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Anna ArpaiaView profile

Lecturer

• Roman Egypt
• Late Antique Legislation
• Papyrology
• +4 more

Dr. Anna Arpaia serves as Lecturer in Roman History at the University of Heidelberg since 2022, with concurrent Post-Doc Researcher appointments at the University of Warsaw (2022-2025) for the NCN Project "Temple of Justice" and the ongoing "Asyut-ancient centre of trade" project. Affiliated with the Department of History within the Faculty of Humanities at the University of Tübingen, she maintains active research collaborations with Freie Universität Berlin and the University of Pavia. Her research specializes in Roman Egypt's land property systems during the Early Imperial period and late antique legislation, with particular focus on the 6th-century "Littera Florentina" manuscript and unpublished archaeological materials from Asyut (ancient Lykopolis). Current projects include the edition of amphorae dipinti from Assiut and analysis of textile production in Byzantine-era Lykopolis. Dr. Arpaia's scholarly output demonstrates consistent interdisciplinary engagement across papyrology, legal history, and material culture studies, with recent publications examining Senecan landholdings in Egypt, Byzantine textile terminology, and Roman notarial practices. Her work frequently integrates archaeological evidence with textual analysis to reconstruct economic and administrative systems. DAAD Stipendium (2017, Heidelberg) DAAD Stipendium (2016, Cologne) She actively collaborates on international research initiatives including the German-Polish Asyut Project and ERC-funded Redhis project, advising on papyrological and epigraphic materials. Her laboratory work focuses on archaeological documentation from German-Polish excavations in Asyut, with emphasis on tituli picti and administrative records.

• Syntax
• Morphosyntax
• Syntactic Variations
• +5 more

Juliette THUILIER is a Lecturer in the Department of Language Sciences at Toulouse Jean Jaurès University (UT2J), where she maintains offices at both the CLLE-ERSS Research House (B505) and the UFR LLCE (LA375). She is an active member of the LL (Languages and Language) team within the CLLE Laboratory (Cognition, Languages, Ergonomics). Her research focuses on syntax and morphosyntax, with particular attention to syntactic variations, phenomena of syntactic alternation, and corpus data in syntax (especially oral corpora). THUILIER employs quantitative and experimental approaches to investigate linguistic phenomena, frequently examining word order patterns in French including adjective placement and postverbal complement ordering. Her recent publications reveal a strong methodological trend combining corpus analysis with experimental techniques such as acceptability judgment tasks and sentence production experiments. Her work spans theoretical syntax, experimental linguistics, and quantitative approaches, often investigating how factors like animacy, semantic roles, prototypicality, and dependency length influence syntactic choices. While primarily focused on French, her research also includes cross-linguistic comparisons, such as her work comparing French and Serbian adjective placement. THUILIER teaches across multiple academic levels: L1 Diversity of languages, L2 Syntax of the simple sentence, L3 Syntax of the complex sentence, L3 Theoretical syntax, L3 Lexical morphology, Master Experimental syntax, and Master Prosody and syntax/prosody interface. She is deeply integrated with the CLLE Laboratory, contributing to research on language cognition and ergonomics through numerous collaborations with researchers across various institutions. Her work demonstrates a commitment to bridging theoretical syntax with empirical data collection methods, providing valuable insights into syntactic variation and the cognitive processes underlying language production.

• Morphology
• Computational Linguistics
• Semantics
• +5 more

Nabil Hathout is a Research Director at CLLE (Cognition, Languages, Language, Ergonomics), a research unit affiliated with University of Toulouse-Jean Jaurès, CNRS, and other French academic institutions. His work bridges theoretical linguistics with computational approaches, focusing primarily on morphological structure and semantics. Hathout's research centers on derivational morphology, particularly in French, with significant contributions to morphosemantic modeling. His work explores how morphological structure relates to meaning through distributional semantics, computational modeling, and lexical resource development. He has pioneered several important linguistic resources including Démonette, a comprehensive derivational database for French, and ParaDis, a paradigm-based model for morphological organization. His research also extends to word formation processes, morphological predictability, and the computational modeling of morphological paradigms. Analysis of his recent publications reveals a strong focus on developing computational models for derivational morphology, with particular attention to French language phenomena. His work increasingly integrates machine learning approaches with traditional linguistic analysis, especially in the areas of distributional semantics and morphological processing. The Démonette database serves as a cornerstone for many of his research projects, enabling both theoretical investigations and practical applications in language education and processing. Hathout has been actively involved in collaborative research across multiple institutions and has contributed significantly to the development of linguistic resources and methodologies in computational morphology. His work demonstrates consistent engagement with both theoretical linguistic questions and practical computational implementations.

