Find Academic Supervisors

François LareauView profile

Professor

• Computational Lexicology
• Multilingual Text Generation
• Collocations
• +4 more

Professeur agrégé at the Department of Linguistics and Translation, Faculty of Arts and Sciences, Université de Montréal. Specializes in computational lexicology, multilingual text generation, and semantic-syntax interfaces. Serves as Director of the Observatoire de linguistique Sens-Texte (OLST). Holds a Ph.D. from Université de Montréal and Université Paris, with postdoctoral research at Macquarie University (Sydney), Universitat Pompeu Fabra (Barcelona), and Universität Stuttgart (Germany). Education: Ph.D. in Linguistics, Université de Montréal and Université Paris, 2008 Research Interests: Lexical semantics and morphology Automatic text generation Collocation processing Meaning-Text Theory applications Polarized Unification Grammar Key Grants/Projects (selected): Le lexique entre humains et machines , FRQSC grant (2025-2030), leading a multidisciplinary team Automatic generation of lexicographic definitions , SSHRC grant (2018-2023) Twitter-MPhon , SSHRC grant (2021-2025) analyzing morphophonological variation via social media Advising: Supervised over 20 graduate students since 2013, focusing on multilingual generation, collocation modeling, and computational lexicography. Labs/Teams: Directs OLST and collaborates with international networks like MARQUIS for environmental text generation systems.

• Computational Terminology
• Natural Language Processing
• Corpus Linguistics
• +4 more

Patrick Drouin is a Professor and Department Director at the Université de Montréal , based in the Faculté des arts et des sciences and the Departement de linguistique et de traduction . His research focuses on computational terminology, corpus linguistics, and the automatic acquisition of specialized lexicons. He leads major projects like the NÉONUM initiative for monitoring Quebec French neology and the Lexique entre humains et machines team exploring human-machine lexical interactions. Teaching: He teaches advanced terminology (TRA-3455), localization workshops (TRA-6301), and directs programs in Linguistics and Translation at both undergraduate and graduate levels. Over 10 PhD and Master's students have been supervised by Drouin since 2007, focusing on topics like semantic shifts, terminological evolution, and corpus-based lexicography. Research Projects: Co-leads interdisciplinary teams funded by FRQSC and SSHRC, including studies on morphophonological variation via Twitter data, transdisciplinary vocabulary for primary education, and the historical analysis of terminology in translation studies. Key contributions include the SyllabO+ corpus and the QC-FR-Diac-V1 semantic shifts dataset. Grants: Secured over CAD 2M in funding for projects like Twitter-MPhon (2021–2025) and Lexiques nucléaires (2019–2025), emphasizing computational methods in linguistic research. Labs/Teams: Active in the Equipe SE (Lexical Studies) and collaborates with institutions like IRIC for biology-informatics interfaces. His work bridges theoretical linguistics with applied technologies for terminology management and language education.

• Corpus Linguistics
• Factuality
• Catalan Language
• +3 more

Ana Maria Fernandez Montraveta is an Associate Professor at the Autonomous University of Barcelona (UAB), specializing in English Philology and German Studies. She leads the Research Group in English Linguistics: Use and Acquisition in Multilingual Contexts (GReLA). Her academic career includes roles as a researcher and educator since 1987, with a focus on computational linguistics and language semantics. Education: She holds a Doctorate in Linguistics and Communication (UAB, 2000), a Master's in Computational Linguistics (UB, 1993), and a degree in Anglo-German Philology (UAB, 1987). She has taught at various levels, including high school and university. Research interests center on corpus linguistics, factuality, Catalan language phenomena, reciprocal verbs, and event structure analysis. Her work emphasizes empirical studies and computational methods. She has led major projects like the SENSEM lexical database initiative and the StratAPP educational app development. Her recent research explores factual value in verb periphrases and inter-annotator agreement in corpus analysis. Projects include linguistic resource standardization and gamification in academic skills training. She has supervised doctoral theses and contributed to over 68 publications. Her work bridges theoretical linguistics with applied computational methods.

