Abstract Automated character identification in movies and TV series has been typically carried out through face detection in video and the association of faces with characters’ names extracted from dialogues or cast lists. We propose a deep learning architecture to identify characters based on subtitles only, precisely through the lexicon those characters employ. The identification task is formalized as a multi-class classification task. We apply our technique to the complete set of episodes in the Gomorrah TV series and achieve an average identification accuracy beyond 94 per cent on the full set of characters.
{"title":"Deep learning-based lexical character identification in TV series","authors":"Paola Dalla Torre, Paolo Fantozzi, Maurizio Naldi","doi":"10.1093/llc/fqad068","DOIUrl":"https://doi.org/10.1093/llc/fqad068","url":null,"abstract":"Abstract Automated character identification in movies and TV series has been typically carried out through face detection in video and the association of faces with characters’ names extracted from dialogues or cast lists. We propose a deep learning architecture to identify characters based on subtitles only, precisely through the lexicon those characters employ. The identification task is formalized as a multi-class classification task. We apply our technique to the complete set of episodes in the Gomorrah TV series and achieve an average identification accuracy beyond 94 per cent on the full set of characters.","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135303958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract This study uses network approaches to study late medieval Mediterranean trade and movement and test the validity of using network methods to investigate the past. Historical literature largely focuses on merchant communities and which cities were most central for trade. In this article, two networks, one created from archaeological finds and the other from the writings of four medieval travellers, are analysed using various Social Network Analysis centrality measures and Complex Systems Science models and are compared to each other in order to explore the importance of various Mediterranean settlements and the ways in which movement occurred around the region, investigating whether they challenge or support current understandings. Network methods are shown to be useful approaches with various potential future developments to more fully explore the late medieval Mediterranean. These networks both support and challenge current historiographical views of Mediterranean trade and movement. Many of the same settlements are identified as central, and the importance of islands for movement is supported. However, some smaller settlements, which are infrequently mentioned in current historical literature are revealed as central. Movement also appears to have relied on small stopping points, rather than following express routes between a few important centres.
{"title":"Tracing connections: using network analysis to study trade and movement in the Mediterranean in the 11th to 14th centuries","authors":"Annabel Hancock","doi":"10.1093/llc/fqad056","DOIUrl":"https://doi.org/10.1093/llc/fqad056","url":null,"abstract":"Abstract This study uses network approaches to study late medieval Mediterranean trade and movement and test the validity of using network methods to investigate the past. Historical literature largely focuses on merchant communities and which cities were most central for trade. In this article, two networks, one created from archaeological finds and the other from the writings of four medieval travellers, are analysed using various Social Network Analysis centrality measures and Complex Systems Science models and are compared to each other in order to explore the importance of various Mediterranean settlements and the ways in which movement occurred around the region, investigating whether they challenge or support current understandings. Network methods are shown to be useful approaches with various potential future developments to more fully explore the late medieval Mediterranean. These networks both support and challenge current historiographical views of Mediterranean trade and movement. Many of the same settlements are identified as central, and the importance of islands for movement is supported. However, some smaller settlements, which are infrequently mentioned in current historical literature are revealed as central. Movement also appears to have relied on small stopping points, rather than following express routes between a few important centres.","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135303800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract In communication, rhetors are inclined to employ contentious rhetorical modes designed to win or compete. Consequently, noncontentious rhetorical modes, such as invitational rhetoric, are underappreciated. This study fosters a better understanding of the rationale and possibility of noncontentious rhetorical modes rooted in texts by traditional Chinese intellectuals. We identify, classify, and interpret indigenous terms identified with speech/word radicals in nine Chinese philosophical classics across five major schools of thought in ancient China using a corpus-driven approach and key concepts of rhetorical studies to delineate the pattern, components, and modes of ancient Chinese rhetoric. The results show that (1) characters with speech/word radicals in ancient Chinese texts follow a pattern between rank and frequency; (2) basic components of rhetorical acts in ancient China can be described based on these terms, and characteristic rhetorical components are identified upon similarities and differences among five schools of thought; and (3) studying rhetorical modes of ancient Chinese rhetoric with speech/word radicals reveals that intellectuals in ancient China adopted both the contentious modes and the noncontentious modes of rhetoric. This study also demonstrates the possibility of studying semantic radicals in texts through digital methods to delineate ancient Chinese rhetoric.
