Digital Commons Network^™

English Language Challenges Faced By Licensed Guide Interpreters In Japan, Naoko Tanaka

International Journal of Tour Guiding and Visitor Attraction Research

This study investigates the challenges licensed guide interpreters in Japan encounter related to using the English language by examining foreign language tour guides’ use of English through interviews and surveys. The findings reveal that guides prioritise effectively conveying information and cautionary points to guests. They adjust their speaking speed, pronunciation, volume, vocabulary, and sentence structures to ensure easy understanding. Approximately 80% of the vocabulary used is at or below B2 level of the Common European Framework of Reference for Languages (CEFR), indicating the issues which non-native speakings guides face. Moreover, they use various methods to confirm understanding, such as repeating …

Circular Pedagogy To Support Technological Universities Cultural Transformation, Ivaylo Peev, Jon-Hans Coetzer, Nadia Barkoczi, Iulia Stefan, Todor Todorov, Patrick Flynn, Claudia Marian, Sonia Munteanu, Lia Pop, Lucia Morales

Irish Journal of Academic Practice

European countries need active and proactive educational systems assisted by models that can drive a cultural transformation, which supports sustainable socio-economic and environmental development. In this paper, we reflect on the future of European education by engaging on a critical review of the literature, which informs the further development of a novel pedagogy that we have coined as “Circular Pedagogy.” We offer some insights on how the foundations of a new educational model (ANEM) could be cemented and solidly supported by pillars that acknowledge our societies' rich and diverse cultures. Furthermore, the discussions are framed as part of the European …

Exploring The Significance Of The Traditional Chef’S Uniform In Making Sense Of Professionalism In Culinary Arts Using Interpretative Phenomenological Analysis, Orla Mc Connell

European Journal of Food Drink and Society

Previous studies have found that professionalism is an important success factor for chefs. Yet, research on what professionalism “means” to chefs, and how they “make sense” of it, is currently underexplored. While there is some evidence of the significance of the traditional chef’s uniform in professional identity formation, it also needs further consideration. Culinary arts lecturers and chefs have already contributed to these discussions, but the student voice remains largely unknown. Alongside this, there is no prior research specifically on professionalism in culinary arts in Ireland. Therefore, a research gap emerged, which this paper intends to address. Using interpretative phenomenological …

The Literary Gestalt Of The Restaurant Review, Anke Klitzing

European Journal of Food Drink and Society

The restaurant review is a quintessential form of gastronomic writing, but it has rarely been studied in terms of its literary form. This paper investigates the literary gestalt of restaurant reviews through a gastrocritical reading of two reviews by the Irish restaurant critic Helen Lucy Burke. It concludes that restaurant reviews typically include mimesis and evocative descriptions, a meal plot, inherent tension due to the performance character of the restaurant meal and incorporation anxiety, and a combination of phenomenological and ethnographic reporting. These literary features serve to make reviews an accurate and reliable account of the reviewer’s immersive experience, to …

Inclusive Counterfactual Generation: Leveraging Llms In Identifying Online Hate, M. Atif Qureshi, Arjumand Younus, Simon Caton

Articles

Counterfactually augmented data has recently been proposed as a successful solution for socially situated NLP tasks such as hate speech detection. The chief component within the existing counterfactual data augmentation pipeline, however, involves manually flipping labels and making minimal content edits to training data. In a hate speech context, these forms of editing have been shown to still retain offensive hate speech content. Inspired by the recent success of large language models (LLMs), especially the development of ChatGPT, which have demonstrated improved language comprehension abilities, we propose an inclusivity-oriented approach to automatically generate counterfactually augmented data using LLMs. We show …

Tailored-Llama: Optimizing Few-Shot Learning In Pruned Llama Models With Task-Specific Prompts, Danyal Aftab, Steven Davy

