ReadME – A System for Automated Writing Evaluation and Learning Management

Journal Title: Revista Romana de Interactiune Om-Calculator - Year 2019, Vol 12, Issue 2

Abstract

Writing is an essential skill in the digital era, whether we are referring to essays, books, discourses, emails, or newsletters. Writing transcends individual words or sentences, and it considers the structuring of ideas and their presentation in a coherent manner. Document writing may involve an additional contributor besides the writer who produces the text, namely an evaluator whose task is to provide feedback for improvement. However, both authors and evaluators can experience anxiety in performing their tasks. Similarly, tutors may have limited time to perform in-depth writing assessments of their students’ productions. The system presented in this paper – ReadME – aids both by providing automated methods for writers to evaluate their texts and improve them based on several layers of personalized suggestions. Moreover, evaluators have access to an automated evaluation and scoring mechanism performed by our system, thus being able to provide feedback in a timely manner. Advanced Natural Language Processing techniques are employed, designed currently to process texts written in Romanian and English languages.

Authors and Affiliations

Irina Toma, Teodor Mihai Cotet, Mihai Dascalu, Stefan Trausan-Matu

Keywords

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  • EP ID EP672027
  • DOI -
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How To Cite

Irina Toma, Teodor Mihai Cotet, Mihai Dascalu, Stefan Trausan-Matu (2019). ReadME – A System for Automated Writing Evaluation and Learning Management. Revista Romana de Interactiune Om-Calculator, 12(2), 99-119. https://europub.co.uk/articles/-A-672027