Xiaojing Zhao, Emmanuele Chersoni, Chu-Ren Huang, Han Xu
{"title":"How do language models handle emotional content in video game localization? A computational linguistics approach","authors":"Xiaojing Zhao, Emmanuele Chersoni, Chu-Ren Huang, Han Xu","doi":"10.1016/j.rmal.2025.100294","DOIUrl":"10.1016/j.rmal.2025.100294","url":null,"abstract":"<div><div>This study employs emotion analysis, a natural language processing technique, to examine how language models handle emotional content compared to human translators in video game localization. The analysis is based on a corpus consisting of Chinese subtitles from <em>Black Myth: Wukong</em>, their official English translations, and translations generated by a language model. The findings reveal that, despite similarities between humans and the language model in their translation of emotions, differences exist. Human translators often neutralize emotions through context-dependent strategies, such as omission, addition, and substitution, to address cultural sensitivities and enhance player engagement. In contrast, the language model relies on direct translation to preserve diverse emotions, including negative ones. Such an approach may risk misalignment with the preferences of target audiences due to limited adaptation of tone and cultural nuances. In addition, occasional mistranslation and hallucination were also found. This study highlights the promise of integrating language models into localization workflows and demonstrates the potential of emotion analysis for assessing translation accuracy.</div></div>","PeriodicalId":101075,"journal":{"name":"Research Methods in Applied Linguistics","volume":"5 1","pages":"Article 100294"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Benjamin Luke Moorhouse , Sal Consoli , Samantha M. Curle
{"title":"Research methods and generative artificial intelligence in applied linguistics","authors":"Benjamin Luke Moorhouse , Sal Consoli , Samantha M. Curle","doi":"10.1016/j.rmal.2026.100295","DOIUrl":"10.1016/j.rmal.2026.100295","url":null,"abstract":"","PeriodicalId":101075,"journal":{"name":"Research Methods in Applied Linguistics","volume":"5 1","pages":"Article 100295"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shinya Uekusa , Sally Carlton , Sylvia Nissen , Fernanda Fernandez Zimmermann , Jay Marlowe , Fareeha Ali , Wondyrad A. Asres , Ginj Chang , Rami Elsayed , Jia Geng , D.H.P.S. Gunasekara , Jean Hur , Rika Maeno , Minh Tran , Wahida Zahedi , Stephen May , Tyron Love
{"title":"Overcoming and reinforcing linguicism? Language, power and critical reflexivity in a large multilingual research team","authors":"Shinya Uekusa , Sally Carlton , Sylvia Nissen , Fernanda Fernandez Zimmermann , Jay Marlowe , Fareeha Ali , Wondyrad A. Asres , Ginj Chang , Rami Elsayed , Jia Geng , D.H.P.S. Gunasekara , Jean Hur , Rika Maeno , Minh Tran , Wahida Zahedi , Stephen May , Tyron Love","doi":"10.1016/j.rmal.2026.100298","DOIUrl":"10.1016/j.rmal.2026.100298","url":null,"abstract":"<div><div>This paper explores the tensions between challenging and unintentionally reinforcing linguicism in a large-scale research project on multilingual crisis communication during the COVID-19 pandemic in Aotearoa New Zealand. Our study involved a multilingual and multicultural research team conducting interviews in 14 different languages, with a methodological commitment to linguistic justice and inclusive research. Using collective self-reflection, we critically examined how our positionalities, language practices and research design, though intended to be counterhegemonic, sometimes reproduced dominant language ideologies. In this paper, we explore three key tensions: 1) the paradoxical privilege and power of bi-/multilingual researchers; 2) the internalisation of linguicism among participants; and 3) the challenges of translating emotional and cultural nuances. These findings reveal the complexity and paradoxes inherent in inclusive multilingual research, demonstrating how even well-intentioned practices can reproduce symbolic violence and linguicism. We argue for deeper reflexivity, methodological humility, and structurally transformative approaches that centre epistemic justice and critically challenge the institutional and ideological roots of linguicism. This paper contributes to critical language studies, disaster research and decolonising methodologies, providing both theoretical insights and practical guidance for researchers working with linguistic minorities.</div></div>","PeriodicalId":101075,"journal":{"name":"Research Methods in Applied Linguistics","volume":"5 1","pages":"Article 100298"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jason Geller , Yanina Prystauka , Sarah E. Colby , Julia R. Drouin