{"title":"Are Zhuzi contentious? A rhetorical investigation of speech/word radicals in ancient Chinese texts","authors":"Jiao Liu, Ke Li","doi":"10.1093/llc/fqad051","DOIUrl":"https://doi.org/10.1093/llc/fqad051","url":null,"abstract":"Abstract In communication, rhetors are inclined to employ contentious rhetorical modes designed to win or compete. Consequently, noncontentious rhetorical modes, such as invitational rhetoric, are underappreciated. This study fosters a better understanding of the rationale and possibility of noncontentious rhetorical modes rooted in texts by traditional Chinese intellectuals. We identify, classify, and interpret indigenous terms identified with speech/word radicals in nine Chinese philosophical classics across five major schools of thought in ancient China using a corpus-driven approach and key concepts of rhetorical studies to delineate the pattern, components, and modes of ancient Chinese rhetoric. The results show that (1) characters with speech/word radicals in ancient Chinese texts follow a pattern between rank and frequency; (2) basic components of rhetorical acts in ancient China can be described based on these terms, and characteristic rhetorical components are identified upon similarities and differences among five schools of thought; and (3) studying rhetorical modes of ancient Chinese rhetoric with speech/word radicals reveals that intellectuals in ancient China adopted both the contentious modes and the noncontentious modes of rhetoric. This study also demonstrates the possibility of studying semantic radicals in texts through digital methods to delineate ancient Chinese rhetoric.","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135482469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Registers are situationally defined text varieties, such as letters, essays, or news articles, that are considered to be one of the most important predictors of linguistic variation. Often historical databases of language lack register information, which could greatly enhance their usability (e.g. Early English Books Online). This article examines register variation in Late Modern English and automatic register identification in historical corpora. We model register variation in the corpus of Founding Era American English (COFEA) and develop machine-learning methods for automatic register identification in COFEA. We also extract and analyze the most significant grammatical characteristics estimated by the classifier for the best-predicted registers and found that letters and journals in the 1700s were characterized by informational density. The chosen method enables us to learn more about registers in the Founding Era. We show that some registers can be reliably identified from COFEA, the best overall performance achieved by the deep learning model Bidirectional Encoder Representations from Transformers with an F1-score of 97 per cent. This suggests that deep learning models could be utilized in other studies concerned with historical language and its automatic classification.
语域是根据情景定义的文本变体，如信件、散文或新闻文章，被认为是语言变化最重要的预测因素之一。语言的历史数据库往往缺乏寄存器信息，这可以大大提高它们的可用性(如早期英语书籍在线)。本文研究了近代英语中的语域变异和历史语料库中的语域自动识别。我们对《建国时代美国英语》语料库中的语域变化进行了建模，并开发了用于COFEA中语域自动识别的机器学习方法。我们还提取并分析了分类器对最佳预测寄存器估计的最重要的语法特征，发现18世纪的信件和期刊具有信息密度的特征。所选择的方法使我们能够更多地了解建国时代的登记册。我们表明，一些寄存器可以从COFEA中可靠地识别出来，深度学习模型《变形金刚》的双向编码器表征(Bidirectional Encoder Representations from Transformers)达到了最佳的整体性能，f1得分为97%。这表明深度学习模型可以用于其他有关历史语言及其自动分类的研究。
{"title":"In search of founding era registers: automatic modeling of registers from the corpus of Founding Era American English","authors":"Liina Repo, Brett Hashimoto, Veronika Laippala","doi":"10.1093/llc/fqad049","DOIUrl":"https://doi.org/10.1093/llc/fqad049","url":null,"abstract":"Abstract Registers are situationally defined text varieties, such as letters, essays, or news articles, that are considered to be one of the most important predictors of linguistic variation. Often historical databases of language lack register information, which could greatly enhance their usability (e.g. Early English Books Online). This article examines register variation in Late Modern English and automatic register identification in historical corpora. We model register variation in the corpus of Founding Era American English (COFEA) and develop machine-learning methods for automatic register identification in COFEA. We also extract