Issues in the Multilingual Information Processing of Spoken Political and Journalistic Texts
From television screens to mobile phones, spoken political and journalistic texts in the media are accessible to recipients of almost any kind, including the international public. These texts constitute a remarkable source of empirical data for human behaviour and for linguistic phenomena, but pose significant challenges in terms of their evaluation, processing and translation due to a set of distinctive characteristics. This volume presents and describes a number of features of spoken political and journalistic texts, and proposes strategies for their correct and efficient analysis and processing both by human evaluators and by Natural Language Processing applications. The book also discusses the accessibility of “complex” information content and transfer for an international audience, as well as the visibility of the speaker’s attitude and intentions.
Christina K. Alexandris is Associate Professor in Computational Linguistics and German Linguistics at the National and Kapodistrian University of Athens, Greece. She is Head of the Journalism Computational Linguistics Laboratory at the National Technical University of Athens (in collaboration with the Danube University Krems, Austria). She has participated in various national and EU research projects, and collaborated with the Universal Networking Language Project of the United Nations. She is a member of the American Association for the Advancement of Artificial Intelligence, and her research interests focus on linguistic issues in human-computer interaction, speech technology applications, and multilingual applications, as well as special applications for journalism.
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