Hasil untuk "Languages and literature of Eastern Asia, Africa, Oceania"

Saadi Lahlou, Annabelle Gouttebroze, Atrina Oraee et al.

We qualitatively compared literature reviews produced with varying degrees of AI assistance. The same LLM, given the same corpus of 280 papers but different selections, produced dramatically different reviews, from mainstream and politically neutral to critical and post-colonial, though neither orientation was intended. LLM outputs always appear at first glance to be well written, well informed and thought out, but closer reading reveals gaps, biases and lack of depth. Our comparison of six versions shows a series of pitfalls and suggests precautions necessary when using AI assistance to make a literature review. Main issues are: (1) The bias of ignorance (you do not know what you do not get) in the selection of relevant papers. (2) Alignment and digital sycophancy: commercial AI models slavishly take you further in the direction they understand you give them, reinforcing biases. (3) Mainstreaming: because of their statistical nature, LLM productions tend to favor mainstream perspectives and content; in our case there was only 20% overlap between paper selections by humans and the LLM. (4) Limited capacity for creative restructuring, with vague and ambiguous statements. (5) Lack of critical perspective, coming from distant reading and political correctness. Most pitfalls can be addressed by prompting, but only if the user knows the domain well enough to detect them. There is a paradox: producing a good AI-assisted review requires expertise that comes from reading the literature, which is precisely what AI was meant to reduce. Overall, AI can improve the span and quality of the review, but the gain of time is not as massive as one would expect, and a press-button strategy leaving AI to do the work is a recipe for disaster. We conclude with recommendations for those who write, or assess, such LLM-augmented reviews.

Wang Vincent Ji-Xin, Yuan Hua-Hung

The morpheme po55 in the Yanzhou (Jiande) dialect functions as either a verb of giving or an object marker (Cao 2017). In the former case, po55 patterns with the ditransitive verb gěi in Mandarin Chinese, where the mode of transfer is semantically underspecified, while in the latter case, po55 marks distinct thematic roles of the post-po55 NP, akin to bǎ. The multifunction of po55 results from the grammaticalization pathway from verb of giving/helping to object marker, as defined by Chappell (2007). Through the extensive comparison with bǎ and bǎ-sentences in this paper, we argue that the post-po55 NP must be affected in a specific way and is always associated with the resultative state, due to the realization of the event denoted by the VP. By employing the linking framework in Randall 2010, we propose a unified treatment of po55 based on causativity, which ultimately leads to the conclusion that causativity constitutes the crucial component of the underlying Conceptual Structure of po55, while the morpheme po55 is lexicalized as a strict causative item, albeit its dual status in the grammar.

Priscilla Muheki, Mirjana Pović, Somaya Saad et al.

In preparation for the International Astronomical Union (IAU) General Assembly (GA) 2024, the first GA held in Africa, the African Network of Women in Astronomy (AfNWA) embarked on a visionary project: the creation of an inspiring storytelling book that showcases the remarkable journeys of professional female astronomers in Africa. This book is not merely a collection of biographies; it is a tapestry of resilience, passion, and scientific excellence woven through the lives of women who have ventured into the cosmos from the African continent. The primary aim of this book is twofold. Firstly, it seeks to bring greater visibility to women astronomers in Africa, highlighting their groundbreaking research and the personal stories that have shaped their careers. By shining a light on their achievements and awards, we hope to acknowledge their contributions to the field of astronomy and underscore the importance of diversity in science. Secondly, this book aspires to inspire and empower the next generation of scientists, particularly young women and girls across Africa. Through the personal narratives and professional achievements of these trailblazing astronomers and students in astronomy, we aim to spark curiosity, foster a love for science, and demonstrate that the sky is not the limit but just the beginning for those who dare to dream. As you delve into the stories within these pages, you will encounter a rich array of experiences and insights that reflect the unique challenges and triumphs women face in astronomy. From overcoming societal barriers to making groundbreaking discoveries, these women have carved paths that others can follow, proving that with determination and passion, the stars are within reach for everyone.

Joshua Akingbade, Jianhua Yang, Mir Seyedebrahimi

Coding is a fundamental skill required in the engineering discipline, and much work exists exploring better ways of teaching coding in the higher education context. In particular, Code Snippets (CSs) are approved to be an effective way of introducing programming language units to students. CSs are portions of source code of varying size and content. They can be used in a myriad of ways, one of which is to teach the code they contain as well as its function. To further explore the use of CSs, a pedagogical summer internship project was set up at the Warwick Manufacturing Group (WMG). The scope of the considerations for the study derives from an educational standpoint. Within the evaluations made, the focus was primarily given to pieces of information which proved to provide evidence pertaining to the methodology involved in either teaching or developing teaching materials. By taking the results produced into account from a pedagogical perspective, it was found that several qualities of popular code snippet tutorials which benefit or hinder the learning process, including code length, interactivity, further support, and quality of explanation. These qualities are then combined and used to present a plan for the design of an effective learning resource which makes use of code snippets.