Harald BaayenView profile

Professor

• Computational Linguistics
• Psycholinguistics
• Morphological Productivity
• +7 more

Harald Baayen is a Professor at the University of Tübingen within its Faculty of Humanities, Department of Linguistics . His work spans computational linguistics, psycholinguistics, and phonetics, with a focus on discriminative learning models for lexical processing. After studying under Geert Booij in Amsterdam (PhD 1989), he held positions at the Max Planck Institute for Psycholinguistics (1990-1998), Radboud University (Associate Professor via Dutch Science Foundation award), and the University of Alberta (Full Professor 2007-2011). His 2011 Alexander von Humboldt Award and 2025 Honorary Doctorate from Tartu reflect his scholarly impact. Education: PhD in General Linguistics (Amsterdam, 1989) Awards: Alexander von Humboldt (2011), Dutch Science Foundation Career Advancement (1998) Teaching: Courses in Linguistics for Cognitive Science and Statistical Methods since 2011 at Tübingen Research Synthesis Baayen's research bridges computational modeling and empirical phonetics . Notable projects include: Linear Discriminative Learning (2019): A unified framework for morphological processing without morphemes Articulatory Phonetics : Using EMA and ultrasound to study dialect variation and articulation practice effects Statistical Methods : Pioneering generalized additive models and quantile regression in psycholinguistic analysis His 2025 publications explore Mandarin-English semantic differences , Ukrainian grammatical number , and deep learning alternatives to discriminative frameworks. His work consistently challenges traditional morphological theories by integrating discriminative learning with real-world phonetic data .

Carlos RamischView profile

Assistant Professor

• Computational Linguistics
• Natural Language Processing (NLP)
• Multiword Expressions (MWEs)
• +15 more

Carlos Ramisch is an Assistant Professor in Computer Science at Aix Marseille University, France, affiliated with the TALEP research group at LIS (Laboratoire d'Informatique et Systèmes). His work centers on computational linguistics and natural language processing, with a primary focus on multiword expressions (MWEs), language models, and semantic analysis. He actively contributes to the PARSEME community, organizing shared tasks on verbal MWE identification. His research includes developing the mwetoolkit for MWE discovery and SLICE for interpretable contextual embeddings. He has led funded projects such as SELEXINI (2022-2026) and PARSEME-FR (2016-2021). His methodological innovations span cross-lingual dependency parsing via typological features (NAACL 2019), compositionality prediction for nominal compounds (Computational Linguistics 2022), and lexical substitution datasets (IWCS 2017). He supervises students in NLP internships and co-authored the educational comic strip La grande aventure du TAL . His editorial roles include the LSP series on Phraseology and MWEs, and he has chaired multiple MWE workshops (2010-2022).

• Turkology
• Turkish Language Education
• Teaching Turkish as a Foreign Language
• +4 more