Conference Papers

Large language models demonstrate impressive proficiency in language understanding and generation. Nonetheless, training these models from scratch, even the least complex billion-parameter variant demands significant computational resources rendering it economically impractical for many organizations. With large language models functioning as general-purpose task solvers, this paper investigates their task-specific fine-tuning. We employ task-specific datasets and prompts to fine-tune two pruned LLaMA models having 5 billion and 4 billion parameters. This process utilizes the pre-trained weights and focuses on a subset of weights using the LoRA method. One challenge in fine-tuning the LLaMA model is crafting a precise prompt tailored to the …

The Trouble With Technology, John O'Connor

Conference Papers

In contemporary education, technology is either hailed as the panacea for affordable mass education or dreaded as a threat to our humanity. At the European Culture and Technology Laboratory, technology is understood in the context of the Ancient Greek origin of the word: technē—meaning a system or a method of making or doing, an art or a craft; a technique or a practice, even a way of thinking. The tools humans use are not merely a means of intervention in our environment but also a way of becoming human and thus, technology has a fundamental impact on our identity and …

An Explainable Approach To Understanding Gender Stereotype Text, Manuela Nayantara Jeyaraj, Sarah Jane Delany

Conference Papers

Gender Stereotypes refer to the widely held beliefs and assumptions about the typical traits, behaviours, and roles associated with a collective group of individuals of a particular gender in society. These typical beliefs about how people of a particular gender are described in text can cause harmful effects to individuals leading to unfair treatment. In this research, the aim is to identify the words and language constructs that can influence a text to be considered a gender stereotype. To do so, a transformer model with attention is fine-tuned for gender stereotype detection. Thereafter, words/language constructs used for the model's decision …

Fake News Detection In Online Platforms, Elena Shushkevich

Doctoral

This thesis presents research conducted during a Ph.D. program at Technological University Dublin from 2020 to 2024. The objective of this research is to develop and evaluate effective methods for detecting and classifying fake news in social media and press, addressing the critical issue of misinformation in the digital age. The relevance of this study is underscored by the increasing prevalence of fake news and its potential societal impact, emphasizing the importance of advanced tools for identifying and mitigating misinformation.

Towards Interpretable Propaganda Detection In News Text Through The Use Of Rhetorical Devices As Features, Kyle Hamilton

Doctoral

This doctoral thesis presents research undertaken towards interpretable propaganda detection in news text. Propaganda and mis/disinformation in the media have been identified in the social sciences literature as a major threat to the functioning of democratic society. While mis/disinformation is false by definition, propaganda is intended to modify the beliefs and behaviors of the information consumer but does not have to be false. Propagandistic text is often characterized by the use of rhetorical devices and linguistic style designed to exploit the reader’s cognitive and emotional biases. One way of counteracting this effect is by shifting the focus from “what” is …

Framing A Feminist Phenomenological Inquiry Into The Lived Experiences Of Women Entrepreneurs, Edicleia Oliveira, Serge Basini, Thomas M. Cooney

Articles

Purpose – This article aims to explore the potential of feminist phenomenology as a conceptual framework for advancing women’s entrepreneurship research and the suitability of interpretative phenomenological analysis (IPA) to the proposed framework.

Design/methodology/approach – The article critically examines the current state of women’s entrepreneurship research regarding the institutional context and highlights the benefits of a shift towards feminist phenomenology.

Findings – The prevailing disembodied and gender-neutral portrayal of entrepreneurship has resulted in an equivocal understanding of women’s entrepreneurship and perpetuated a male-biased discourse within research and practice. By adopting a feminist phenomenological approach, this article argues for the importance …

Using Explainable Ai (Xai) For Identification Of Subjectivity In Hate Speech Annotations For Low-Resource Languages, Madhuri Sawant, Arjumand Younus, Simon Caton, Muhammad Atif Qureshi