Jun Cui

This study investigates the impact of artificial intelligence (AI) technology on cross-border trade using a qualitative content analysis approach. By synthesizing existing empirical studies, we aim to quantify the overall effect of AI on trade flows and identify the key moderating and mediating variables. Besides, our results show that AI adoption significantly increases trade volumes in Southeast Asia. Likewise, these effects are stronger in regions with advanced technological infrastructure and favorable regulatory frameworks. In addition, Trade firm size partially mediates the relationship between AI technology and trade performance. Furthermore, this study draws on several key theoretical frameworks that provide a comprehensive understanding of the mechanisms through which AI technology is affecting cross-border trade in Southeast Asia. The primary theories used in this research include the technology, organization, and environment (TOE) framework, the diffuse innovation (DOI) theory, Dynamic Capabilities Theory, Comparative Advantage Theory, Network theory, Transaction Cost Economics (TCE), the resource-based view, and the institution theory. Consequently, this study contributes to the existing literature by providing a comprehensive analysis of the role of AI in international trade and highlighting the importance of contextual factors in maximizing the benefits of AI. Thus, our findings underscore the need for favorable policies and robust infrastructure to facilitate AI-driven trade growth. A discussion of limitations and future research directions will also be part of the report in Southeast Asia Trade.

Mahtab Jamali, Paul Davidsson, Reza Khoshkangini et al.

Context is an important factor in computer vision as it offers valuable information to clarify and analyze visual data. Utilizing the contextual information inherent in an image or a video can improve the precision and effectiveness of object detectors. For example, where recognizing an isolated object might be challenging, context information can improve comprehension of the scene. This study explores the impact of various context-based approaches to object detection. Initially, we investigate the role of context in object detection and survey it from several perspectives. We then review and discuss the most recent context-based object detection approaches and compare them. Finally, we conclude by addressing research questions and identifying gaps for further studies. More than 265 publications are included in this survey, covering different aspects of context in different categories of object detection, including general object detection, video object detection, small object detection, camouflaged object detection, zero-shot, one-shot, and few-shot object detection. This literature review presents a comprehensive overview of the latest advancements in context-based object detection, providing valuable contributions such as a thorough understanding of contextual information and effective methods for integrating various context types into object detection, thus benefiting researchers.

Breandan Considine

We introduce a new technique for repairing syntax errors in arbitrary context-free languages. This technique models syntax repair as a language intersection problem by defining a finite language that provably generates every syntactically valid repair within a given edit distance. Leveraging a theoretical connection between the Bar-Hillel construction from formal language theory and CFL reachability from program analysis, we show that repairability in a finite number of typographic edits is polylogarithmic parallel time decidable and provide an enumeration algorithm based on the Brzozowski derivative. Finally, we evaluate this algorithm and its implementation, demonstrating state-of-the-art results on a Python syntax repair benchmark.

Sina Bagheri Nezhad, Ameeta Agrawal, Rhitabrat Pokharel

Multilingual language models (MLLMs) are crucial for handling text across various languages, yet they often show performance disparities due to differences in resource availability and linguistic characteristics. While the impact of pre-train data percentage and model size on performance is well-known, our study reveals additional critical factors that significantly influence MLLM effectiveness. Analyzing a wide range of features, including geographical, linguistic, and resource-related aspects, we focus on the SIB-200 dataset for classification and the Flores-200 dataset for machine translation, using regression models and SHAP values across 204 languages. Our findings identify token similarity and country similarity as pivotal factors, alongside pre-train data and model size, in enhancing model performance. Token similarity facilitates cross-lingual transfer, while country similarity highlights the importance of shared cultural and linguistic contexts. These insights offer valuable guidance for developing more equitable and effective multilingual language models, particularly for underrepresented languages.

Marco T. Morazán

Regular expressions in an Automata Theory and Formal Languages course are mostly treated as a theoretical topic. That is, to some degree their mathematical properties and their role to describe languages is discussed. This approach fails to capture the interest of most Computer Science students. It is a missed opportunity to engage Computer Science students that are far more motivated by practical applications of theory. To this end, regular expressions may be discussed as the description of an algorithm to generate words in a language that is easily programmed. This article describes a programming-based methodology to introduce students to regular expressions in an Automata Theory and Formal Languages course. The language of instruction is FSM in which there is a regular expression type. Thus, facilitating the study of regular expressions and of algorithms based on regular expressions.