Prof. Dr. Hayrullah Kahya is a full-time faculty member at the Faculty of Education, Yildiz Technical University , where he has served since 2011. Appointed as an Assistant Professor in 2011, he was promoted to Associate Professor in 2018 and Professor in 2023. He conducted research at Indiana University Bloomington (2014–2015) under a TÜBİTAK scholarship and has coordinated the Erasmus Program for his department from 2015–2024. He is the founder and editor-in-chief of the IBAD Journal of Social Sciences (since 2016). Education : PhD in Turkish Language Education (Marmara University, 2010) Academic Roles : Assistant Professor (2011), Associate Professor (2018), Professor (2023) International Collaboration : Visiting Scholar at Indiana University (2014–2015) His research focuses on Turkology , Turkish Language Education , and Teaching Turkish as a Foreign Language . His work includes discourse analysis of Ottoman Turkish children’s literature, migration studies through Turkmen genealogy texts like Shajara-i Tarākima , and adaptation of Turkish literature for special education (e.g., Braille versions for visually impaired learners). He has explored syntax flexibility in Turkish, historical media (e.g., Angeliaforos Çocuklar İçün ), and cultural integration through language teaching methods. His publications include two books and numerous articles in SSCI (Q1) , AHCI (Q1) , and Scopus databases. Key projects involve the Uyum Çocuk (Harmonization Child) platform , addressing social sustainability through migrant integration, and critical editions of historical Turkic texts like Mûnisû’l-Uşşâk and Firdavsu’l-İkbal . His editorial work on the IBAD Journal of Social Sciences highlights his commitment to academic dissemination.

• Computer Science
• Artificial Intelligence
• Computational Linguistics
• +7 more

Dr. Katerina Zdravkova is a Professor at the Institute of Informatics within the Faculty of Natural Sciences and Mathematics at Ss. Cyril and Methodius University in Skopje. With a Ph.D. in Computer Science and extensive international experience, she has held academic roles since 1989 and authored 4 international journal papers, 2 domestic papers, and 34 conference proceedings. Her work spans e-learning , machine translation , and software engineering , with a focus on Macedonian language technologies. Education : B.Sc. in Mathematics and Informatics (1983), M.Sc. in Computer Engineering (1988), Ph.D. in Artificial Intelligence (1993). Teaching : Delivered 15 undergraduate and graduate courses in informatics, computational linguistics, and software engineering. Research Interests include neural networks for language processing, computational linguistics for Macedonian morphology, and educational technology for cross-border course development. She pioneered machine translation systems and language resource annotation , integrating Web 2.0 into ethics education. Scientific Awards : Special IEEE Award for Exceptional Contribution Projects coordinated include UNESCO IITE initiatives, DAAD collaborations, Tempus curricula, and NATO research on trust management systems. She serves as a reviewer for international ministries and journals and as a program committee member in four conferences.

• Speech Signal Processing
• Machine Learning
• Natural Language Processing
• +3 more

Gražina Korvel is a Professor and Senior Researcher at the Image and Signal Analysis Group of Vilnius University's Faculty of Mathematics and Informatics. Her work bridges speech signal processing , machine learning , and natural language processing , with a focus on applications like noise profiling , Lombard effect modeling , and propaganda detection . She leads projects such as the HUMAN-INSPIRED SPEECH ENHANCEMENT (2024–2027) and CLINICAL NLP FOR RECORDS (2024). Education : Doctor of Science in Computer Engineering (2013, Vilnius University), Master’s in Computer Science (2009, Vilnius Pedagogical University), Bachelor’s in Mathematics (2007, Vilnius Pedagogical University). Her research interests include speech enhancement , deep learning for audio analysis , and cross-linguistic emotion recognition . Recent work explores fake news detection , synthetic speech , and Lithuanian language modeling . From 2020–2024, she taught Natural Language Processing at Vilnius University. She has held visiting research roles at Gdańsk University of Technology and International Hellenic University, and serves on editorial boards for Journal of Intelligent Information Systems and Informatica .

Brigitte StankéView profile

Associate Professor

• Educational Psychology
• Special Education
• Literacy Development
• +3 more

Brigitte Stanké is an Associate Professor at the School of Speech-Language Pathology and Audiology, University of Montreal, specializing in literacy development and learning disorders. With dual doctorates in Biomedical Sciences and extensive training in speech therapy, audiology, and statistical mathematics, she bridges neurological, linguistic, and quantitative perspectives. Doctorate in Biomedical Sciences, University of Montreal Master's & Bachelor's in Speech Therapy & Audiology Bachelor of Science & Master's in Statistical Mathematics Her research focuses on reading/spelling disorders (dyslexia, dysorthography), universal pedagogy frameworks, assistive technologies for writing, and dyscalculia. She develops tools like ÉQOL (Quebec Lexical Spelling Scale) and investigates errorless learning models. Recent publications emphasize: Universal Design for Learning (UDL) implementation Lexical spelling acquisition through graphotactic/morphological instruction Assistive technology impacts on writing self-efficacy and anxiety reduction Longitudinal studies on orthographic development She has created pedagogical software (e.g., Madame Mo) and practical resources (e.g., The Wise Apprentice: Learning to Read and Spell ). Her work informs both clinical practice and inclusive education policies.