Raquel Garrido AlhamaView profile

Assistant Professor

• Computational modelling of language learning
• Language acquisition
• Language evolution
• +7 more

Dr Raquel Garrido Alhama is an Assistant Professor of Artificial Intelligence for text and human interaction at the Institute for Logic, Language and Computation (ILLC) , University of Amsterdam. She also co-directs the /k/omputation and Language Lab and previously served as Assistant Professor at the Cognitive Science and Artificial Intelligence department of Tilburg University. She earned her PhD from the ILLC under the supervision of Jelle Zuidema, Remko Scha and Carel Ten Cate, with a dissertation entitled Computational Modelling of Artificial Language Learning . Prior post-doctoral positions include the Max Planck Institute for Psycholinguistics and the Basque Center on Cognition, Brain and Language. Research Interests: Computational modelling of language learning and evolution Language acquisition, word learning and sentence processing Neural-symbolic integration and connectionist architectures Visual and auditory word recognition, syntactic parsing and part-of-speech tagging In recent years her work has converged on validating developmental milestones—such as the onset of productive determiner–noun combinations—using large-scale child corpora and neural models. She also investigates how multi-agent referential games can lead to emergent compositional languages, moving from image to richer graph representations. Scientific Awards: Best Article Award (2019) from Psychonomic Bulletin & Review for the review on computational models of rule learning Best Poster Award (2015) at the International Conference on Cognitive Modeling Teaching & Supervision: Dr Alhama has designed and lectured courses on advanced programming for cognitive science, computational linguistics, linear algebra and language acquisition at Tilburg University, University of Amsterdam, Radboud University and the University of the Basque Country. She currently supervises eleven MSc and BSc students in AI, Logic and Cognitive Science. Labs & Teams: She is the founding co-director of the /k/omputation and Language Lab together with Phong Le, where they use Language Emergence frameworks to explore the cognitive prerequisites for displacement and compositionality in human language.

• Computational Linguistics
• Digital Humanities
• Historical Semantics
• +3 more

Antti Kanner is a Researcher at the Department of Digital Humanities, University of Helsinki. His work focuses on computational linguistics, historical semantics, and interdisciplinary digital humanities projects. He is affiliated with the Helsinki Computational History Group and has contributed to projects like 'Flows of Power' and 'Formulaic Intertextuality.' Kanner's research explores topics such as modal grammar in political discourse, naming conventions in historical texts, and the evolution of Finnish national identity through language. His awards include the August Ahlqvistin Väitöskirjapalkinto (2023) and the Open Science and Research Award (2016). He collaborates internationally, particularly in Slavic and Finno-Ugrian studies, and has published widely on corpus linguistics, media analysis, and historical text mining. Key Projects: Helsinki Computational History Group (2018–present), Retoriset Ryhmästrategiat (2022–2026) Major Contributions: Developed workflows integrating automated text analysis with close reading, analyzed naming patterns in medieval Novgorod, and studied affectivity in political journalism.

