<\/p>\n
<\/p>\n
H \u03b8\u03b5\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 \u03b2\u03b9\u03b2\u03bb\u03af\u03bf\u03c5 \u03b1\u03c6\u03bf\u03c1\u03ac \u03c4\u03b9\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 -\u03b3\u03bb\u03c9\u03c3\u03c3\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae\u03c2 \u03c6\u03cd\u03c3\u03b5\u03c9\u03c2- \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b9\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03c4\u03b1 \u03bd\u03ad\u03b1 \u03bc\u03ad\u03c3\u03b1 \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03bd\u03ad\u03b5\u03c2 \u03c4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b5\u03c2 \u03c3\u03c4\u03bf\u03bd \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03bf\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03cc \u03bb\u03cc\u03b3\u03bf, \u03c4\u03b7\u03bd \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03bd \u03b3\u03ad\u03bd\u03b5\u03b9 \u03c4\u03bf \u03c0\u03c9\u03c2 \u03b1\u03c5\u03c4\u03ad\u03c2 \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03bc\u03b5\u03c4\u03ac\u03b4\u03bf\u03c3\u03b7\u03c2, \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2, \u03b1\u03bd\u03b1\u03bc\u03b5\u03c4\u03ac\u03b4\u03bf\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7\u03c2 \u03c4\u03b7\u03c2 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1\u03c2.<\/span><\/p>\n <\/p>\n \u0397 \u03c0\u03b5\u03c1\u03b9\u03ce\u03bd\u03c5\u03bc\u03b7 <\/span>Cambridge Scholars Publishing<\/i><\/b> \u03b5\u03be\u03ad\u03b4\u03c9\u03c3\u03b5 \u03c4\u03bf \u03c4\u03b5\u03bb\u03b5\u03c5\u03c4\u03b1\u03af\u03bf \u03c0\u03cc\u03bd\u03b7\u03bc\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03c0\u03b9\u03ba\u03b5\u03c6\u03b1\u03bb\u03ae\u03c2 \u03c4\u03bf\u03c5 \u0395\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03af\u03bf\u03c5 \u0393\u03bb\u03c9\u03c3\u03c3\u03b9\u03ba\u03ae\u03c2 \u03a4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b1\u03c2 \u03c4\u03bf\u03c5 ECI (JCL- Journalism Computational Linquistics Lab – JCL Lab) \u03ba\u03b1\u03b9 \u03ba\u03b1\u03b8\u03b7\u03b3\u03ae\u03c4\u03c1\u03b9\u03b1\u03c2 \u03a7\u03c1\u03b9\u03c3\u03c4\u03af\u03bd\u03b1\u03c2 \u0391\u03bb\u03b5\u03be\u03b1\u03bd\u03b4\u03c1\u03ae.<\/span><\/p>\n <\/p>\n \u03a0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03ba\u03c5\u03ba\u03bb\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03c4\u03bf\u03c5 \u03bd\u03ad\u03bf\u03c5 \u03b2\u03b9\u03b2\u03bb\u03af\u03bf\u03c5 \u03c4\u03b7\u03c2 \u03bc\u03b5 \u03c4\u03af\u03c4\u03bb\u03bf \u201c<\/a><\/span> Issues in Multilingual Information Processing of Spoken Political and Journalistic Texts in the Media and Broadcast News<\/i><\/b>\u201d .<\/span><\/p>\n <\/p>\n \u0397 \u03b8\u03b5\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03b3\u03c1\u03ac\u03bc\u03bc\u03b1\u03c4\u03bf\u03c2 \u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03c4\u03b1 \u03bd\u03ad\u03b1 \u03bc\u03ad\u03c3\u03b1 \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03c0\u03bf\u03c5\u00a0 \u03b5\u03c0\u03b9\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03c3\u03c4\u03bf \u03b5\u03c0\u03ac\u03b3\u03b3\u03b5\u03bb\u03bc\u03b1 \u03c4\u03bf\u03c5 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03bf\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5, \u03c4\u03bf\u03c5 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03bf\u03cd \u03ba\u03b1\u03b8\u03ce\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf\u03bd \u03c4\u03c1\u03cc\u03c0\u03bf \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03c4\u03ac\u03c6\u03c1\u03b1\u03c3\u03b7\u03c2 \u03c4\u03c9\u03bd \u03c0\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ce\u03bd \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03bf\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03ce\u03bd \u03ba\u03b1\u03b9 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ce\u03bd \u03ba\u03b5\u03b9\u03bc\u03ad\u03bd\u03c9\u03bd (\u03c0\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ce\u03bd \u03ba\u03b1\u03b9 \u03bc\u03b7).