This essential collection of key articles offers a re-evaluation of the practice of history in light of current debates. Critical thinkers and practicing historians present their writings, along with clear and thorough editorial material, to examine the complex ideas at the forefront of historical practice. This volume gives a synoptic overview of the last twenty-five years’ theoretical analysis of historical writing, with a critical examination of the central concepts and positions that have been in debate.
Leading scholar Stephen Kern offers a probing analysis of the modernist novel, encompassing American, British and European works. Organized thematically, the book offers a comprehensive analysis of the stunningly original formal innovations in novels by Conrad, Joyce, Woolf, Proust, Gide, Faulkner, Dos Passos, Kafka, Musil and others. Kern contextualizes and explains how formal innovations captured the dynamic history of the period, reconstructed as ten master narratives. He also draws briefly on poetry and painting of the first half of the twentieth century.
For anyone approaching discourse analysis for the first time, theory means little when it is not related to actual knowledge and experience of language in use. Describing Discourse takes the unique approach of introducing discourse studies through the hands-on analysis of linguistic data.
Public information messages are an important means of state-citizen communication in today’s societies. Using this genre, citizens are directed to “never ever drink and drive”, to “slow down” and to “learn to say no”. Yet, this book presents the first in-depth analysis of public information messages from a linguistic perspective, and indeed also from a cross-cultural perspective. Specifically, the study, adopting genre analysis, contrasts a corpus of state-run national public information campaigns in Germany and Ireland.
The book demonstrates that the methods allow wide coverage without compromising the quality of semantic analysis. Access to unrestricted, robust and accurate semantic analysis is widely regarded as an essential component for improving natural language processing tasks, such as: recognizing textual entailment, information extraction, summarization, automatic reply, and machine translation.
