The current study examined relationships between expert human judgments of text quality and grammar and mechanical errors in student writing. A corpus of essays (N = 100) written by high school students in the W-Pal system was collected, coded for grammar and mechanical errors, and scored by expert human raters. Results revealed weak relations between grammar errors and holistic essay scores an...

Recently, researchers have begun exploring methods of scoring student essays with respect to particular dimensions of quality such as coherence, technical errors, and relevance to prompt, but there is relatively little work on modeling thesis clarity. We present a new annotated corpus and propose a learning-based approach to scoring essays along the thesis clarity dimension. Additionally, in or...

This work investigates whether the development of ideas in writing can be captured by graph properties derived from the text. Focusing on student essays, we represent the essay as a graph, and encode a variety of graph properties including PageRank as features for modeling essay scores related to quality of development. We demonstrate that our approach improves on a stateof-the-art system on th...

The human evaluation of essays has become a very time-consuming process as the number schools and universities grown. available software entities are unable to assess sentiment associated with essays. Thus, we propose model using Natural Language Processing essay based on both grammar by linear regression ULMFiT (Universal Model Fine-tuning for Text Classification) models. Evaluation is done in...

Various word-processing system have been developed to identify grammatical errors and mark learners’ essays. However, they are not specifically developed for Malaysian ESL (English as a second language) learners. A marking tool which is capable to identify errors in ESL writing for these learners is very much needed. Though there are numerous techniques adopted in grammar checking and automated...

Automated essay marking systems developed from late 1960’s attempted to prove that a computer can mark essays as good as any other human beings. This paper discusses an approach for developing an automated marking tool for English as a second language (ESL) and introduces heuristics and rulebased approach to detect grammatical errors in tenses in ESL essays. The results show that heuristics and...

Abstract This opinion piece emerged from research for the book, Story Machines: How Computers Have Become Creative Writers , by Mike Sharples and Rafael Pérez y Pérez, published Routledge. While thinking of ways to promote I realised that students could employ AI story generators write essays. That led me automated essay writing, a Twitter thread has garnered 43,000 engagements, author blog art...