It was about one and a half years ago that I finally I arrived where I had always wanted to be and do what I had always wanted-- teach students, support small language communities and conduct research on African languages on my doorstep. The University of Cape Town and my new colleagues welcomed my efforts to establish the Centre for African Language Diversity-- CALDi as well as The African Language Archive-- TALA and I was recently appointed the Mellon Research Chair: African Language Diversity this initiative. The main aim of CALDi is to train young African scholars in descriptive linguistics and open up space for research into African languages at UCT with the hopes of countering the dominance of African linguistics outside the continent. It has been a great challenge for which my whole career has been a form of preparation...Read more
The Cambridge Handbook of Communication Disorders examines the full range of developmental and acquired communication disorders and provides the most up-to-date and comprehensive guide to the epidemiology, aetiology and clinical features of these disorders.
The World Wide Web constitutes the largest existing source of texts written in a great variety of languages. A feasible and sound way of exploiting this data for linguistic research is to compile a static corpus for a given language. There are several advantages of this approach: (i) Working with such corpora obviates the problems encountered when using Internet search engines in quantitative linguistic research (such as non-transparent ranking algorithms). (ii) Creating a corpus from web data is virtually free. (iii) The size of corpora compiled from the WWW may exceed by several orders of magnitudes the size of language resources offered elsewhere. (iv) The data is locally available to the user, and it can be linguistically post-processed and queried with the tools preferred by her/him. This book addresses the main practical tasks in the creation of web corpora up to giga-token size. Among these tasks are the sampling process (i.e., web crawling) and the usual cleanups including boilerplate removal and removal of duplicated content. Linguistic processing and problems with linguistic processing coming from the different kinds of noise in web corpora are also covered. Finally, the authors show how web corpora can be evaluated and compared to other corpora (such as traditionally compiled corpora).
For additional material please visit the companion website: sites.morganclaypool.com/wcc