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      • A Survey on Uyghur Ontology

        Hankiz Yilahun,Seyyare Imam,Askar Hamdulla 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.4

        Ontology has become a hot research topic in the fields of artificial intelligence such as knowledge representation, knowledge engineering and natural language processing (NLP) etc.. In this paper, according to the application requirements in the intelligent Uyghur information retrieval system, by giving the brief description about the ontology and its construction rules, methods, tools and descriptive languages, have conducted the contrastive analysis the current research status about the ontology in domestic and abroad, and then sum up some key issues in Uyghur ontology construction procedures and some early achievements. After all, the further research directions are also proposed in this paper.

      • The Intonation Pattern of Imperative Sentences in Uyghur Language

        Seyyare Imam,Hankiz Yilahun,Akbar Pattar,Askar Hamdulla 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.5

        Based on the notion of intonation pattern and method of undulating scale computation, this paper has done a quantitative analysis to the intonation patterns of imperative oral sentences in standard Uyghur language. And give the pitch contour distributions of representative sentences and their different tone groups for the first time. The experimental results show that whether from the contour curves of overall sentences or fluctuations of tone groups pitch contour curves and the width variations, we can observe the distinctive features between different pronunciations. And can also observe the subtle tone differences between different types of statements voiced from a same text sentence.

      • An Extractive Approach for Uyghur Text Summarization

        Turdi Tohti,Hankiz Yilahun,Askar Hamdulla 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.4

        This paper studies Uyghur single text summarization and proposes some of new or improved approaches in the aspects of keyword extraction and evaluation, sentence selection and redundancy removal, also in readability improvement and so on. Proposes an improved frequent pattern-growth approach to extract the semantic strings which perfect both on its semantics and structural integrity, to evaluate this strings uses multi-feature fusion approach and select most important ones as keywords to describe the text theme effectively. In the aspect of sentence similarity and redundancy removal, proposes the idea of theme including degree, so as to effectively remove the redundant sentences and improves the summary quality significantly. Also introduces sentence alignment between the texts that after being stemming and original text, so as to solve the problems that summary naturalness, coherence and comprehensibility decline and other issues caused by stemming process.

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