Now showing items 1-4 of 4

    • An English-to-Turkish interlingual MT system 

      Hakkani, Dilek Zeynep; Tür, Gökhan; Oflazer, Kemal; Mitamura, T.; Nyberg, E.H. (Springer, 1998-10)
      This paper describes the integration of a Turkish generation system with the KANT knowledge-based machine translation system to produce a prototype English-Turkish interlingua-based machine translation system. These two ...
    • IBM streams processing language: analyzing big data in motion 

      Hirzel M.; Andrade, H.; Gedik, B.; Jacques-Silva, R.; Khandekar, R.; Kumar, V.; Mendell, M.; Nasgaard, H.; Schneider S.; Soule´, R.; Wu, K. L. (I B M Corp., 2013-05-17)
      The IBM Streams Processing Language (SPL) is the programming language for IBM InfoSphere® Streams, a platform for analyzing Big Data in motion. By “Big Data in motion,” we mean continuous data streams at high data-transfer ...
    • An ontology-based approach to parsing Turkish sentences 

      Temizsoy, Murat; Çiçekli, ilyas (Springer, 1998-10)
      The main problem with natural language analysis is the ambiguity found in various levels of linguistic information. Syntactic analysis with word senses is frequently not enough to resolve all ambiguities found in a sentence. ...
    • Semantic scene classification for image annotation and retrieval 

      Çavuş, Özge; Aksoy, Selim (Springer, 2008-12)
      We describe an annotation and retrieval framework that uses a semantic image representation by contextual modeling of images using occurrence probabilities of concepts and objects. First, images are segmented into regions ...