Conference proceedings

The proliferation of hate speech on digital platforms has become a significant issue, and automated content moderation systems built on machine learning are a proposed solution. However, they face challenges in multilingual and low-resource settings due to the need for extensive labelled data. This paper introduces an explainable AI framework designed to identify annotation discrepancies in low-resource languages, focusing on Hindi, the third most-spoken language worldwide, which lacks comprehensive research in hate speech detection. By examining the labelling quality of the Hate speech and Offensive Content Identification in English and Indo-Aryan Languages (HASOC) challenge, we use unsupervised learning methods to …

Ideological Presuppositions In Media Coverage Of Corporation Tax Policy In The Uk And Ireland: A Critical Discourse Analysis, Ciara Graham, Brendan K. O'Rourke

Articles

This paper argues that the state's capacity to tax corporations in order to fund itself is reaching crisis proportions. Following decades of trade liberalization, deregulation, and globalization, large multinational companies have been able to take advantage of tax competition between states in order to avoid taxation and offset their obligations. This crisis, arguably, has been facilitated by state actors and exacerbated by non-state actors: we explore the ways in which multi-national corporations (MNCs) manipulate their capital, assets, and supply chains to minimize their tax burdens; and we further consider the ways in which media narratives construct this issue and whether …

Heritage Languages In The Irish Primary School Context: Teachers’ Views And Practice In The Area Of First Language Maintenance In Bilingual Pupils, Suzanne Mccarthy

Doctoral

This research set out to explore the reality for current Irish primary school teachers working with children who speak a language other than English or Irish in the home context. The study sought to investigate teachers’ views on bilingualism and heritage languages, to examine their practice and experiences around support for heritage language (HL) inclusion in the classroom, and to consider any potential differences in teachers’ views and practice depending on the age of the children they teach.

Attention-Aware With Stacked Embedding For Sentiment Analysis Of Student Feedback Through Deep Learning Techniques, Shanza Zafar Malik, Khalid Iqbal, Muhammad Sharif, Yaser Ali Shah, Amaad Khalil, M. Abeer Irfan, Joanna Rosak-Szyrocka

Research Outputs: 2025-Present

Automatic polarity prediction is a challenging assessment issue. Even though polarity assessment is a critical topic with many existing applications, it is probably not an easy challenge and faces several difficulties in natural language processing (NLP). Public polling data can give useful information, and polarity assessment or classification of comments on Twitter and Facebook may be an effective approach for gaining a better understanding of user sentiments. Text embedding techniques and models related to the artificial intelligence field and sub-fields with differing and almost accurate parameters are among the approaches available for assessing student comments. Existing state-of-the-art methodologies for sentiment …

Irish Food History: A Companion, Máirtín Mac Con Iomaire, Dorothy Cashman

Irish Food History: A Companion

Irish Food History: A Companion provides the most comprehensive collection of information to date on this topic. It includes twenty-eight chapters from experts in the fields of archaeology, history, mythology, linguistics, literature, folklore, Irish studies, food studies, beverage studies, gastronomy, and culinary history, which apply the latest thinking and scholarship to the history of Irish food from the earliest inhabitants through to the twenty-first century. The individual chapters bring the reader on a journey from prehistory and the Ice Ages in Ireland through to the arrival of fisher-gatherers, early farmers, the introduction of livestock, cultivation of crops and development of …

1st Eut+ International Conference On Languages, Tamara Onnis, Stefanie Morgret

Conference Proceedings

Language has to power to bind us or divide us. Language enables us to cooperate with each other or impede each other. Through language, we are able to be the human beings we are today, hold our value systems dear and accomplish all that we have done over millennia. This volume provides an impression of the first international EUt+ language conference on ‘Inter/Multiculturalism in a Post Colonial Era: Languages and European Values’ hosted by University of Applied Sciences Darmstadt. Thirteen contributions invite you to experiences, ideas and research findings related to language and its interaction with intercultural communication, European values …

Exploring What Is Old And What Is New About Trauma-Informed Care: Implications For Child Welfare Practice., Maria Lotty

