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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1...10 11 12 13 14 Hits 261 – 265 of 265 261 Modifizierte Phraseologismen in Schlagzeilen am Beispiel der Zeitung "Die Welt" : eine pragmatisch orientierte Analyse Sakowski, Krzysztof (VerfasserIn). - Łódź : Wydawnictwo Primum Verbum DNB Subject Category Language IDS Mannheim Show details 262 ©ARC Page | 12 A Corpus-Based Analysis of Tehran Times and Azeri News Headlines: Focus on Lexical Density and Readability Ghaffar Khamahani In: http://www.arcjournals.org/pdfs/ijhsse/v2-i1/2.pdf BASE Show details 263 Word based Alignment of News Headline in Machine Translation 1 Sourav Mandal; Radha Krishna Jana In: http://www.ijcst.com/vol24/2/sourav.pdf BASE Show details 264 1 Explore the Innovative Characteristics of Taiwanese Advertisement from Pragmatic Fallacy of Semiotic Te-jen Lien; Chang-franw Lee In: http://www.idemployee.id.tue.nl/g.w.m.rauterberg/conferences/CD_doNotOpen/ADC/final_paper/300.pdf BASE Show details 265 Cross-Lingual C*ST*RD: English Access to Hindi Information Anton Leuski; Chin-yew Lin; Liang Zhou; Ulrich Germann; Franz Josef Och; Eduard Hovy In: http://ict.usc.edu/~leuski/publications/papers/p245-leuski.pdf Abstract: We present C*ST*RD, a cross-language information delivery system that supports cross-language information retrieval, information space visualization and navigation, machine translation, and text summarization of single documents and clusters of documents. C*ST*RD was assembled and trained within 1 month, in the context of DARPA’s Surprise Language Exercise, that selected as source a heretofore unstudied language, Hindi. Given the brief time, we could not create deep Hindi capabilities for all the modules, but instead experimented with combining shallow Hindi capabilities, or even English-only modules, into one integrated system. Various possible configurations, with different tradeoffs in processing speed and ease of use, enable the rapid deployment of C*ST*RD to new languages under various conditions. Keyword: Cross-language information retrieval; Design; Experimentation; General Terms; headline generation; Hindi-to-English machine translation; Human factors; information retrieval and information space navigation; Languages; Management; Performance Additional Key Words and Phrases; single- and multidocument text summarization URL: http://ict.usc.edu/~leuski/publications/papers/p245-leuski.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.4788 BASE Hide details Page: 1...10 11 12 13 14

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