The Handbook of English Corpus Linguistics (HECL) surveys the breadth of corpus-based linguistic research on English, including chapters on collocations, phraseology, grammatical variation, historical change, and the description of registers and dialects. The most innovative aspects of the HECL are its emphasis on critical discussion, its explicit evaluation of the state of the art in each sub-discipline, and the inclusion of empirical case studies. While each chapter includes a broad survey of previous research, the primary focus is on a detailed description of the most important corpus-based studies in this area, with discussion of what those studies found, and why they are important.
First published in 1957, this book explores what remained of Joyce’s background, not only in Ireland but in those cities abroad where his books were written. With the co-operation of those who knew the author, including his brother, much new material was brought together to shed new light on Joyce’s life, character and methods of writing. The author traces Joyce, and his writings, from his beginnings in Ireland, through Zürich, London and Paris, to his difficult final year at Vichy in 1940.
This software teaches and reinforces the math concepts that third graders need to practice the most. The software offers colorful illustrations and interesting activities that focus on understanding and comparing numbers through 9,999, adding and subtracting two-digit, three-digit, and four digit numbers, learning multiplication and division facts, multiplying and dividing by one-digit numbers, and applying number concepts and skills using tables, charts, line plots, and graphs.
The contributions in this volume, a sequel to the volume published in 1986 (SiHoLS 34), treat many aspects of the history of the language sciences in Spain and in Iberoamerica, from the Renaissance and ‘Siglo de Oro’ to the 20th century. Most papers were published in the journal Historiographia Linguistica; they were complemented with a few invited papers.
This book presents a unique opportunity for constructing a consistent image of collaborative manual annotation for Natural Language Processing (NLP). NLP has witnessed two major evolutions in the past 25 years: firstly, the extraordinary success of machine learning, which is now, for better or for worse, overwhelmingly dominant in the field, and secondly, the multiplication of evaluation campaigns or shared tasks. Both involve manually annotated corpora, for the training and evaluation of the systems.