Irish Journal of Applied Social Studies

Trauma-informed care is becoming increasing part of discourse in child welfare practice. This paper explores the current debates and offers some critical reflections relevant for trauma-informed care implementation in child welfare practice. Firstly, the paper discusses the lack of conceptual clarity of a shared understanding for both trauma and trauma-informed care posing challenges for implementation and assessing evidence. Then, it explores the proposed paradigm shift of trauma-informed care in a child welfare practice context. The paper then explores aspects of trauma-informed care that may support newer ways of understanding experiences and interventions. Then, explores aspects of trauma-informed care that may …

Navigating Gendered Spaces: A Feminist Phenomenological Exploration Of Women Entrepreneurs Lived Experiences Within Government Support Agencies, Edicleia Oliveira, Serge Basini, Thomas M. Cooney

Articles

Purpose: This article explores women entrepreneurs' lived experiences in their interactions with government enterprise support agencies. It investigates the relationship between gendering and Entrepreneurial Orientation (EO), as a normative orientation adopted at the institutional level and justified by an economic rationale. It also explores how women entrepreneurs articulate their experiences through embodied metaphors and image schemas, shedding light on how they navigate the institutional entrepreneurial space. Design/methodology/approach: This study is framed within the concept of Phenomenological Orientation as conceptualised in feminist phenomenology. It applies Interpretative Phenomenological Analysis, a qualitative methodology focused on interpreting accounts of first-person lived experiences of a …

Framing A Feminist Phenomenological Inquiry Into The Lived Experiences Of Women Entrepreneurs, Edicleia Oliveira, Serge Basini, Thomas M. Cooney

Articles

Purpose: This article aims to explore the potential of feminist phenomenology as a conceptual framework for advancing women's entrepreneurship research and the suitability of interpretative phenomenological analysis (IPA) to the proposed framework. Design/methodology/approach: The article critically examines the current state of women's entrepreneurship research regarding the institutional context and highlights the benefits of a shift towards feminist phenomenology. Findings: The prevailing disembodied and gender-neutral portrayal of entrepreneurship has resulted in an equivocal understanding of women's entrepreneurship and perpetuated a male-biased discourse within research and practice. By adopting a feminist phenomenological approach, this article argues for the importance of considering the …

Gpt Assisted Annotation Of Rhetorical And Linguistic Features For Interpretable Propaganda Technique Detection In News Text, Kyle Hamilton, Luca Longo, Bojan Božić

Conference papers

While the use of machine learning for the detection of propaganda techniques in text has garnered considerable attention, most approaches focus on “black-box” solutions with opaque inner workings. Interpretable approaches provide a solution, however, they depend on careful feature engineering and costly expert annotated data. Additionally, language features specific to propagandistic text are generally the focus of rhetoricians or linguists, and there is no data set labeled with such features suitable for machine learning. This study codifies 22 rhetorical and linguistic features identified in literature related to the language of persuasion for the purpose of annotating an existing data set …

Towards Fairer Nlp Models: Handling Gender Bias In Classification Tasks, Nasim Sobhani, Sarah Jane Delany

Conference papers

Measuring and mitigating gender bias in natural language processing (NLP) systems is crucial to ensure fair and ethical AI. However, a key challenge is the lack of explicit gender information in many textual datasets. This paper proposes two techniques, Identity Term Sampling (ITS) and Identity Term Pattern Extraction (ITPE), as alternatives to template-based approaches for measuring gender bias in text data. These approaches identify test data for measuring gender bias in the dataset itself and can be used to measure gender bias on any NLP classifier. We demonstrate the use of these approaches for measuring gender bias across various NLP …

Elara Conference - Techniques & Technologies To Support Sustainable Education In The Academic Sphere Year Ii Book 2, Volume 2, European Common Laboratory For Pedagogical Action-Research And Student-Centred Learning (Elara)

Publications

The Fourth Industrial Revolution was and s till is focused on digitalising processes and using AI to increas e productivity. Industry 5.0, on the other hand, focuses on the human factor and the human as the centre of the production process. According to the new paradigm, technology should benefit humans, and human s, in turn, should actively collaborate with machines. In other words, while Industry 4.0 wa s based on the relationship between machines and IT systems, Industry 5.0 brings together the strengths of humans and machines. Following this train of thought, we have come up with the idea to …

