Digital Scholarship in the Humanities最新文献_第5页

Eye Tracking in Linguistics. Salvatore Attardo and Lucy Pickering 语言学中的眼动追踪。塞尔瓦托·阿塔多和露西·皮克林

3区文学

Digital Scholarship in the Humanities Pub Date : 2023-11-03 DOI: 10.1093/llc/fqad081

Caterina Cacioli

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Methodological observations concerning word rankings and z-score refinements 关于单词排名和z分数改进的方法学观察

3区文学

Digital Scholarship in the Humanities Pub Date : 2023-11-03 DOI: 10.1093/llc/fqad079

Hartmut Ilsemann

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Research Methods for Digital Discourse Analysis. Camilla Vásquez 数字语篇分析研究方法。卡米拉Vasquez

3区文学

Digital Scholarship in the Humanities Pub Date : 2023-11-02 DOI: 10.1093/llc/fqad082

Hang Yu, Sijia Chang

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The Victorian anti-vaccination discourse corpus (VicVaDis): construction and exploration 维多利亚时代抗疫苗话语语料库(VicVaDis)的构建与探索

3区文学

Digital Scholarship in the Humanities Pub Date : 2023-10-26 DOI: 10.1093/llc/fqad075

Claire Hardaker, Alice Deignan, Elena Semino, Tara Coltman-Patel, William Dance, Zsófia Demjén, Chris Sanderson, Derek Gatherer

{"title":"The Victorian anti-vaccination discourse corpus (VicVaDis): construction and exploration","authors":"Claire Hardaker, Alice Deignan, Elena Semino, Tara Coltman-Patel, William Dance, Zsófia Demjén, Chris Sanderson, Derek Gatherer","doi":"10.1093/llc/fqad075","DOIUrl":"https://doi.org/10.1093/llc/fqad075","url":null,"abstract":"Abstract This article introduces and explores the 3.5-million-word Victorian Anti-Vaccination Discourse Corpus (VicVaDis). The corpus is intended to provide a (freely accessible) historical resource for the investigation of the earliest public concerns and arguments against vaccination in England, which revolved around compulsory vaccination against smallpox in the second half of the 19th century. It consists of 133 anti-vaccination pamphlets and publications gathered from 1854 to 1906, a span of 53 years that loosely coincides with the Victorian era (1837–1901). This timeframe was chosen to capture the period between the 1853 Vaccination Act, which made smallpox vaccination for babies compulsory, and the 1907 Act that effectively ended the mandatory nature of vaccination. After an overview of the historical background, this article describes the rationale, design and construction of the corpus, and then demonstrates how it can be exploited to investigate the main arguments against compulsory vaccination by means of widely accessible corpus linguistic tools. Where appropriate, parallels are drawn between Victorian and 21st-century vaccine-hesitant attitudes and arguments. Overall, this article demonstrates the potential of corpus analysis to add to our understanding of historical concerns about vaccination.","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":"5 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134908938","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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The combination of the Song Dynasty patterns and digital technology 宋代图案与数字技术的结合

3区文学

Digital Scholarship in the Humanities Pub Date : 2023-10-26 DOI: 10.1093/llc/fqad077

Jia Hu

{"title":"The combination of the Song Dynasty patterns and digital technology","authors":"Jia Hu","doi":"10.1093/llc/fqad077","DOIUrl":"https://doi.org/10.1093/llc/fqad077","url":null,"abstract":"Abstract The Song-era artifacts carry ideas of naturalness and moderate elegance, preserving and passing them on to future generations. The emerging digital opportunities and initiatives allow us not only to study pattern samples in detail but also to create digital equivalents that are not subject to aging or destruction. This research aims to obtain specific knowledge and situational experience regarding the digitization of Song Dynasty patterns. At the preliminary research stage, the authors performed an online survey on a popular Chinese platform. The survey confirmed the interest of a wide audience in cultural heritage (CH) objects and their preservation. The respondents noted the focus on digital sources of information and considered the documentary video format an optimal educational design. In the first stage, Song patterns were digitally processed using MATLAB version 7.0 and ACDSee. In the subsequent phase, based on the processed patterns, the authors developed an instructional video. In the third stage, the researchers assessed students’ knowledge acquired by watching a video (experimental group) or attending a lecture with a presentation based on raw patterns (control group). The results obtained before and after the intervention showed significant progress in each group. It indicated the effectiveness of the digitized images and this intervention for obtaining new knowledge and raising awareness about the Song Dynasty CH.","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136377294","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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Machine learning and data analysis for word segmentation of classical Chinese poems: illustrations with Tang and Song examples 中文古诗分词的机器学习与数据分析:唐宋例证

