"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.
This book provides an in-depth description of the framework of inductive
dependency parsing, a methodology for robust and efficient syntactic
analysis of unrestricted natural language text. This methodology is based
on two essential components: dependency-based syntactic representations and
a data-driven approach to syntactic parsing. More precisely, it is based on
a deterministic parsing algorithm in combination with inductive machine
learning to predict the next parser action.
The book includes a theoretical analysis of all central models and
algorithms, as well as a thorough empirical evaluation of memory-based
dependency parsing, using data from Swedish and English. Offering the
reader a one-stop reference to dependency-based parsing of natural
language, it is intended for researchers and system developers in the
language technology field, and is also suited for graduate or advanced