Elara Conference - Techniques & Technologies To Support Sustainable Education In The Academic Sphere Year Ii Book 2 Vol 1, European Common Laboratory For Pedagogical Action-Research And Student-Centred Learning (Elara)

Publications

The Fourth Industrial Revolution was and s till is focused on digitalising processes and using AI to increase productivity. Industry 5.0, on the other hand, focuses on the human factor and the human as the centre of the production process. According to the new paradigm, technology should benefit humans, and human s, in turn, should actively collaborate with machines. In other words, while Industry 4.0 wa s based on the relationship between machines and IT systems, Industry 5.0 brings together the strengths of humans and machines. Following this train of thought, we have come up with the idea to initiate …

Body-Oriented Gesture Generation System For Medical Interpreter Robots Based On Reinforcement Learning From Human Feedback, Tung Ngo, Emma Murphy, Conor Mcginn, Robert Ross

Conference papers

Medical interpreters are crucial in facilitating communication between healthcare stakeholders who speak different languages. Body-oriented gestures convey critical information essential for accurate and high-quality interpretation in healthcare settings. This study introduces a body-oriented gesture generation system designed for medical interpreter robots based on reinforcement learning from human feedback (RLHF). The system allows robots to interpret more naturally and improve over time through interactions with humans. By adopting a human-centered development approach, we tailor our system to address the actual needs of healthcare stakeholders.

Guest Editorial Special Issue On Conceptual Learning Of Mathematics-Intensive Concepts In Engineering, Shannon Chance, Farrah Fayyaz, Anita L. Campbell, Nicole P. Pitterson, Sadia Nawaz

Research Outputs: 2025-Present

No abstract provided.

A Novel Integration Of Data-Driven Rule Generation And Computational Argumentation For Enhanced Explainable Ai, Lucas Rizzo, Damiano Verda, Serena Berretta, Luca Longo

Articles

Explainable Artificial Intelligence (XAI) is a research area that clarifies AI decision-making processes to build user trust and promote responsible AI. Hence, a key scientific challenge in XAI is the development of methods that generate transparent and interpretable explanations while maintaining scalability and effectiveness in complex scenarios. Rule-based methods in XAI generate rules that can potentially explain AI inferences, yet they can also become convoluted in large scenarios, hindering their readability and scalability. Moreover, they often lack contrastive explanations, leaving users uncertain why specific predictions are preferred. To address this scientific problem, we explore the integration of computational argumentation—a sub-field …

A Few Lessons From Facilitating Or Leading Risk-Based Decision-Making, H Gregg Claycamp

Level 3

This paper is based on a fireside chat which took in Technological University Dublin, on June 1^st at a conference entitled ‘ICH Q9(R1): The Next Frontier’. Given the brevity of an interview format the author expanded on the topics discussed at the conference, and shares in this paper more detail lessons he has learned for his experience in facilitating or leading Risk-Based Decision-Making.

Navigating Trauma And Disadvantage In Irish Society And The Arts, J. Javier Torres-Fernández

Journal of Franco-Irish Studies

Special edition editor's foreword

Defining Gastrocriticism As A Critical Paradigm On The Example Of Irish Literature And Food Writing: A Vade Mecum, Anke Klitzing

Doctoral

The aim of this study is to map out the gastrocritical approach, using Irish literature and writing to test its premises, and to provide a vade mecum for its practical application, particularly for interdisciplinary scholars. The gastrocritical approach furnishes a “culinary lens” for reading food and foodways in imaginative texts, informed by work in the field of food studies and gastronomy. The approach was broadly characterised by Tobin in 2002, but only sparsely used since. The past fifteen years have seen an increasing self-awareness and reflexivity in the field of literary food studies. As the field matures, there have been …