一、主讲人：Christina Kalliopi Alexandri
Beyond headline news and formal statements, spoken journalistic texts of the international media concern a wide range of elements that pose challenges in their translation and processing. Unlike spoken domain-specific texts, not only what is said, but how it is said is of equal importance.
For speech applications, we focus on the role of individual words, as they are elements easily detected in spoken texts and their processing constitutes a less complex task in transcription tools, online Machine Translation and other speech processing systems. In particular, we focus on words with semantic features that cannot be detected at a context-specific (or“horizontal”) level, mostly because they appear as very common words.
The facets of the semantic content of these word types may be described as existing in a deeper level (“Deep Level”) related to symbolisms, associations and even to their phonological structure. Furthermore, the “Deep Level” may demonstrate a connection of the word’s semantic content withthe Phonological and Prosodic level. We detect two main categories of the above-described word types,“Gravity” words and “Evocative” words, and propose a set of solutions for their processing with Machine Translation software and Language Resources and annotation in transcription tools.
Christina K. Alexandri 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 (JCL Lab) at the National Technical University of Athens (in collaboration with the Danube University Krems, Austria,“Athena”- Research and Innovation Center, Athens, Institution of Promotion of Journalism Ath.Vas. Botsi, Athens). Christina Alexandris has been involved in bilingual and multilingual Computational Linguistics applications since 1995 as a graduate student and Fulbright scholar in the MSc in Computational Linguistics program, Carnegie Mellon University, Pittsburgh PA USA. She has participated in national and EU research projects (1996–2009) and collaborated with the Universal Networking Language (UNL) Project of the United Nations, United Nations Research Center, Tokyo, Japan (2010-2015). She is a member of the American Association for the Advancement of Artificial Intelligence (AAAI) since 2015. Her research interests involve linguistic aspects and linguistic issues in Human-Computer Interaction, Speech Technology Applications and Multilingual Applications as well as special applications for Journalism.