• Formal Concept Analysis
• Computational Linguistics
• Data Mining
• +3 more

Jaume Baixeries i Juvillà is a Professor in the Department of Computer Science at the Universitat Politècnica de Catalunya (UPC), affiliated with the Escola Politècnica Superior d'Enginyeria de Vilanova i la Geltrú (EPSEVG). He is a core member of the LQMC research group (Lingüística Quantitativa, Matemàtica i Computacional) and has been involved in over 70 academic activities since 2000. His work bridges formal concept analysis, computational linguistics, and data mining, with a focus on dependency structures, quantitative linguistics, and algorithmic methods. Affiliations: LQMC Group, Department of Computer Science (UPC), EPSEVG. Education: PhD in Computer Science (2005, UPC thesis on lattice representations of dependencies). His research interests include formal concept analysis (FCA), dependency modeling, computational linguistics, and applications in quantitative linguistics such as semantic analysis, polysemy studies, and bilingual aphasia analysis. His recent work explores semanticity measures, statistical learning, and clinical applications in language disorders. He has led or participated in projects funded by Spanish and Catalan research programs, including grants focusing on linguistic complexity and interdisciplinary data analysis. He actively contributes to conferences like Formal Concept Analysis (FCA) and International Quantitative Linguistics Conferences, serving on program committees. His publications span journals in computer science (e.g., International Journal of Approximate Reasoning ), linguistics ( Languages ), and interdisciplinary fields ( Computers in Biology and Medicine ). His work on dependency covers, FCA-based algorithms, and language universals (e.g., Zipf’s laws) demonstrates cross-disciplinary impact. Grants & Projects: Includes leadership in projects like ‘Lingüística Quantitativa, Matemàtica i Computacional’ and ‘Semàntica de les paraules del català: teoria i aplicacions clíniques,’ focusing on Catalan language studies and clinical applications. Collaborates with researchers in linguistics, computer science, and medicine. Labs/Teams: Co-leads the LQMC group, which integrates quantitative methods, formal mathematics, and computational tools to study language and data patterns.

Jabir Alshehabi Al-AniView profile

Lecturer

• Natural Language Processing
• Image Processing
• Artificial Intelligence
• +4 more

Jabir Alshehabi Al-Ani serves as a Lecturer in the Data Science department at York St John University's York Business School. With over 10 years of expertise in Machine Learning, AI, NLP, Data Retrieval, and Information Extraction across academic, research, and industry settings, he contributes significantly to the university's technical education programs. Dr. Alshehabi Al-Ani earned his PhD in computer science from the Department of Computer Science and Electronic Engineering at the University of Essex, UK. His academic foundation supports his current teaching responsibilities which include delivering lectures in Machine Learning and Practice in Interdisciplinary Problem Solving (PIIPS), building on seven years of prior teaching experience across numerous technical subjects. His research interests focus on Natural Language Processing, Image Processing, and interdisciplinary applications of AI in healthcare and sociology studies. This dual focus on technical AI development and social applications demonstrates his commitment to creating technology with real-world impact. His work bridges computer science with social sciences, particularly in analyzing gender bias in employment contexts and developing classification systems for diverse applications. Analysis of his publication record from 2017-2022 reveals a clear research trajectory evolving from technical computer vision and NLP methods toward more socially conscious applications of AI. His recent work emphasizes gender bias detection in job advertisements and interdisciplinary research management, reflecting growing interest in AI ethics and the societal implications of algorithmic systems. The publications span multiple venues including Frontiers Big Data, SocArXiv, and IEEE conferences, demonstrating both academic rigor and practical relevance. As a postgraduate research supervisor, Dr. Alshehabi Al-Ani contributes to the development of emerging scholars in data science and AI fields. His teaching spans foundational programming and database concepts to advanced machine learning and natural language processing topics, creating a comprehensive educational pathway for students. His research activities demonstrate strong interdisciplinary collaboration, particularly evident in his work on gender bias in job advertisements which involved researchers from multiple institutions across various disciplines. This collaborative approach extends to his contributions to parliamentary evidence submissions regarding diversity in STEM fields.