3区文学

Digital Scholarship in the Humanities Pub Date : 2023-10-20 DOI: 10.1093/llc/fqad073

Chao-Lin Liu, Wei-Ting Chang, Chang-Ting Chu, Ti-Yong Zheng

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Research on character tone trend clustering of Kunqu Opera based on quantum adaptive genetic algorithm 基于量子自适应遗传算法的昆曲字调趋势聚类研究

3区文学

Digital Scholarship in the Humanities Pub Date : 2023-10-19 DOI: 10.1093/llc/fqad074

Rui Tian, Ruheng Yin, Junrong Ban

{"title":"Research on character tone trend clustering of Kunqu Opera based on quantum adaptive genetic algorithm","authors":"Rui Tian, Ruheng Yin, Junrong Ban","doi":"10.1093/llc/fqad074","DOIUrl":"https://doi.org/10.1093/llc/fqad074","url":null,"abstract":"Abstract Kunqu, one of the oldest forms of Chinese opera, features a unique artistic expression arising from the interplay between vocal melody and the tonal quality of its lyrics. Identifying Kunqu’s character tone trend (vocal melodies derived from tonal quality of the lyrics) is critical to understanding and preserving this art form. Traditional research methods, which rely on qualitative descriptions by musicologists, have often been debated due to their subjective nature. In this study, we present a novel approach to analyze the character tone trend in Kunqu by employing computer modeling machine learning techniques. By extracting the character tone trend of Kunqu using computational modeling methods and employing machine learning techniques to apply cluster analysis on Kunqu’s character tone melody, our model uncovers musical structural patterns between singing and speech, validating and refining the qualitative findings of musicologists. Furthermore, our model can automatically assess whether a piece adheres to the rhythmic norms of ‘the integration of literature and music’ in Kunqu, thus contributing to the digitization, creation, and preservation of this important cultural heritage.","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135666913","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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One-third of a century on: the state of the art, pitfalls, and the way ahead relating to digital humanities approaches to translation and interpreting studies 三分之一个世纪过去了:翻译和口译研究中数字人文学科方法的现状、陷阱和未来发展方向

3区文学

Digital Scholarship in the Humanities Pub Date : 2023-10-18 DOI: 10.1093/llc/fqad076

Chonglong Gu

{"title":"One-third of a century on: the state of the art, pitfalls, and the way ahead relating to digital humanities approaches to translation and interpreting studies","authors":"Chonglong Gu","doi":"10.1093/llc/fqad076","DOIUrl":"https://doi.org/10.1093/llc/fqad076","url":null,"abstract":"Abstract The year 1993 represents a momentous milestone in the not-so-long history of translation and interpreting studies (TIS). The foundational paper published by Mona Baker entitled ‘Corpus linguistics and translation studies: Implications and applications’ in 1993 has signalled a defining moment in the application of digital humanities (DH) approaches in TIS. Since then, corpus-based TIS, as a most visible manifestation of DH in TIS, has come into being and is now gradually entering into maturity. Compared with the previously largely anecdotal, impressionist, and prescriptivist accounts of translation and interpreting, the incorporation of DH tools (e.g. CL) has significantly enriched TIS with new perspectives. This makes it possible for researchers to explore the various aspects of translation and interpreting in a more objective and systematic way, drawing on real-world data. Now one-third of a century has passed since the publication of Baker’s seminal paper, DH-inspired studies of translation and interpreting are in full swing. As we are reaching the 30-year mark of the influential publication, it is important for us to take stock of the previous achievements and look to the future both with pride and a cool head. In this article, we trace the developments of a DH approach to TIS and present the state of the art, before discussing some of the limitations and pitfalls and the road ahead going forward.","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135889024","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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Who could be behind QAnon? Authorship attribution with supervised machine-learning 谁是QAnon的幕后黑手?作者归属与监督机器学习