E. B. Sakharova

The article reviews the book by Alexander Mescheryakov “Japan. Chasing the Wind of centuries” (Moscow: Lingvistika, 2022, 512 p. ISBN 978-5-91922-098-5). The monograph is a collection of the author’s recent articles. The range of topics and the chronological coverage are extraordinarily wide, with many phenomena of Japanese history and culture considered throughout centuries and portrayed in enormous diversity and variability. At the same time, the fates of individual people are not lost in the context of large-scale historical and cultural changes, and the author carefully brings us their voices. This makes the book a real journey in time.

Judith Böhler

Japan’s medical history was greatly influenced by German medicine. As a result, several German loanwords are still in use today as clinical terms in Japanese medical terminology. However, the progressive shift to English for scientific communication may have made some terms obsolete. This study aims to uncover to what extent German loanwords in Japanese medical terminology have been replaced by their English counterparts. The author (herself a medical student at the time of the study) conducted a survey via questionnaire among practicing physicians working in several departments of two major Japanese hospitals. Out of 39 pairs of loanwords of German origin and their English counterparts, participants were instructed to select the term they would rather use, and finally to state whether they thought German was still relevant to Japanese medical terminology. The study showed that, among the medical terms selected for the questionnaire, German loanwords prevailed, despite the near-complete shift to English as a scientific language. This may be due to the sociolinguistic significance of medical jargon, namely the usage of loanwords for efficient and enciphered communication between physicians, as well as for building their own professional identity.

S. Ramaila

This contribution highlights challenges afflicting physics education in Africa and provides a reflection on key areas for intervention to strengthen capacity building.

Constantine Lignos, Nolan Holley, Chester Palen-Michel et al.

In this position paper, we describe our perspective on how meaningful resources for lower-resourced languages should be developed in connection with the speakers of those languages. We first examine two massively multilingual resources in detail. We explore the contents of the names stored in Wikidata for a few lower-resourced languages and find that many of them are not in fact in the languages they claim to be and require non-trivial effort to correct. We discuss quality issues present in WikiAnn and evaluate whether it is a useful supplement to hand annotated data. We then discuss the importance of creating annotation for lower-resourced languages in a thoughtful and ethical way that includes the languages' speakers as part of the development process. We conclude with recommended guidelines for resource development.

Arnaud Mazier, Alexandre Bilger, Antonio E. Forte et al.

In this paper, we develop a framework for solving inverse deformation problems using the FEniCS Project finite element software. We validate our approach with experimental imaging data acquired from a soft silicone beam under gravity. In contrast with inverse iterative algorithms that require multiple solutions of a standard elasticity problem, the proposed method can compute the undeformed configuration by solving only one modified elasticity problem. This modified problem has a complexity comparable to the standard one. The framework is implemented within an open-source pipeline enabling the direct and inverse deformation simulation directly from imaging data. We use the high-level Unified Form Language (UFL) of the FEniCS Project to express the finite element model in variational form and to automatically derive the consistent Jacobian. Consequently, the design of the pipeline is flexible: for example, it allows the modification of the constitutive models by changing a single line of code. We include a complete working example showing the inverse deformation of a beam deformed by gravity as supplementary material.

M.A. Esandi-Baztan, Pedro A. Fuertes-Olivera

Specialized lexicography in graphic engineering has never had a tool in dictionary format that facilitates knowledge acquisition for students and meets their specific lexicographic needs in a technical university context. This paper presents an initial lemma list for a Spanish dictionary in the field of graphic engineering. The Delphi method has been used to assure expert consensus in this area. In addition, two equally professional surveys have been conducted by an expert and endorsed by experts. The fundamental concepts are considered, either because of the difficulty they represent, or due to their importance within our field of knowledge for which engineering documents and technical standards with technical graphic elements have been employed. Students have taken part in the process, thereby allowing identification of convergences and divergences between both groups of participants. The paper concludes with, on the one hand, a final list of accepted concepts and, on the other, of additional uncertain concepts, which could satisfy dictionary user needs and constitute the beginning of a functional online dictionary.

Nur Kamila Shofia, Imam Suyitno

Problematika belajar bahasa Indonesia dapat dilihat dengan memfokuskan kajian ini pada materi ajar, proses belajar, dan perbedaan budaya. Rancangan dalam penelitian ini menggunakan pendekatan kualitatif dengan jenis penelitian desktiptif. Data dalam penelitian ini berupa tuturan yang berisi informasi yang diperoleh dari catatan hasil wawancara. Sesuai dengan tujuan penelitian yakni mendeskripsikan problematika belajar Bahasa Indonesia mahasiswa asing program BIPA tahun 2018/2019. Sumber data dalam penelitian ini berupa transkrip hasil wawancara yang diperoleh dari kegiatan wawancara dengan mahasiswa asing dengan menggunakan panduan wawancara yang berisi petunjuk wawancara dan pertanyaan. Hasil penelitian menunjukkan bahwa diperoleh adanya problematika mahasiswa asing ketika belajar bahasa Indonesia.