Monika Fritz-ScheupleinView profile

Researcher

• Dialectology
• German Dialects
• Phonetics
• +4 more

Dr. Monika Fritz-Scheuplein is a full-time Researcher at the University of Würzburg , affiliated with the Institute of German Philology . She serves as the team leader of the Lower Franconian Dialect Institute (UDI), focusing on dialect preservation and research in Lower Franconia. Her career at the university spans over three decades, including roles as a scientific collaborator and dialectology expert since 1991. Education PhD (2000) : Universität Würzburg. Dissertation: "Geteilter Dialekt? Untersuchungen zur gegenwärtigen Dialektsituation im ehemaligen deutsch-deutschen Grenzgebiet." Magister Artium (1990) : Universität Würzburg. Thesis: "Jugendsprachlicher Wortschatz in Unterfranken. Eine empirische Untersuchung." Research Focus Fritz-Scheuplein specializes in the dialectology of Lower Franconia, with emphasis on dialect lexicography, phonetics, sociolinguistics, and cultural onomastics. Her work includes documenting dialectal variations, analyzing place nicknames, and promoting dialect awareness in educational contexts. Key research areas: Dialect dictionaries and digital archiving (e.g., Bayerische Dialektdatenbank) Dialect syntax and phonology in transitional regions Public engagement through projects like "Fränki" (student dialect research) Cultural studies of dialects in media, humor, and folklore Her recent publications (2015–2018) explore trends in regional linguistics, including dialect usage in social media, syntactic variations across German borders, and the role of dialects in identity formation. Articles frequently integrate computational methods for dialect data analysis and public dissemination. Grants & Advising No specific grants, awards, or supervised students are mentioned in the source material. Labs & Teams She leads the Lower Franconian Dialect Institute (UDI) , managing dialect research, public outreach, and educational initiatives. Collaborates with regional institutions to document and promote Bavarian dialects.

• Malevolent Creativity
• Dark Traits and Psychopathology
• Emotion Regulation
• +3 more

Perchtold-Stefan Corinna is an Associate Professor at the Institute of Psychology, Faculty of Natural Sciences, University of Graz. She investigates the interplay between creativity, psychopathology, and cognitive-affective mechanisms using EEG/fMRI methodologies. Research areas: Malevolent creativity, dark traits, emotion regulation, neurocognitive pathways Affiliations: Member of 'Complexity of Life' profile area and 'Brain and Behavior' research network Her research reveals connections between physical activity and creativity, interoceptive brain signatures, and gender-specific neurocognitive strategies. Recent work examines organizational power dynamics, true crime fascination, and creativity in sports contexts. Scientific Awards : 2025 Josef Krainer Appreciation Award in Psychology 2024 Best Speaker Award (Marconi Institute of Creativity) 2019 Women's Prize of Faculty of Natural Sciences Graz She contributes to understanding creativity's dual nature through empirical studies involving neuroimaging, ambulatory monitoring, and comparative analyses across diverse populations.

• Language Processing
• Bilingualism
• Computational Cognitive Modeling
• +9 more

Walter van Heuven is an Associate Professor at the School of Psychology, University of Nottingham. His research focuses on monolingual and bilingual language processing , combining behavioral experiments (reaction times, eye-tracking), neuroimaging (ERP, fMRI), and computational cognitive modeling . Key interests include visual word recognition, bilingual brain mechanisms, translation activation, non-native speech perception, and executive control-language interactions. Research Themes : Cross-language activation and inhibition in bilinguals Orthographic/phonological processing in multilinguals Computational modeling of lexical decision tasks Neural correlates of translation priming Software Development : Created R packages strngram , strsim for psycholinguistic string similarity analysis Maintains jIAM browser-based models for BIA His recent publications (2017-2018) explore masked priming , multi-word expression processing , and cross-language neighborhood effects , with methodological innovations in statistical analysis and neuroimaging. He contributes to teaching modules like Computational Cognitive Psychology and Cognition in the Real World .