and analyze the most significant grammatical characteristics estimated by the classifier for the best-predicted registers and found that letters and journals in the 1700s were characterized by informational density. The chosen method enables us to learn more about registers in the Founding Era. We show that some registers can be reliably identified from COFEA, the best overall performance achieved by the deep learning model Bidirectional Encoder Representations from Transformers with an F1-score of 97 per cent. This suggests that deep learning models could be utilized in other studies concerned with historical language and its automatic classification.","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134948118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Journal Article Review of Introduction to Digital Humanities: Enhancing Scholarship with the Use of Technology. Kathryn C. Wymer Get access Introduction to Digital Humanities: Enhancing Scholarship with the Use of Technology. Kathryn C. Wymer. New York: Routledge, 2021. 106 pp. ISBN: 978-0-367-71115-3 (P/B) Zilong Zhong, Zilong Zhong Research Institute of Foreign Languages, Beijing Foreign Studies University, China https://orcid.org/0000-0002-8512-4701 Search for other works by this author on: Oxford Academic Google Scholar Lin Fan Lin Fan Artificial Intelligence and Human Languages Lab, Beijing Foreign Studies University, China E-mail: fanlinqd@163.com; fanlin@bfsu.edu.cn Search for other works by this author on: Oxford Academic Google Scholar Digital Scholarship in the Humanities, fqad053, https://doi.org/10.1093/llc/fqad053 Published: 05 October 2023
数字人文导论:利用科技提升学术研究。获取数字人文导论:利用技术加强学术研究。凯瑟琳·c·怀默。纽约:劳特利奇出版社，2021。106 pp. ISBN: 978-0-367-71115-3 (P/B)钟子龙，钟子龙外国语研究所，中国北京外国语大学https://orcid.org/0000-0002-8512-4701作者其他著作检索地址:牛津学术b谷歌学者林凡林凡人工智能与人类语言实验室E-mail: fanlinqd@163.com;fanlin@bfsu.edu.cn搜索作者的其他作品:牛津学术谷歌人文学者数字奖学金，fqad053, https://doi.org/10.1093/llc/fqad053出版日期:2023年10月5日
{"title":"Review of Introduction to Digital Humanities: Enhancing Scholarship with the Use of Technology. Kathryn C. Wymer","authors":"Zilong Zhong, Lin Fan","doi":"10.1093/llc/fqad053","DOIUrl":"https://doi.org/10.1093/llc/fqad053","url":null,"abstract":"Journal Article Review of Introduction to Digital Humanities: Enhancing Scholarship with the Use of Technology. Kathryn C. Wymer Get access Introduction to Digital Humanities: Enhancing Scholarship with the Use of Technology. Kathryn C. Wymer. New York: Routledge, 2021. 106 pp. ISBN: 978-0-367-71115-3 (P/B) Zilong Zhong, Zilong Zhong Research Institute of Foreign Languages, Beijing Foreign Studies University, China https://orcid.org/0000-0002-8512-4701 Search for other works by this author on: Oxford Academic Google Scholar Lin Fan Lin Fan Artificial Intelligence and Human Languages Lab, Beijing Foreign Studies University, China E-mail: fanlinqd@163.com; fanlin@bfsu.edu.cn Search for other works by this author on: Oxford Academic Google Scholar Digital Scholarship in the Humanities, fqad053, https://doi.org/10.1093/llc/fqad053 Published: 05 October 2023","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":"2011 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134948121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract With the rapid growth of online content written in the Kurdish language, there is an increasing need to make it machine-readable and processable. Part of speech (POS) tagging is a critical aspect of natural language processing (NLP), playing a significant role in applications such as speech recognition, natural language parsing, information retrieval, and multiword term extraction. This study details the creation of the DASTAN corpus, the first POS-annotated corpus for the Sorani Kurdish dialect. The corpus, containing 74,258 words and thirty-eight tags, employs a hybrid approach utilizing the bigram hidden Markov model in combination with the Kurdish rule-based approach to POS tagging. This approach addresses two key problems that arise with rule-based approaches, namely misclassified words and ambiguity-related unanalyzed words. The proposed approach’s accuracy was assessed by training and testing it on the DASTAN corpus, yielding a 96% accuracy rate. Overall, this study’s findings demonstrate the effectiveness of the proposed hybrid approach and its potential to enhance NLP applications for Sorani Kurdish.
