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Register a new userAutomatic Sentence Simplification in Low Resource Settings for Urdu
تبسيط الجملة التلقائي في إعدادات الموارد المنخفضة للأوردو
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لبناء أنظمة التبسيط الآلي، وهي كورسا من الجمل المعقدة وإصداراتها المبسطة هي الخطوة الأولى لفهم تعقيد الجملة وتمكين تطوير أنظمة تبسيط النص التلقائي.نقدم مجموعة تبسيط الأردية المعجمية والمبسلة بموجبها بتحليل مفصل لعمليات التبسيط المختلفة والتقييم البشري لجودة Corpus.لدينا أيضا تحليل شريونا باستخدام تدابير قابلية لقراءة النص وتقديم مقارنة بين الشركات الأصلية المعجمية والمبسطة بسيطة ومبسرة.بالإضافة إلى ذلك، قارنا كوربوس لدينا مع شركة تبسيط موجودة أخرى من خلال بناء أنظمة تبسيط وتقييم هذه الأنظمة باستخدام درجات بلو وسري.يحقق نظامنا أعلى درجة بلو ونتيجة ساري مقارنة بالمقارنة مع الأنظمة الأخرى.ونحن نطلق سرورا تبسيطنا لصالح مجتمع البحث.
To build automated simplification systems, corpora of complex sentences and their simplified versions is the first step to understand sentence complexity and enable the development of automatic text simplification systems. We present a lexical and syntactically simplified Urdu simplification corpus with a detailed analysis of the various simplification operations and human evaluation of corpus quality. We further analyze our corpora using text readability measures and present a comparison of the original, lexical simplified and syntactically simplified corpora. In addition, we compare our corpus with other existing simplification corpora by building simplification systems and evaluating these systems using BLEU and SARI scores. Our system achieves the highest BLEU score and comparable SARI score in comparison to other systems. We release our simplification corpora for the benefit of the research community.
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