to which corpora can be put. They
present cutting-edge research in the authors’ respective domain of expertise and
suggest directions for future research. The main focus of the book is on learner
corpora, but it also includes reflections on the role of other types of corpora,
such as native corpora, expert users corpora, parallel corpora or corpora of New
Englishes. For readers who are already familiar with corpora, this volume offers
an informed account of the key role that corpus data play in applied linguistics
today. As for readers who are new to corpus linguistics, the overview of
approaches, methods and domains of applications presented will undoubtedly
help them develop their own taste for corpora. This volume has been edited in
honour of Sylviane Granger, who has been one of the pioneers of learner corpus