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    Learning-based pronoun resolution for Turkish with a comparative evaluation
    (Academic Press Ltd- Elsevier Science Ltd, 2009) Kilicaslan, Yilmaz; Guner, Edip Serdar; Yildirim, Savas
    The aim of this paper is twofold. On the one hand, it attempts to explore several machine learning models for pronoun resolution in Turkish, a language not sufficiently studied with respect to anaphora resolution and rarely being subjected to machine learning experiments. On the other hand, this paper offers an evaluation of the classification performances of the learning models in order to gain insight into the question of how to match a model to the task at hand. In addition to the expected observation that each model should be tuned to an optimum level of expressive power so as to avoid underfitting and overfitting, the results also suggest that non-linear models properly tuned to avoid overfitting outperform linear ones when applied to the data used in our experiments. (C) 2008 Elsevier Ltd. All rights reserved.
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    An NLP-based 3D scene generation system for children with autism or mental retardation
    (Springer-Verlag Berlin, 2008) Kilicaslan, Yilmaz; Ucar, Ozlem; Guner, Edip Serdar
    It is well-known that people with autism or mental retardation experience crucial problems in thinking and communicating using linguistic structures. Thus, we foresee the emergence of text-to-image conversion systems to let such people establish a bridge between linguistic expressions and the concepts these expressions refer to via relevant images. S2S is such a system for converting Turkish sentences into representative 3D scenes via the mediation of an HPSG-based NLP module. A precursor to S2S, a non-3D version, has been tested with a group of students with autism and mental retardation in a special education center and has provided promising results motivating the work presented in this paper.
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    Visualization of Turkish for Autistic and Mentally Retarded Children
    (IEEE, 2008) Kilicaslan, Yilmaz; Ucar, Ozlem; Ucar, Erdem; Guner, Edip Serdar
    The use of software technologies for supporting the education of disabled children continues to increase both in quantity and quality. L2I is a set of computer programs that assists the education and training of autistic and mentally retarded children. These children are known to have difficulties in grasping fairly abstract concepts. L2I is intended to circumvent the abstractness of linguistically encoded conceptual structures via visual images. The software has also the potential to teach and/or assist a variety of basic skills including reading, writing and communicating. Each component constituting L2I has been tested with a group of students with autism and mental retardation in a special education center. In the light of the observations made over these tests, this paper presents how L2I can be benefited from in a special education program.