<\/span><\/p>\n <\/p>\n \u039d\u03ad\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03ad\u03c1\u03b5\u03c5\u03bd\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7\u03c2 \u03b1\u03bd\u03b1\u03b4\u03cd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c5\u03c0\u03cc \u03c4\u03bf \u03c0\u03c1\u03af\u03c3\u03bc\u03b1 \u03c4\u03bf\u03c5 \u03b4\u03b9\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03bf\u03cd \u03ba\u03bb\u03ac\u03b4\u03bf\u03c5 \u03c4\u03b7\u03c2 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b3\u03bb\u03c9\u03c3\u03c3\u03bf\u03bb\u03bf\u03b3\u03af\u03b1\u03c2.\u00a0<\/span><\/p>\n \u039c\u03b5\u03c1\u03b9\u03ba\u03ac \u03b1\u03c0\u03cc \u03b1\u03c5\u03c4\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03b6\u03ae\u03c4\u03b7\u03bc\u03b1 \u03c4\u03b7\u03c2 \u03bf\u03c1\u03b8\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03bc\u03b5\u03c4\u03ac\u03c6\u03c1\u03b1\u03c3\u03b7\u03c2 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b2\u03bf\u03ae\u03b8\u03b5\u03b9\u03b1 \u03bd\u03ad\u03c9\u03bd \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ce\u03bd \u03b5\u03c1\u03b3\u03b1\u03c3\u03b9\u03ce\u03bd (Data Mining – Opinion Mining-Sentiment Analysis), \u03b7 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03c4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b1\u03c2-\u03bc\u03b5\u03c4\u03b1\u03c6\u03c1\u03b1\u03c3\u03c4\u03ae\/\u03b1\u03bd\u03b1\u03bb\u03c5\u03c4\u03ae, \u03ba\u03b1\u03b8\u03ce\u03c2 \u03ba\u03b1\u03b9 \u03b7 \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1 \u03c4\u03bf\u03c5 \u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03b9\u03ba\u03bf\u03cd-\u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03bf\u03cd-\u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03bf\u03cd \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03bf\u03c2 \u03c3\u03c4\u03bf\u03bd \u03bf\u03c0\u03bf\u03af\u03bf \u03b4\u03b9\u03b1\u03c4\u03c5\u03c0\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bf \u03b5\u03b9\u03b4\u03b7\u03c3\u03b5\u03bf\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03cc\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03cc\u03c2 \u03bb\u03cc\u03b3\u03bf\u03c2.<\/span><\/p>\n <\/p>\n <\/p>\n \u201cFrom television screens to mobile phones, spoken political and<\/span><\/p>\n journalistic texts in the Media are accessible to recipients of almost any<\/span><\/p>\n kind, including the international public. These texts constitute a<\/span><\/p>\n remarkable source of empirical data for human behaviour and for linguistic<\/span><\/p>\n phenomena, however, they pose challenges for their evaluation, processing<\/span><\/p>\n and translation due to a set of typical, distinctive characteristics. The<\/span><\/p>\n presented and described features of spoken political and journalistic<\/span><\/p>\n texts and the proposed strategies target to the correct and efficient<\/span><\/p>\n analysis and processing both by human evaluators, analysts or translators<\/span><\/p>\n and by Natural Language Processing applications, including Machine<\/span><\/p>\n Translation, Data Mining (Opinion Mining-Sentiment Analysis) and<\/span><\/p>\n Human-Computer Interaction. Additional targets are the accessibility of<\/span><\/p>\n \u201ccomplex\u201d information content and correct information transfer for an<\/span><\/p>\n international audience, the visibility and processing of information<\/span><\/p>\n implied, information not uttered and the visibility of Speaker attitude<\/span><\/p>\n and intentions.\u201d<\/span><\/p>\n <\/p>\n \u03a0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03bf JCL Lab <\/span>\u03b5\u03b4\u03ce<\/span><\/a>.<\/span><\/p>\n <\/p>\n\u03a4\u03bf \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03c4\u03bf\u03c5 \u03bf\u03c0\u03b9\u03c3\u03b8\u03cc\u03c6\u03c5\u03bb\u03bb\u03bf\u03c5 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03c4\u03b7\u03c2 Cambridge Scholars:<\/b><\/h6>\n