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- W3159113775 abstract "EFL methodology has always recognized the importance of giving student learners of foreign languages regular and quick feedback on student production, both written and oral. The presented paper describes the decisions taken during the development of an application to measure text complexity, and shows how the results achieved with this application were translated into feedback related to the author’s language proficiency. Along with some standard text complexity features, this tool takes into account those that are significant for Russian learners of English. The application provides students with the statistics of the relevant linguistic features of the text in comparison with texts of the learner essays that were considered the top and the bottom levels in the learner corpus. The paper also points out what text features are especially relevant for the assessment of the essays written in English by Russian students. The choice was made possible after the analysis of 3440 texts from Russian Error-Annotated English Learner Corpus, and after applying methods of machine learning and statistical analysis to predict the grade that could be received for the essay." @default.
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- W3159113775 date "2021-07-01" @default.
- W3159113775 modified "2023-09-23" @default.
- W3159113775 title "Automated assessment of learner text complexity" @default.
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- W3159113775 doi "https://doi.org/10.1016/j.asw.2021.100529" @default.
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