{"title":"Language without borders: A step-by-step guide to analyzing webcam eye-tracking data for L2 research","authors":"Jason Geller , Yanina Prystauka , Sarah E. Colby , Julia R. Drouin","doi":"10.1016/j.rmal.2025.100226","DOIUrl":"10.1016/j.rmal.2025.100226","url":null,"abstract":"<div><div>Eye-tracking has become a valuable tool for studying cognitive processes in second language acquisition and bilingualism (Godfroid et al., 2024). While research-grade infrared eye-trackers are commonly used, several factors limit their widespread adoption. Recently, consumer-based webcam eye-tracking has emerged as an attractive alternative, requiring only a personal webcam and internet access. However, webcam-based eye-tracking introduces unique design and preprocessing challenges that must be addressed to ensure valid results. To help researchers navigate these challenges, we developed a comprehensive tutorial focused on visual world webcam eye-tracking for second language research. This guide covers key preprocessing steps—from reading in raw data to visualization and analysis—highlighting the open-source R package webgazeR (Geller, 2025), freely available at: <span><span>https://github.com/jgeller112/webgazer</span><svg><path></path></svg></span>. To demonstrate these steps, we analyze data collected via the Gorilla platform (Anwyl-Irvine et al., 2020) using a single-word Spanish visual world paradigm (VWP), showcasing evidence of competition both within and between Spanish and English. This tutorial aims to empower researchers by providing a step-by-step guide to successfully conduct webcam-based visual world eye-tracking studies. To follow along, please download the complete manuscript, code, and data from: <span><span>https://github.com/jgeller112/L2_VWP_Webcam</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":101075,"journal":{"name":"Research Methods in Applied Linguistics","volume":"4 3","pages":"Article 100226"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144471641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identifying and explaining L2 growth spurts: A tutorial on generalized additive models for time-intensive longitudinal data in applied linguistics research","authors":"Mason A. Wirtz, Simone E. Pfenninger","doi":"10.1016/j.rmal.2025.100259","DOIUrl":"10.1016/j.rmal.2025.100259","url":null,"abstract":"<div><div>Recent years have seen a marked increase in the use of time-intensive longitudinal designs in applied linguistics, particularly in second language acquisition (SLA) research, where individual developmental trajectories have become inferential targets in their own right. Generalized additive mixed-effects models (GAMMs) have emerged as a powerful tool for modeling between- and within-person variation, for disentangling linear from nonlinear relationships, and for assessing the predictive power of (relatively) static (e.g., gender, educational attainment) alongside time-varying (e.g., socioaffect, cognition) predictors on developmental pathways. Setting our tutorial apart from other GAMM resources in computational linguistics, phonetics, and sociolinguistics, we present the first in-depth application of GAMMs to identify and explain periods of significant change (growth or decline) in longitudinal datasets with repeated measurements. We draw on a novel micro-development study comprising 43 older adult L2 learners who completed a battery of L2, socioaffective, and cognitive tasks in 30 consecutive waves across a period of two years (i.e., 30 measures per participant per task). Our contribution guides readers through the computational steps to identify periods of statistically significant change. We then illustrate how findings can be interpreted and supplemented with both qualitative introspective data and quantitative measures of individual learner differences. While our tutorial focuses on SLA research, the methods are applicable to any number of disciplines in the social and natural sciences where developmental patterns are of direct inferential interest.