Rachael Kei Kawasaki, Yuichi Ikeda

This study models cross-national attitudes towards immigrants in East and Southeast Asia as a signed and weighted bipartite network of countries and evaluative reactions to a variety of political issues, or determinants. This network is then projected into two one-mode networks, one of countries and one of determinants, and community detection methods are applied. The paper aims to fill two deficiencies in the current research on attitudes towards immigrants: 1) the lack of cross-national studies in Asia, a region where migration is growing, and 2) the tendency of researchers to treat determinants as uncorrelated, despite the interdependent nature of evaluative reactions. The results show that the nine countries in the sample are a cohesive clique, showing greater similarities than differences in the determinants of their attitudes. A blockmodeling approach was employed to identify eight determinants in attitudes towards immigrants, namely views on independence and social dependencies, group identities, absolute or relative moral orientation, attitudes towards democracy, science and technology, prejudice and stigma, and two determinants related to religion. However, the findings of this survey yielded some surprising results when compared with the literature review. First, education was not found to be a significant determinants of attitudes towards immigrants, despite its strong and consistent predictive power in European models. Second, prejudice appears to be mediated in part by religion, especially in religious identification and belief in God. Group identity and prejudice also appear to be related, though only weakly. Finally, anxiety appears in clusters related to social norms, suggesting that fears regarding immigrants relates closely to expectations of others' behavior.

Vimal Mishra, Udit Bhatia, Amar Deep Tiwari

Climate change is likely to pose enormous challenges for agriculture, water resources, infrastructure, and livelihood of millions of people living in South Asia. Here, we develop daily bias-corrected data of precipitation, maximum and minimum temperatures at 0.25° spatial resolution for South Asia (India, Pakistan, Bangladesh, Nepal, Bhutan, and Sri Lanka) and 18 river basins located in the Indian sub-continent. The bias-corrected dataset is developed using Empirical Quantile Mapping (EQM) for the historic (1951-2014) and projected (2015-2100) climate for the four scenarios (SSP126, SSP245, SSP370, SSP585) using output from 13 CMIP6-GCMs. The bias-corrected dataset was evaluated against the observations for both mean and extremes of precipitation, maximum and minimum temperatures. Bias corrected projections from 13 CMIP6-GCMs project a warmer (3-5°C) and wetter (13-30%) climate in South Asia in the 21st century. The bias-corrected projections from CMIP6-GCMs can be used for climate change impact assessment in South Asia and hydrologic impact assessment in the sub-continental river basins.

Malte Schröder, Andreas Bossert, Moritz Kersting et al.

Few African countries have reported COVID-19 case numbers above $1\,000$ as of April 18, 2020, with South Africa reporting $3\,034$ cases being hit hardest in Sub-Saharan Africa. Several African countries, especially South Africa, have already taken strong non-pharmaceutical interventions that include physical distancing, restricted economic, educational and leisure activities and reduced human mobility options. The required strengths and overall effectiveness of such interventions, however, are debated because of simultaneous but opposing interests in most African countries: strongly limited health care capacities and testing capabilities largely conflict with pressured national economies and socio-economic hardships on the individual level, limiting compliance to intervention targets. Here we investigate implications of interventions on the COVID-19 outbreak dynamics, focusing on South Africa before and after the national lockdown enacted on March 27, 2020. Our analysis shows that initial exponential growth of existing case numbers is consistent with doubling times of about $2.5$ days. After lockdown, the growth remains exponential, now with doubling times of 18 days, but still in contrast to subexponential growth reported for Hubei/China after lockdown. Moreover, a scenario analysis of a computational data-driven agent based mobility model for the Nelson Mandela Bay Municipality (with $1.14$ million inhabitants) hints that keeping current levels of intervention measures and compliance until the end of April is of insufficient length and still too weak, too unspecific or too inconsistently complied with to not overload local intensive care capacity. Yet, enduring, slightly stronger, more specific interventions combined with sufficient compliance may constitute a viable option for interventions for regions in South Africa and potentially for large parts of the African continent.

Natalia Zdanowska

The fall of the Berlin Wall in 1989, modified the relations between cities of the former communist bloc. The European and worldwide reorientation of interactions that followed raises the question of the actual state of historical relationships between Central Eastern European cities, but also with ex-USSR and ex-Yugoslavian ones. Do Central and Eastern European cities reproduce trajectories from the past in a new economic context? This paper will examine their evolution in terms of trade exchanges and air traffic connexions since 1989. They are confronted with transnational firm networks for the recent years. The main contribution is to show a progressive formation of several economic regions in Central and Eastern Europe as a result of integration into Braudel's économie-monde.