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• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +7 more

Paulo Miguel Torres Duarte Quaresma is a Full Professor at the Department of Informatics, Universidade de Évora, Portugal, and Senior Researcher at Centro ALGORITMI. His career spans roles as Vice-Rector for Research and Innovation (2022–2025), Director of the School of Science and Technology (2009–2013), and Member of FCT’s Board of Directors (2021). Holding a PhD in Informatics (specialized in AI/NLP) from Universidade Nova de Lisboa and a Habilitation in Informatics from Universidade de Évora, he leads the AI & BigData Lab (equipped with 10 petaflop NVIDIA DGX-A100 supercomputers) and co-coordinates PORTULAN CLARIN, a €2M FCT-funded language technology infrastructure. Current Affiliation: Universidade de Évora (since 1997) Research Labs: AI & BigData Lab, PORTULAN CLARIN, VISTA Lab, NOVA LINCS (2019–2021) His research focuses on Artificial Intelligence and Natural Language Processing , with applications in legal reasoning , medical informatics , geospatial accident analysis , and semantic web technologies . Recent work includes creating European Portuguese BERT models, analyzing 18th-century health texts, and developing AI solutions for clinical triage. Advising highlights include supervising 7 PhD and 26 MSc theses. He chairs international conferences like PROPOR (2020) and IDEAL (2023), and participates in projects integrating AI with public administration and regional development through Alentejo2020 funding.

• Combustion chemistry
• Chemical vapor deposition (CVD) kinetics
• Materials chemistry
• +3 more

Nilson Kunioshi is Professor at Waseda University’s School of Creative Science and Engineering, holding a Dr. Eng. from Kyoto University. His work integrates combustion chemistry, materials chemistry, and science-education research, with 32 Scopus papers and an h-index of 8. He leads projects on CVD reaction kinetics, English-medium instruction, and corpus-based pedagogical tools. Education: 1992 – Dr. Eng., Graduate School of Engineering, Kyoto University (Industrial Chemistry) 1985 – B.Eng., University of São Paulo, Faculty of Engineering (Chemical Engineering) Research Interests: Kunioshi’s group applies quantum chemical calculations and kinetic modeling to silicon CVD processes, elucidating pressure-dependent rate coefficients, surface reaction mechanisms, and chlorine elimination pathways. Parallel work in education employs large-scale corpora (OnCAL, JECPRESE) to reveal cultural differences in Japanese vs. American STEM lectures and to support non-native English instructors in EMI contexts. Publication Trends: Recent articles shift from fundamental combustion/PAH studies toward CVD kinetics and English for STEM education, reflecting dual foci on materials chemistry and pedagogical innovation. Grants & Projects: JSPS KAKENHI (B) 2019-2022: “Elucidation of the role of language in science instruction through English and Japanese” JSPS KAKENHI (C) 2021-2024: “Designing novel bone-inducing molecules by an experimental-computational approach” JSPS KAKENHI (B) 2012-2016: Development of OnCAL corpus for EMI support Labs & Teams: He heads a computational-reaction group within the Faculty of Science and Engineering, collaborates with the Yamaguchi and Fuwa laboratories on surface chemistry, and co-leads international corpus projects with partners at Stanford and MIT.

• Spanish Language
• Corpus Linguistics
• Historical Lexicography
• +4 more

M. Teresa Cáceres Lorenzo is a full Professor in the Department of Hispanic, Classical and Arabic and Oriental Studies at the University of Las Palmas de Gran Canaria, where she leads research within the GIR IATEXT group focused on Corpus Studies and Applied Linguistics. Her work bridges historical linguistics, lexicography, and cultural studies, with particular emphasis on American Spanish evolution during the colonial era (1500-1740). Her research examines: Cross-cultural terminology exchanges between Spanish and indigenous languages (especially Nahuatl) Lexical development in nautical, ethnographic, and administrative colonial texts Socio-linguistic dynamics in border regions of historical America Methodological innovations in corpus linguistics for historical texts With over 150 publications, her scholarly output demonstrates consistent focus on: Diachronic analysis of American Spanish lexicon Interdisciplinary approaches combining philology, history, and cultural studies Pedagogical applications for Spanish language education She actively collaborates with international researchers and contributes to public linguistics discourse through media platforms. Her educational research investigates: Effectiveness of podcast-based oral training for Chinese-speaking students Competency development in humanities and engineering graduates Optimization of thesis supervision models