3区文学

Digital Scholarship in the Humanities Pub Date : 2023-10-18 DOI: 10.1093/llc/fqad061

Florian Cafiero, Jean-Baptiste Camps

{"title":"Who could be behind QAnon? Authorship attribution with supervised machine-learning","authors":"Florian Cafiero, Jean-Baptiste Camps","doi":"10.1093/llc/fqad061","DOIUrl":"https://doi.org/10.1093/llc/fqad061","url":null,"abstract":"Abstract A series of social media posts on 4chan then 8chan, signed under the pseudonym ‘Q’, started a movement known as QAnon, which led some of its most radical supporters to violent and illegal actions. To identify the person(s) behind Q, we evaluate the coincidence between the linguistic properties of the texts written by Q and to those written by a list of suspects provided by journalistic investigation. To identify the authors of these posts, serious challenges have to be addressed. The ‘Q drops’ are very short texts, written in a way that constitute a sort of literary genre in itself, with very peculiar features of style. These texts might have been written by different authors, whose other writings are often hard to find. After an online ethnography of the movement, necessary to collect enough material written by these thirteen potential authors, we use supervised machine learning to build stylistic profiles for each of them. We then performed a ‘rolling analysis’, looking repeatedly through a moving window for parts of Q’s writings matching our profiles. We conclude that two different individuals, Paul F. and Ron W., are the closest match to Q’s linguistic signature, and they could have successively written Q’s texts. These potential authors are not high-ranked personality from the US administration, but rather social media activists.","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135889025","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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A quantitative window on the history of statistics: topic-modelling 120 years of Biometrika 统计历史的定量窗口:生物计量学120年的主题建模

3区文学

Digital Scholarship in the Humanities Pub Date : 2023-10-13 DOI: 10.1093/llc/fqad072

Nicola Bertoldi, Francis Lareau, Charles H Pence, Christophe Malaterre

{"title":"A quantitative window on the history of statistics: topic-modelling 120 years of <i>Biometrika</i>","authors":"Nicola Bertoldi, Francis Lareau, Charles H Pence, Christophe Malaterre","doi":"10.1093/llc/fqad072","DOIUrl":"https://doi.org/10.1093/llc/fqad072","url":null,"abstract":"Abstract As one of the oldest continuously publishing journals in statistics (published since 1901), Biometrika provides a unique window onto the history of statistics and its epistemic development throughout the 20th and the beginning of the 21st centuries. While the early history of the discipline, with the works of key figures, such as Karl Pearson, Francis Galton, or Ronald Fisher, is relatively well known, the later (and longer) episodes of its intellectual development remain understudied. By applying digital tools to the full-text corpus of the journal articles (N = 5,596), the objective of this study is to provide a novel quantitative exploration of the history of the statistical sciences via an all-encompassing view of 120 years of Biometrika. To this aim, topic-modelling analyses are used and provide insights into the epistemic content of the journal and its evolution. Striking changes in the thematic content of the journal are documented and quantified for the first time, from the decline of Pearsonian and Weldonian biometrical research and the journal’s tight connection to biology in the 1930s to the rise of modern statistical methods beginning in the 1960s and 1970s. Newly developed approaches are used to infer author networks from publication topics. The resulting network of authors shows the existence of several communities, well-aligned with topic clusters and their evolution through time. It also highlights the role of specific figures over more than a century of publishing history and provides a first window onto the foundation, development, and diverse applications of the statistical sciences.","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135918922","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}

引用次数: 0