Translation Alignment for Ancient Greek and Portuguese
Yousef, Tariq (1); D'Orange Ferreira, Anise (2); Ferreira dos Reis, Michel (2); Palladino, Chiara (3)
1: University of Southern Denmark, Denmark; 2: São Paulo State University; 3: Furman University
In this paper, we describe our work on a project that aims to generate accurate manual alignments of ancient Greek and Brazilian Portuguese parallel texts and create translation pairs that can be used later for supervised training of automatic alignment models
Testing Heuristic Evaluation of Immigration Services: A Case Study in the Canadian Context
Verdini, Paolo; Khemka, Ayushi; Abu-Laban, Yasmeen
University of Alberta, Canada
This research investigates the synergy between Canadian immigration policies and heuristic evaluations for web applications. With a holistic set of heuristics, we aim to evaluate and ultimately improve user experience in online-based immigration services. The methodology is finally applied to a case study within Canadian immigration.
Examining the Shift in Political Inclination of Korean Middle School Language Textbooks between the Independence and the Korean War (1945–1953): A Network Modeling Approach
Lee, Eunji (1); Lee, Myeong (2)
1: Seoul National University, South Korea; 2: George Mason University, United States of America
HTML XMLBetween 1945-1953, South Korean society's rightward shift is mirrored in language textbooks, previously analyzed qualitatively. This study introduces a network modeling approach to overcome methodological challenges, like unknown political affiliations of textbook contributors. We analyze six textbooks for an initial assessment of quantifying political inclinations.
Optical Character Recognition systems for low-resource languages: A case for Sesotho
Setaka, Mmasibidi
South African Centre for Digital Language Resources (SADiLaR), South Africa
HTML XMLOptical Character Recognition tools are available for big languages like English but very few cater for languages like Sesotho. This project raises the inequities that exist on the treatment of different languages and argues for the need to invest in low resource languages to help sustain and preseverve them.
RESPONSIBLE CROWD ARCHITECTURES: EXAMINING INCENTIVE DESIGNS AND PARTICIPATION ACROSS DIVERSE KNOWLEDGE CREATORS
Richter, Ganit (1,2,3)
1: University of Haifa; 2: The College of Management Academic Studies (COLMAN); 3: Tel Aviv University
HTML XMLThis study examines the impact of different scoring systems on participation and contribution quality in gamified crowdsourcing platforms across diverse user groups. Comparing exponential and linear reward schemes, it reveals that incentive design effectiveness varies based on crowd type and knowledge goals.