</div></div>","PeriodicalId":101075,"journal":{"name":"Research Methods in Applied Linguistics","volume":"4 3","pages":"Article 100259"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Developing and piloting SemiMed—A resource for semi-technical medical vocabulary","authors":"Chinh Ngan Nguyen Le, Julia Miller","doi":"10.1016/j.rmal.2025.100239","DOIUrl":"10.1016/j.rmal.2025.100239","url":null,"abstract":"<div><div>Semi-technical medical vocabulary—words that often convey different meanings depending on context—commonly poses challenges for teaching and learning. These difficulties are largely due to polysemy and homography, which are not fully addressed in conventional dictionaries or frequency wordlists. This study aimed to develop and pilot a new lexical resource, named SemiMed, that explicitly accounts for polysemy and homography in semi-technical medical vocabulary. The starting point was Hsu’s (2013) corpus-based Medical Word List, which is useful for the teaching and learning of words with single but not multiple meanings. Multi-meaning semi-technical medical words in Hsu’s list were analyzed using a lexical semantic approach to polysemy and homography. A corpus-based analysis followed, to quantify word meaning frequency. Cantos and Sanchez’s (2001) Lexical Constellations were then adapted to showcase intricate interrelations between general and specialized meanings of semi-technical medical words. To examine SemiMed’s usefulness, a pilot study was conducted where 18 EFL medical students were provided with lexical resources, including SemiMed samples and conventional dictionaries, to help them use appropriate vocabulary while role-playing targeted medical scenarios. Focus groups were conducted to gain participants’ feedback on the usefulness of SemiMed.</div></div>","PeriodicalId":101075,"journal":{"name":"Research Methods in Applied Linguistics","volume":"4 3","pages":"Article 100239"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144685765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Genre-based fine-tuning of large language models with self-organizing maps for automated writing evaluation","authors":"Stephanie Link, Robert Redmon, Martin Hagan","doi":"10.1016/j.rmal.2025.100219","DOIUrl":"10.1016/j.rmal.2025.100219","url":null,"abstract":"<div><div>Automated Writing Evaluation (AWE) systems have significantly advanced in providing feedback for academic essay writing. However, their predominant focus on sentence-level features highlights the need for a broader approach to AWE development. While genre-based AWE systems aim to address the socio-rhetorical complexities of writing for specific audiences and purposes, their availability remains limited. This scarcity is largely due to methodological constraints in developing robust feedback engines that effectively support discipline-specific writing needs. This article describes a new method for fine-tuning large-language models (LLM) and evaluating model performance, which we refer to as G-FiT Mapping (Genre-based FIne-Tuning with self-organizing maps). This method utilizes semi-automated annotation of genre-based functional-rhetorical units of text to efficiently fine-tune an LLM and then uses self-organizing maps to evaluate and improve network performance. The G-FiT Mapping method resulted in a new automated feedback engine for an intelligent tutoring system called Dissemity, for DISSeminating research with clarITY, that supports discipline-specific, scientific writers in writing for publication. We demonstrate use of G-Fit Mapping for establishing measurable improvements in network performance, offering implications for network interpretation, genre-based AWE, and AI-based learning systems development.</div></div>","PeriodicalId":101075,"journal":{"name":"Research Methods in Applied Linguistics","volume":"4 3","pages":"Article 100219"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144242859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Francesco Petriglia , Giulia Gasparotto , Silvia D’Ortenzio , Ilaria Gabbatore , Andrea Marini
{"title":"Assessing lexical diversity and informativeness across the adult lifespan: A comprehensive investigation","authors":"Francesco Petriglia , Giulia Gasparotto , Silvia D’Ortenzio , Ilaria Gabbatore , Andrea Marini","doi":"10.1016/j.rmal.2025.100276","DOIUrl":"10.1016/j.rmal.2025.100276","url":null,"abstract":"<div><div>We investigated the effects of aging on lexical diversity (LD) and lexical informativeness (LI) in 251 adults aged 25 to 89. Multiple LD measures were analyzed, including traditional (Number of Different Words, NDW; and Type-Token Ratio, TTR), length-independent (Moving-Average Type-Token Ratio, MATTR; Measure of Textual Lexical Diversity, MTLD; Hypergeometric Distribution Diversity, HD-D), and entropy-based (Word Information Measure, WIM) metrics. An age-related decline was found in LD, although not all metrics captured this trend equally. WIM was the most sensitive indicator. MATTR and MTLD showed smaller or inconsistent age effects. Regarding LI, age and education were significant predictors. WIM was the strongest predictor of informativeness, followed by NDW. WIM is a robust and sensitive metric for capturing age-related discourse changes.