"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.
For nearly half a century, Professor M. A. K. Halliday has been enriching the discipline of linguistics with his keen insights into the social semiotic phenomenon we call language. This ten-volume series presents the seminal works of Professor Halliday.
Throughout his career Professor Halliday has continued to address the issue of the application of linguistic scholarship to Computational and uantitative Studies. The sixth volume in the collected works of Professor M. A. K. Halliday includes works that span the last five decades, covering developments in machine translation and corpus linguistics. Also included is discussion of recent collaborative efforts bringing together those working in systemic functional grammar, fuzzy logic and "intelligent computing", engaging in what Halliday refers to as computing with meaning. The principles and methods outlined in these papers remain as relevant today as when they were first published, continuing to point the way forward in an endeavour where success depends more on advancing our knowledge of language than machines.