Articles from Digital Scholarship in the Humanities (formerly LLC)

Development of technological ecosystems for cultural analysis: The case of Expofinder system and art exhibitions

AbstractCultural analysts are currently faced with an ecosystem of heterogeneous, globally distributed, and mass-scale sources that cannot be ignored in the research process. In addition to that, cultural analysts need to deal with the emergence of a knowledge economy which is no longer based on the value of the information entities contained in one or more documents, but on the potential for heterogeneous data to be recombined to generate previously unknown knowledge.

Literary intelligence analysis of novel protagonists’ personality traits and development

AbstractDigital technology is drawing more and more research attention in many areas of humanities because of its advantages in objectivity and automation. This work was an attempt to analyze two protagonists’ personality traits and development, through their dialogues in a Chinese novel Ordinary World. We used language technology LTP, a Simplified Chinese segmentation software, to segment dialogues. Then, on the basis of eighty-eight LIWC (Linguistic Inquiry and Word Count) features, personality predictive models were recruited to calculate the Big Five personality.

Paul Robeson’s place in YouTube: A social spatial network analysis of digital heritage

AbstractThis article utilizes the African American Paul Robeson and his representation on YouTube to address three critical and underexplored arenas in heritage studies. First, Paul Robeson is an individual all but lost in the public memory of the USA, despite having been one of the USA’s most well-known celebrities. This article presents, for the first time, a global analysis of his representation and presence through the medium of YouTube.

Needs analysis for an ESP case study developed for the context-aware ubiquitous learning environment

AbstractThe integration of context-aware ubiquitous learning (CAUL) into English for Specific Purposes (ESP) learning has become increasingly widespread due to the enhanced interaction between learners and situated contexts. Using an authentic learning site on environmental protection and its related discourse-specific English as target knowledge, this study analyzed the learning needs for developing ESP knowledge and skills through the use of smartphones and QR codes.

Discourse lexicon induction for multiple languages and its use for gender profiling

AbstractWe propose a novel way to create categorized discourse lexicons for multiple languages. We combine information from the Penn Discourse Treebank with statistical machine translation techniques on the Europarl corpus. Using gender profiling as an application, we evaluate our approach by comparing it with an approach using features from a knowledge-based lexicon and with an Rhetorical structure theory (RST) discourse parser. Our experiments are performed on corpora for three languages (English, Dutch, and German) in two genres (news and blogs).

Autonomous learning of productive vocabulary in the EFL context: An action research approach

AbstractThe present study exemplifies an action research-based approach to developing learner autonomy in learning productive vocabulary in an English as a foreign language (EFL) setting. We conducted two cycles of teaching actions as interventions to solve immediate learning problems. These actions involved Evernote-aided learning and activities of word guessing, gap noticing, and phonetic drilling. The results of vocabulary tests and interviews were analysed to measure and verify the outcomes of the interventions.

On comparing and clustering the alternatives of love in Saadi's lyric poems (Ghazals)

AbstractLove is the most significant subject of mystical path. This study explores all lines of Saadi’s lyric poems. Different words applied as alternatives of love were classified in twelve categories. To compare the frequency of different categories and words that were used as alternatives of love, the chi-square goodness-of-fit test was separately used. Then, using K-means clustering method, these alternatives were clustered in three categories (high frequency, medium frequency, and low frequency).

Genre-based writing instruction blended with an online writing tutorial system for the development of academic writing

AbstractAcademic writing training in various forms has been developed to enhance writing knowledge and skills for graduate students at universities. However, few studies have targeted comparative learning analysis of the Introduction and Method sections in terms of genre structure and language use with the support of technology in the humanities and social sciences contexts.

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