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Register a new userFlesch-Kincaid is Not a Text Simplification Evaluation Metric
Flesch-Kincaid ليس أداة تقييم تبسيط النص
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يتم تقييم تبسيط النص على مستوى الجملة حاليا باستخدام المقاييس الآلية والتقييم البشري.للتقييم التلقائي، عادة ما يتم توظيف مزيج من المقاييس لتقييم الجوانب المختلفة من التبسيط.مستوى الصف Flesch-Kincaid (FKGL) هو مقياس واحد تم استخدامه بانتظام لقياس قابلية قراءة إخراج النظام.في هذه الورقة، نقول أن FKGL لا ينبغي استخدامها لتقييم أنظمة تبسيط النص.نحن نقدم التحليلات التجريبية على إخراج النظام الأخير الذي يظهر أن درجة FKGL يمكن التلاعب بها بسهولة لتحسين النتيجة بشكل كبير مع تأثير بسيط فقط على مقاييس آلية أخرى (بلو والساري).بدلا من استخدام FKGL، نقترح أن يتم استخدام إحصائيات المكونات، إلى جانب الآخرين، لتحليل posthoc لفهم سلوك النظام.
Sentence-level text simplification is currently evaluated using both automated metrics and human evaluation. For automatic evaluation, a combination of metrics is usually employed to evaluate different aspects of the simplification. Flesch-Kincaid Grade Level (FKGL) is one metric that has been regularly used to measure the readability of system output. In this paper, we argue that FKGL should not be used to evaluate text simplification systems. We provide experimental analyses on recent system output showing that the FKGL score can easily be manipulated to improve the score dramatically with only minor impact on other automated metrics (BLEU and SARI). Instead of using FKGL, we suggest that the component statistics, along with others, be used for posthoc analysis to understand system behavior.
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