• Linguistic contact dynamics
• Linguistic landscapes
• Orthographic systems and cultural identity
• +2 more

Federica Guerini is a Professor in the Department of Letters, Philosophy, and Communication at the University of Bergamo since 2024. Her academic career began with a PhD in Linguistics from the University of Pavia in 2004, followed by recognition through the 9th International Prize for Studies on Plurilingualism in 2005. Her research focuses on: Language contact dynamics among Ghanaian immigrants in Bergamo Linguistic landscapes as cultural indicators Orthographic choices and identity expression Interaction between Italian and Italo-Romance dialects Toponymic and anthroponymic analysis Recent publications explore modal particles in Romance languages, dialectal word classes, and comparative syntactic structures across Italian regions. She has been actively involved in editing and publishing critical editions of historical dialectological works. Scientific Awards: 9th International Competition and Prize for Studies on Plurilingualism (2005)

Roberto BasiliView profile

Associate Professor

• Natural Language Processing
• Machine Learning
• Knowledge Representation
• +5 more

Roberto Basili is an Associate Professor in the Department of Computer Science at the University of Roma, Tor Vergata, where he has been a member of the Artificial Intelligence group (ART) since 1991. His academic appointments span both the Faculty of Engineering and the Department of Linguistics, reflecting his interdisciplinary approach to natural language processing and computational linguistics. Professor Basili's research focuses on Natural Language Processing, Machine Learning, Knowledge Representation, and their applications in Information Retrieval and the Semantic Web. His work particularly emphasizes semantic tagging, word sense disambiguation, ontology engineering, and music genre categorization. He leads the ART (Artificial Agent @ Roma Tor Vergata) research group, which develops frameworks for language-driven ontology learning and question answering systems. His publication record shows consistent contributions from the early 1990s through 2006, with recent work emphasizing kernel methods for semantic role labeling, ontology-driven information retrieval, and hierarchical semantic analysis. The research trends indicate a progression from foundational work in lexical acquisition and parsing toward more sophisticated semantic analysis and ontology integration, reflecting the evolution of the NLP field itself. Professor Basili has secured significant research funding through multiple EU Framework Program projects including PrestoSpace (FP6), FF-Poirot (FP5), and MOSES (FP5), as well as NSF grants and Italian national research initiatives (PRIN). These projects demonstrate his ability to lead large-scale collaborative research efforts addressing both theoretical challenges and practical applications in language technology. His teaching responsibilities include courses on Distributed Databases and Information Retrieval, Database Systems, Fundamentals of Programming in the Faculty of Engineering, and Trattamento Automatico delle Lingue (Natural Language Processing) in the Department of Linguistics. This dual appointment underscores his bridging of computer science and linguistic approaches to language processing.

• Japanese Language Education
• Linguistics
• Second Language Acquisition
• +3 more

Yuko Miyoshi serves as Associate Professor (non-tenure-track) at the Center for Japanese Language with sub-affiliation at the Global Education Center, teaching Japanese language and linguistics courses for international students including Comprehensive Japanese, Grammar, and Lexical Networks programs across multiple semesters. Her research pioneers verb-centric Japanese pedagogy , focusing on how verb semantics dictate syntactic structures. Key contributions include the Don Doubu Don database for mapping verb usage patterns and experimental validation of syntax-pattern teaching methods . She investigates vocabulary acquisition through collocations and develops problem-based exercises for 'thinking vocabulary learning' that significantly reduce grammatical errors. Professor Miyoshi's work bridges theoretical linguistics and practical classroom application through rigorous experimental studies. Her current projects measure familiarity of ambiguous verb usages, refine syntactic pattern instruction, and expand database resources—all aimed at enhancing grammatical accuracy for Japanese language learners through evidence-based methodologies.