نوع مقاله : مقاله پژوهشی
نویسندگان
1 پژوهشگر پسادکتری دانشگاه تهران، تهران، ایران.
2 دانشیار، گروه علم اطلاعات و دانش شناسی، دانشگاه تهران، تهران، ایران
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Objective: Given its official status in Iran and three other countries, Persian ranks as the ninth most frequently used language in terms of web content and substance, surpassing Arabic, Turkish, and other Middle Eastern languages. Consequently, Persian language processing has become a national and international necessity. This research investigates the role of citizen science in the formation and development of language corpora for classical Persian literature. The goal of this study is to explore how public participation can be used to create and enrich language corpora for classical Persian literature.
Method: This study begins with a qualitative approach using a seven-step meta-synthesis method developed by Sandelowski and Barroso to examine corpus components, characteristics, and applications. Following a literature review, a system was designed and the first indigenous citizen science platform for classical Persian literature was implemented.
Findings: The findings indicated that codes such as citizen science, machine learning, deep learning, data, information, cyberspace, and others received significant attention in the reviewed articles. Additionally, 15 other codes with the highest frequency were extracted from these articles, which led to the design of a system for the indigenous citizen science platform.
Conclusion: The results of user interaction with this platform demonstrate that citizen science can be a valuable and effective tool for promoting classical Persian literature in the digital world. This tool can help to increase the volume and diversity of corpus data, improve data accuracy and quality, reduce data collection and processing costs, and increase public commitment and participation in the preservation and promotion of classical Persian literature
کلیدواژهها [English]
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