[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-126782-en":3,"doc-seo-126782-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},126782,962084926284,"Aurora","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",8,"Research & Report","Gendec: A Machine Learning-based Framework for Gender Detection from Japanese Names","Names carry cultural heritage and often correlate with a person’s gender, making gender detection from names a useful proxy for linguistic and social analysis. The work introduces a Japanese name gender detection dataset containing 64,139 full names in romaji, hiragana, and kanji, labeled with biological gender. It further proposes Gendec, a machine learning framework that combines traditional methods and transfer learning models to predict gender from Japanese names accurately. Extensive investigation targets Japanese-specific naming characteristics and supports real-world applications.","arXiv :2311 . 11001v1 [ cs .CL] 18 Nov 2023  \nGendec: A Machine Learning-based Framework for Gender Detection from Japanese Names  \nDuong Tien Pham 1 ,2 and Luan Thanh Nguyen 1 ,2,⋆  \n[20521222@gm.uit.edu.vn](20521222@gm.uit.edu.vn), [luannt@uit.edu.vn](luannt@uit.edu.vn)  \n1 Faculty of Information Science and Engineering,  \nUniversity of Information Technology, Ho Chi Minh City, Vietnam  \n2 Vietnam National University Ho Chi Minh City, Vietnam  \nAbstract. Every human has their own name, a fundamental aspect of their identity and cultural heritage. The name often conveys a wealth of information, including details about an individual’s background, ethnicity, and, especially, their gender. By detecting gender through the analysis of names, researchers can unlock valuable insights into linguistic patterns and cultural norms, which can be applied to practical applications.  \nHence, this work presents a novel dataset for Japanese name gender detection comprising 64,139 full names in romaji, hiragana, and kanji forms, along with their biological genders. Moreover, we propose Gendec, a framework for gender detection from Japanese names that leverages diverse approaches, including traditional machine learning techniques or cutting-edge transfer learning models, to predict the gender associated with Japanese names accurately. Through a thorough investigation, the proposed framework is expected to be effective and serve potential applications in various domains.  \nKeywords: Gender Detection · Machine Learning · Transfer Learning  \n1 Introduction  \nGender detection based on human names task is known as a helpful tool for abroad range of fields, including sociological research, marketing, or personalization in technology applications [2, 15 ,22] . While names appear straightforward, they include a wealth of cultural and historical complexities relating to gender identification. We can acquire significant insights into different areas of society and consumer behavior by recognizing biological genders through their human names. Thanks to the developments in natural language processing techniques, the gender recognition problem has developed over the years.  \nCurrent gender detection systems have utilized machine learning approaches to identify human gender based on their names automatically. Because of variancesin linguistic properties of names in each language, various approaches can be examined to conduct the task of gender detection. To et al. [20] published a  \n⋆ Corresponding author  \n2 Pham et al.  \nVietnamese dataset along with machine learning-based approaches toward gender prediction tasks for Vietnamese names. For Chinese human names, Jia et al. [7] conducted research to address the logosyllabic characteristic of Chinese characters, which also affects the probability of predicting gender. Furthermore, another study by Panchenko et al. [13] proposed an efficient method for the Russian language. However, complex language systems with diverse alphabets, such as Japanese, still need datasets and experiments on this task.  \nIn this paper, we introduce a Japanese names dataset with annotated gender labels serving the task of gender detection for the Japanese language. From the built dataset, we propose Gendec, a machine learning-based framework for gender detection from Japanese names, which aims to automatically predict the human gender of a given input name in the Japanese language. Moreover, a deeper investigation of Japanese names is also analyzed to address the Japanese language characteristics in terms of gender detection based on names.  \nThe structure of this paper is as follows: First, Section 2 describes related works to our study, and the premises to conduct this research. Section 3 introduced the dataset proposed for the task of gender prediction with data analyses. Section 4 focuses on methodologies and introduces Gendec, a machine learning-based framework for gender detection based on Japanese names. Section 5 shows experi","cbCaijuWBCm8ynEi","https://ap.wps.com/l/cbCaijuWBCm8ynEi","pdf",845634,1,10,"English","en",105,"# Introduction\n## Related Work\n# Dataset and Data Analysis\n## Gendec Framework\n# Experiments and Results\n# Conclusion","[{\"question\":\"What problem does Gendec address?\",\"answer\":\"Gendec addresses gender detection from Japanese names by predicting the gender associated with an input name using machine learning.\"},{\"question\":\"What dataset does the paper introduce?\",\"answer\":\"The paper introduces a Japanese name dataset with 64,139 full names in romaji, hiragana, and kanji, each annotated with biological gender labels.\"},{\"question\":\"How does the proposed framework improve prediction?\",\"answer\":\"The framework leverages diverse approaches, including traditional machine learning and cutting-edge transfer learning models, to improve gender prediction accuracy for Japanese names.\"}]","Gendec: A Machine Learning-based Framework for Gender Detection from Japanese Names | PDF",1785934757,25,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"gendec-a-machine-learning-based-framework-for-gender-detection-from-japanese-names","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/gendec-a-machine-learning-based-framework-for-gender-detection-from-japanese-names/126782/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-05",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What problem does Gendec address?","Question",{"text":75,"@type":76},"Gendec addresses gender detection from Japanese names by predicting the gender associated with an input name using machine learning.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What dataset does the paper introduce?",{"text":80,"@type":76},"The paper introduces a Japanese name dataset with 64,139 full names in romaji, hiragana, and kanji, each annotated with biological gender labels.",{"name":82,"@type":73,"acceptedAnswer":83},"How does the proposed framework improve prediction?",{"text":84,"@type":76},"The framework leverages diverse approaches, including traditional machine learning and cutting-edge transfer learning models, to improve gender prediction accuracy for Japanese names.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":21,"slug":133},"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]