</div></div>","PeriodicalId":101075,"journal":{"name":"Research Methods in Applied Linguistics","volume":"4 3","pages":"Article 100276"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145361442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Doing interpretative phenomenological analysis (IPA) in applied linguistics research: A field-specific guide","authors":"Rohan K. Willis , Sharon Harvey","doi":"10.1016/j.rmal.2025.100279","DOIUrl":"10.1016/j.rmal.2025.100279","url":null,"abstract":"<div><div>As applied linguistics increasingly embraces qualitative and socially situated methodologies, it has drawn on approaches from other disciplines. This paper extends that trajectory by exploring interpretative phenomenological analysis (IPA), a qualitative methodology originating in psychology and grounded in phenomenology, hermeneutics, and idiography. IPA offers a valuable framework for research focused on the lived experiences of language users, learners, and educators. The paper argues for a critical repositioning of IPA within applied linguistics, highlighting its capacity to examine how individuals make meaning of complex linguistic, cultural, and educational phenomena. Using data from interviews and focus groups, the IPA demonstrated here enables detailed, contextualized analysis of additional language (AL) learning and teaching practices. It attends to both individual cases and cross-case thematic patterns. By providing a methodological guide featuring a worked example from a doctoral study with New Zealand-based ESOL teachers, the analysis examines how teachers’ experiences of AL learning inform their TESOL knowledge and practices and how they view their professional positioning in the TESOL sector. The paper offers strategies for rigor, transparency, and ethical reflexivity in IPA research. It concludes with a critical reflection on the strengths and limitations of IPA for researching language teacher knowledge and practice.</div></div>","PeriodicalId":101075,"journal":{"name":"Research Methods in Applied Linguistics","volume":"4 3","pages":"Article 100279"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Applying a polytomous Rasch model to investigate Likert scale functioning and L2 writing strategy use","authors":"Apichat Khamboonruang","doi":"10.1016/j.rmal.2025.100240","DOIUrl":"10.1016/j.rmal.2025.100240","url":null,"abstract":"<div><div>While Rasch models have been increasingly employed in applied linguistics research, their use remains underexplored in L2 writing strategy research, which has relied primarily on statistical methods that assume continuous data. This study aimed to address this methodological gap by applying a polytomous Rasch modelling approach to investigate Likert scale functioning in the context of L2 writing strategy use. Participants were 172 Thai EFL English-major undergraduates who completed a 26-item, 5-category Likert-type scale designed to measure five strategy domains: metacognitive, effort-regulation, cognitive, social, and affective strategies. The data were analysed using a Rasch rating scale model (RSM) implemented in Winsteps and Facets software programmes. The main results indicated that the RSM analysis provided sound evidence of appropriate item and category functioning, while revealing specific areas for refinement, such as limited item coverage, item redundancy, and category disordering. The RSM analysis also revealed systematic trends in Thai EFL students’ writing strategy use across domains and proficiency levels: metacognitive strategies were used most often and clearly differentiated higher- and lower-achieving students, while social strategies were less common and more frequently used by lower achievers. These findings highlight the value of a polytomous Rasch modelling approach in examining not only rating scale functioning but also writing strategy use. The present findings have implications for rating scale validation and L2 writing strategy instruction.</div></div>","PeriodicalId":101075,"journal":{"name":"Research Methods in Applied Linguistics","volume":"4 3","pages":"Article 100240"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144597529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}