Now showing items 1-10 of 10

    • Design and implementation of a spelling checker for Turkish 

      Solak, A.; Oflazer, K. (Oxford University Press, 1993)
      This paper presents the design and implementation of a spelling checker for Turkish. Turkish is an agglutinative language in which words are formed by affixing a sequence of morphemes to a root word. Parsing agglutinative ...
    • Error-tolerant finite-state recognition with applications to morphological analysis and spelling correction 

      Oflazer, K. (MIT Press, 1996)
      This paper presents the notion of error-tolerant recognition with finite-state recognizers along with results from some applications. Error-tolerant recognition enables the recognition of strings that deviate mildly from ...
    • Error-tolerant retrieval of trees 

      Oflazer, K. (IEEE, 1997)
      We present an efficient algorithm for retrieving from a database of trees, all trees that differ from a given query tree by a small number additional or missing leaves, or leaf label changes. It has natural language ...
    • Highly parallel execution of production systems: A model, algorithms and architecture 

      Oflazer, K. (Springer, 1992)
      This paper presents a new parallel processing scheme called DYNAMIC-JOIN for OPS5-like production systems along with associated parallel algorithms, a parallel architecture and simulation results from a number of production ...
    • Parsing Turkish using the lexical functional grammar formalism 

      Güngördü, Z.; Oflazer, K. (Springer/Kluwer Academic Publishers, 1995)
      This paper describes our work on parsing Turkish using the lexical-functional grammar formalism [11]. This work represents the first effort for wide-coverage syntactic parsing of Turkish. Our implementation is based on ...
    • A rotation, scaling, and translation invariant pattern classification system 

      Yüceer, C.; Oflazer, K. (Elsevier, 1993)
      This paper describes a hybrid pattern classification system based on a pattern preprocessor and an artificial neural network classifier that can recognize patterns even when they are deformed by transformation of rotation, ...
    • Solving tangram puzzles: a connectionist approach 

      Oflazer, K. (John Wiley & Sons, 1993)
      We present a connectionist approach for solving Tangram puzzles. Tangram is an ancient Chinese puzzle where the object is to decompose a given figure into seven basic geometric figures. One connectionist approach models ...
    • Statistical morphological disambiguation for agglutinative languages 

      Hakkani-Tür, D. Z.; Oflazer, K.; Tür, G. (Springer/Kluwer Academic Publishers, 2002)
      We present statistical models for morphological disambiguation in agglutinative languages, with a specific application to Turkish. Turkish presents an interesting problem for statistical models as the potential tag set ...
    • Tactical generation in a free constituent order language 

      Hakkani, D. Z.; Oflazer, K. (Cambridge University Press, 1998)
      This paper describes tactical generation in Turkish, a free constituent order language, in which the order of the constituents may change according to the information structure of the sentences to be generated. In the ...
    • Two-level description of Turkish morphology 

      Oflazer, K. (Oxford University Press, 1994)
      This paper describes a full two-level morphological description of Turkish word structures. The description has been implemented using the PC-KIMMO environment and is based on a root word lexicon of about 23,000 root words. ...