Conference papers

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    Characterization of Corneal Indentation Hysteresis
    (2015) Wei, Dongming; Ko, Match W. L.; Leung, Christopher K.S
    The aim of this study is to design and develop a noninvasive corneal indentation method to measure the corneal hysteresis behavior under dynamic corneal indentation. Corneal indentation method is adapted for the design and development of a measurement method for the characterization of Corneal Indentation Hysteresis (CIH). Fourteen porcine eyes were tested using the corneal indentation method. The CIH measured in enucleated porcine eyes showed indentation rate and intraocular pressure dependences. The CIH increased with the indentation rate at lower IOP (< 25 mmHg) and the CIH decreased with the indentation rate at higher IOP (> 25 mmHg). The CIH was linear proportional to the IOP within an individual eye. The CIH was positively correlated with the IOP, corneal in-plane tensile stress and corneal tangent modulus (E). A new method based on corneal indentation for the measurement of Corneal Indentation Hysteresis in vivo is developed. To our knowledge, this is the first study to introduce the corneal indentation hysteresis and correlate the corneal indentation hysteresis and the corneal tangent modulus
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    ItemOpen Access
    Experiments with Russian to Kazakh sentence alignment
    (The 4-th International Conference on Computer Processing of Turkic Languages “TurkLang 2016”, 2016) Assylbekov, Zhenisbek; Myrzakhmetov, Bagdat; Makazhanov, Aibek
    Sentence alignment is the final step in building parallel corpora, which arguably has the greatest impact on the quality of a resulting corpus and the accuracy of machine translation systems that use it for training. However, the quality of sentence alignment itself depends on a number of factors. In this paper we investigate the impact of several data processing techniques on the quality of sentence alignment. We develop and use a number of automatic evaluation metrics, and provide empirical evidence that application of all of the considered data processing techniques yields bitexts with the lowest ratio of noise and the highest ratio of parallel sentences.
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    ItemOpen Access
    A free/open-source hybrid morphological disambiguation tool for Kazakh
    (DOI: 10.13140/RG.2.2.12467.43045, 2016-04) Assylbekov, Zhenisbek; Washington, Jonathan; Tyers, Francis; Nurkas, Assulan; Sundetova, Aida; Karibayeva, Aidana; Abduali, Balzhan; Amirova, Dina
    This paper presents the results of developing a morphological disambiguation tool for Kazakh. Starting with a previously developed rule-based approach, we tried to cope with the complex morphology of Kazakh by breaking up lexical forms across their derivational boundaries into inflectional groups and modeling their behavior with statistical methods. A hybrid rule-based/statistical approach appears to benefit morphological disambiguation demonstrating a per-token accuracy of 91% in running text.