{"title":"A hybrid part-of-speech tagger with annotated Kurdish corpus: advancements in POS tagging","authors":"Dastan Maulud, Karwan Jacksi, Ismael Ali","doi":"10.1093/llc/fqad066","DOIUrl":"https://doi.org/10.1093/llc/fqad066","url":null,"abstract":"Abstract With the rapid growth of online content written in the Kurdish language, there is an increasing need to make it machine-readable and processable. Part of speech (POS) tagging is a critical aspect of natural language processing (NLP), playing a significant role in applications such as speech recognition, natural language parsing, information retrieval, and multiword term extraction. This study details the creation of the DASTAN corpus, the first POS-annotated corpus for the Sorani Kurdish dialect. The corpus, containing 74,258 words and thirty-eight tags, employs a hybrid approach utilizing the bigram hidden Markov model in combination with the Kurdish rule-based approach to POS tagging. This approach addresses two key problems that arise with rule-based approaches, namely misclassified words and ambiguity-related unanalyzed words. The proposed approach’s accuracy was assessed by training and testing it on the DASTAN corpus, yielding a 96% accuracy rate. Overall, this study’s findings demonstrate the effectiveness of the proposed hybrid approach and its potential to enhance NLP applications for Sorani Kurdish.","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135482619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The violation of social norms in TV and cinema is a well-known source of humor and catharsis, and researchers in digital humanities may benefit from the automatic identification of social norm violations. In this article, we introduce a novel methodology for identifying and analyzing the violation of social norms in textual data and illustrate it in the analysis of movie plots. The methodology leans on zero-shot classification, specifically relevant when massive, labeled datasets are unavailable. We test our methodology and provide researchers with (1) a theoretically grounded tool for screening textual data for social norm violation and with new datasets that include (2) 6,806 embarrassing situations from movie plots and their hypothesized violated norm and (3) 3,059 movie plots with their average embarrassment score.