María Teresa Sánchez NietoView profile

Professor

• Translation Studies
• Corpus Linguistics
• German-Spanish Translation
• +3 more

María Teresa Sánchez Nieto is a Professor in the Department of Spanish Language - Translation and Interpreting at the University of Valladolid's Faculty of Translation and Interpreting. With a career spanning over two decades since earning her Bachelor's Degree in German Philology in 1996, she has established herself as a significant scholar in Translation Studies, particularly in German-Spanish translation. Her research interests focus on Translation Studies, Corpus Linguistics, Contrastive Linguistics, and specialized translation domains, particularly wine industry terminology. She has developed expertise in analyzing cultural references in translation, resultative constructions across languages, and the application of parallel corpora to translation research. Her publication record shows a consistent output since the late 1990s, with a notable increase in scholarly contributions from 2007-2021. Her work demonstrates a clear trajectory from foundational translation studies toward specialized corpus-based research, with increasing focus on domain-specific translation (particularly vitiviniculture) and methodological innovation in translator training. Translation practices on the euro|topics press roundup: a case study (2021) Parallel corpora in focus (2019) Learner corpora and creative writing in translation pedagogy (2016) German-Spanish contrastive studies using parallel corpora (2011-2018) Wine industry terminology and cultural references in translation (2013-2015) Sánchez Nieto's research methodology combines corpus linguistics with practical translation challenges, often employing action research approaches to develop innovative translator training methods. Her work bridges theoretical translation studies with practical applications in specialized domains, making significant contributions to both academic knowledge and professional translation practice.

• Translation Studies
• Corpus Linguistics
• German-Spanish Translation
• +4 more

María Teresa Sánchez Nieto is a Professor in the Department of Spanish Language at the University of Valladolid, specializing in Translation and Interpretation. She is affiliated with the Faculty of Translation and Interpreting of Soria, where she contributes to academic research and teaching in translation studies. Her research interests focus on German-Spanish translation, corpus-based translation studies, specialized translation (particularly wine-related terminology and tourism discourse), contrastive linguistics, and translation pedagogy. She has developed significant expertise in analyzing adverbial constructions, passive forms, and cultural references in translation contexts. Dr. Sánchez Nieto has maintained an active publication record from 1998 to 2024, with 17 journal articles, 24 collaborative works, 11 reviews, and 5 books. Her recent work (2020-2024) shows continued engagement with translator agency, corpus applications, and German-Spanish contrastive analysis. She has directed at least one doctoral thesis on tourism discourse translation. Key research areas include: German-Spanish parallel corpus (PaGeS) development and application Wine terminology and cultural references in translation Translation of adverbial constructions and passive forms Effects of mobility programs on translator training Interdisciplinary approaches to translation education She has edited significant volumes including 'Parallel Corpora for Contrastive and Translation Studies: New resources and applications' (2019) and 'Corpus-based Translation and Interpreting Studies: From description to application' (2015), demonstrating her leadership in corpus-based translation research methodology. Dr. Sánchez Nieto's work bridges theoretical translation studies with practical applications in translator training, making her a significant contributor to both academic research and pedagogical innovation in the field of translation studies.

• Computational linguistics
• Hesitation phenomena
• Fluency
• +5 more

Ralph Leon Rose is an Associate Professor at Waseda University's Faculty of Science and Engineering, specializing in computational linguistics and second language acquisition. Holding a Ph.D. in Linguistics from Northwestern University (2005), his career spans over 30 years in language education across Japanese institutions including Gunma Prefectural Women's University and Notre Dame Seishin Women's Junior College. His research focuses on hesitation phenomena , speech fluency measurement , and computer-assisted language learning . Recent work analyzes filled pauses across languages, develops AI-powered vocabulary assessment tools (VocQGen), and investigates ethical implications of disfluencies in AI speech. His publications reveal consistent exploration of how temporal speech variables affect second language perception and production. AY2018 e-Teaching Award from Waseda University Cognitive Science Fellow at Northwestern University Rose leads multiple research projects including Automatic generation of vocabulary quiz items and Modeling speech fluency for e-learning . His lab develops practical tools like Fluidity (real-time fluency feedback), JESPR (self-paced reading tasks), and the Crosslinguistic Corpus of Hesitation Phenomena . As an active member of ISCA, IEEE, and EUROCALL, he contributes to shaping ethical standards in AI speech applications while maintaining strong industry connections through regular media appearances and conference keynotes.