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When learning languages, writing an essay is one of the main methods for assessing students’ knowledge. However, with the development of ICT, language learning is also being transferred to online platforms. At the same time, as the number of students’ increases, the problem of evaluating students’ essays arises. In this paper, we offer an automated system that facilitates instructors while evaluating students’ essays. Currently, the system works for essays written in Turkish. The system was built using the Zemberek library. It allows one to extract text features the essay of several people at the same time on several indicators, namely, morphological analysis, vocabulary, the use of different language structures, etc. Currently, many automated essay grading tools are proposed, and one of the main factors that defined their accuracy it the extraction of text features. Thus, as further work, it is planned to use the data obtained using this essay assessment system together with instructors’ evaluation to create an expert system for automatic essay evaluation using machine learning techniques.
| Publication Name (dc.title) | Assisting tool for essay grading for Turkish language instructors |
| Author/s (dc.contributor.yazarlar) | Mustafa Alp Çetin, Rita Ismailova |
| Publication type (dc.type) | Makale |
| Language (dc.language) | İngilizce |
| Publication year (dc.date.issued) | 2019 |
| National/International (dc.identifier.ulusaluluslararasi) | Ulusal |
| Source (dc.relation.journal) | MANAS Journal of Engineering (MJEN) |
| Number (dc.identifier.issue) | 2 |
| Volume/Issue (dc.identifier.volume) | 7 |
| Page (dc.identifier.startpage) | 141-146 |
| ISSN/ISBN (dc.identifier.issn) | Online ISSN: 1694-7398 |
| Publisher (dc.publisher) | Kyrgyz - Turkish Manas University |
| Databases (dc.contributor.veritaban) | Ulakbim (DergiPark) |
| Databases (dc.contributor.veritaban) | EBSCOHost |
| Index Type (dc.identifier.index) | Alan Indeks |
| Abstract (dc.description.abstract) | When learning languages, writing an essay is one of the main methods for assessing students’ knowledge. However, with the development of ICT, language learning is also being transferred to online platforms. At the same time, as the number of students’ increases, the problem of evaluating students’ essays arises. In this paper, we offer an automated system that facilitates instructors while evaluating students’ essays. Currently, the system works for essays written in Turkish. The system was built using the Zemberek library. It allows one to extract text features the essay of several people at the same time on several indicators, namely, morphological analysis, vocabulary, the use of different language structures, etc. Currently, many automated essay grading tools are proposed, and one of the main factors that defined their accuracy it the extraction of text features. Thus, as further work, it is planned to use the data obtained using this essay assessment system together with instructors’ evaluation to create an expert system for automatic essay evaluation using machine learning techniques. |
| URL (dc.rights) | https://dergipark.org.tr/en/pub/mjen/issue/50947/660761 |
| Faculty / Institute (dc.identifier.fakulte) | Mühendislik Fakültesi |
| Department (dc.identifier.bolum) | Bilgisayar Mühendisliği Bölümü |
| Author(s) in the Institution (dc.contributor.author) | Mustafa Alp ÇETİN |
| Author(s) in the Institution (dc.contributor.author) | Rita İSMAİLOVA |
| Kayıt No (dc.identifier.kayitno) | BLFD457287 |
| Record Add Date (dc.date.available) | 2019-12-27 |
| Notes (Publication year) (dc.identifier.notyayinyili) | 2019 |
| Subject Headings (dc.subject) | natural language processing |
| Subject Headings (dc.subject) | automated tool |
| Subject Headings (dc.subject) | automatic essay evaluation |
| Subject Headings (dc.subject) | computer assisted language learning |