{"title":"Identifying social norm violation in movie plots: from Borat to American Pie","authors":"Yair Neuman, Yochai Cohen, Wenpeng Yin","doi":"10.1093/llc/fqad052","DOIUrl":"https://doi.org/10.1093/llc/fqad052","url":null,"abstract":"Abstract The violation of social norms in TV and cinema is a well-known source of humor and catharsis, and researchers in digital humanities may benefit from the automatic identification of social norm violations. In this article, we introduce a novel methodology for identifying and analyzing the violation of social norms in textual data and illustrate it in the analysis of movie plots. The methodology leans on zero-shot classification, specifically relevant when massive, labeled datasets are unavailable. We test our methodology and provide researchers with (1) a theoretically grounded tool for screening textual data for social norm violation and with new datasets that include (2) 6,806 embarrassing situations from movie plots and their hypothesized violated norm and (3) 3,059 movie plots with their average embarrassment score.","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":"438 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135482727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retraction of: Statistical comparison between the alternatives of love in the poems of Sa'adi and Moulana","authors":"","doi":"10.1093/llc/fqad003","DOIUrl":"https://doi.org/10.1093/llc/fqad003","url":null,"abstract":"","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135971429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retraction of: Data visualization technique to study the conceptual metaphors in Divan of Hafiz and Bustan of Sa'adi","authors":"","doi":"10.1093/llc/fqad001","DOIUrl":"https://doi.org/10.1093/llc/fqad001","url":null,"abstract":"","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":"19 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139363978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article analyses how digital storytelling (DS) is applied to a digital humanities (DH) research project. It considers the purpose of storytelling and illustrates its use to help to democratize the wider project by including diverse voices and helping to reconstruct cultural memory. How can DS be used as a critical research method to help develop a robust methodology in DH research, particularly for organizing historical and cultural resources to form a story world and addressing biases in the established archival collections? This initiative is the latest phase of the Shanghai Memory project, adding an important additional dimension to the established showcase, A Journey from Wukang Road. Wukang Road, with many historical buildings going back to the colonial era, has important cultural significance as part of the former French Concession. Originally known as Rue de Ferguson, the name was changed in 1943, at the time of the Japanese occupation, seemingly as part of anti-colonial sentiment while China was being encouraged to resist her occupiers. Participation in the storytelling project is facilitated by user generated content and promotion in the Shanghai Library. The aim is to present a clearer storyline about the evolution of Wukang Road, explore its historical context, use the stories and reflections of the ordinary people to balance that of the elites, importantly encouraging inclusion of the vernacular Shanghainese dialect as part of wider movements to protect local languages.
本文分析了数字叙事(DS)如何应用于数字人文(DH)研究项目。它考虑了讲故事的目的，并说明了它的用途，以帮助民主化更广泛的项目，包括不同的声音和帮助重建文化记忆。如何使用DS作为一种重要的研究方法，以帮助在卫生研究中发展一种强有力的方法，特别是在组织历史和文化资源以形成一个故事世界和解决既定档案收藏中的偏见方面?这一举措是上海记忆项目的最新阶段，为已有的“武康路之旅”展示增加了一个重要的额外维度。作为前法租界的一部分，武康路拥有许多可追溯到殖民时代的历史建筑，具有重要的文化意义。原名弗格森街(Rue de Ferguson)， 1943年日本占领期间改名，似乎是为了表达反殖民主义情绪，同时鼓励中国抵抗其占领者。用户生成的内容和上海图书馆的推广促进了故事项目的参与。其目的是更清晰地呈现武康路演变的故事情节，探索其历史背景，利用普通人的故事和反思来平衡精英的故事和反思，重要的是鼓励将上海方言作为更广泛的保护本土语言运动的一部分。
{"title":"Reconstruction of cultural memory through digital storytelling: A case study of Shanghai Memory project","authors":"","doi":"10.1093/llc/fqad044","DOIUrl":"https://doi.org/10.1093/llc/fqad044","url":null,"abstract":"\u0000 This article analyses how digital storytelling (DS) is applied to a digital humanities (DH) research project. It considers the purpose of storytelling and illustrates its use to help to democratize the wider project by including diverse voices and helping to reconstruct cultural memory. How can DS be used as a critical research method to help develop a robust methodology in DH research, particularly for organizing historical and cultural resources to form a story world and addressing biases in the established archival collections? This initiative is the latest phase of the Shanghai Memory project, adding an important additional dimension to the established showcase, A Journey from Wukang Road. Wukang Road, with many historical buildings going back to the colonial era, has important cultural significance as part of the former French Concession. Originally known as Rue de Ferguson, the name was changed in 1943, at the time of the Japanese occupation, seemingly as part of anti-colonial sentiment while China was being encouraged to resist her occupiers. Participation in the storytelling project is facilitated by user generated content and promotion in the Shanghai Library. The aim is to present a clearer storyline about the evolution of Wukang Road, explore its historical context, use the stories and reflections of the ordinary people to balance that of the elites, importantly encouraging inclusion of the vernacular Shanghainese dialect as part of wider movements to protect local languages.","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46343155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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