Using syntactic text analysis to estimate educational tasks’ difficulty and complexity


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We suggest a routine for automatic estimation of complexity and difficulty of educational tasks. This routine is based on syntactic text analysis, phrases’ predicative structures identification, and semantic network construction. Then we develop a mathematical model which employs a notion on semantic distance between notions–words to calculate the amount of knowledge in a semantic network. We show that the amount of knowledge in a semantic network is a measure in the set of all semantic networks, and the semantic distance makes this set the metric one.

作者简介

I. Naumov

Institute of Control Sciences

编辑信件的主要联系方式.
Email: naigsa@gmail.com
俄罗斯联邦, Moscow

V. Vykhovanets

Institute of Control Sciences

Email: naigsa@gmail.com
俄罗斯联邦, Moscow

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