Philipp CimianoView profile

Professor

• Knowledge Representation
• Ontologies
• Knowledge-Based Natural Language Processing
• +6 more

Philipp Cimiano is a Professor at the Faculty of Engineering, Bielefeld University, and leads the Semantic Databases Group. He holds additional roles as Coordinator of the Cognitive Interaction Technology Center (CITEC) and Director of the Joint Artificial Intelligence Institute (JAII). His research focuses on the intersection of language, semantics, and knowledge representation, with applications in Explainable AI , Knowledge Graphs , and AI in Medicine . Education: University of Stuttgart, University of South Australia, Karlsruhe Institute of Technology (KIT) Key Research Areas: Knowledge Representation, Ontologies, Explainable AI, Clinical Decision Support His recent work emphasizes dialogue-based XAI , federated learning , and semantic data integration . He has secured funding from the German Research Foundation (DFG) and the European Union for projects like TRR 318 "Constructing Explainability" and Pret-a-LLOD. Scientific Awards Carl Adam Petrie Prize, KIT Faculty of Business and Economics Editorial Roles Co-editor, Journal of Applied Ontology Area Editor, Semantic Web Journal Editorial Board, Journal of Web Semantics Notable Projects TRR 318 (Subprojects B01, C05, INF) 3B: Bots Building Bridges for online deliberation LLM4KMU: Open Source LLMs for SMEs

Thomas PellardView profile

Researcher

• Historical Linguistics
• Comparative Linguistics
• Ryukyuan Languages
• +4 more

Thomas Pellard is a Research Officer at the Centre National de la Recherche Scientifique (CNRS), affiliated with the Center for Linguistic Research on East Asia (CRLAO), a joint research unit of CNRS, EHESS, and INALCO. His professional address is CRLAO, INALCO, 2 rue de Lille, 75007 Paris. Dr. Pellard specializes in historical and comparative linguistics of Ryukyuan languages and Japanese. His research spans descriptive linguistics of endangered languages, computational approaches to linguistic analysis, and methodological critiques of language family proposals. He has made significant contributions to understanding Japanese dialects, particularly regarding rendaku (sequential voicing) patterns, accent systems, and the historical development of Japonic languages. His scholarly work demonstrates strong interdisciplinary connections between linguistics, archaeology, and genetics, while maintaining rigorous methodological standards in historical-comparative work. Recent publications reveal increasing integration of spatial statistics and computational tools in linguistic analysis, particularly for documenting endangered languages. Pellard has co-organized significant academic events including the 38th Paris Meeting on East Asian Linguistics and the Phon-udl workshop on phonetic approaches to under-endowed languages. His research notebook at cipanglo.hypotheses.org serves as a platform for sharing thoughts on languages and linguistics, particularly focused on Japanese languages. His academic collaborations span multiple institutions and countries, with frequent co-authorship with researchers from Japanese universities and international colleagues working on East Asian linguistics, computational methods, and language evolution.

Mª Angeles Solano RodriguezView profile

Researcher

• Phraseology
• Paremiology
• Translation Studies
• +7 more

Mª Angeles Solano Rodriguez is a researcher at the University of Murcia's Department of Language and Literature Teaching. Her work focuses on phraseology, paremiology, and translation studies with a strong emphasis on foreign language pedagogy. PhD in French Phraseology Member of the 'Phraseology, Paremiology and Translation' research group Previously part of 'Fonología y Lectura' research team Her research combines phraseological analysis with didactic strategies to enhance language acquisition. Key areas include: Pragmatic phraseological units Metacognitive learning frameworks Task-based language teaching Translation of literary idiomatic expressions Contrastive phraseology between languages Recent publications analyze phraseological patterns in Daniel Pennac's works, pragmatic markers in foreign language classrooms, and integrated phraseology projects for Spanish teaching. Her methodology emphasizes cognitive-emotional intersections in language learning and digital resource utilization for phraseological instruction.

• Turkish Language Education
• Educational Technology
• Augmented Reality in Education
• +3 more

Assoc. Prof. Bilal Şimşek is an active faculty member at Akdeniz University's Faculty of Education, Department of Turkish Language Education, where he has served as a Research Assistant since 2015. His academic career focuses on the intersection of Turkish language education and emerging technologies, particularly augmented and virtual reality applications in educational settings. His educational background includes: Doctorate (2018-2022): Akdeniz University, Institute of Educational Sciences, Turkish and Social Sciences Education Postgraduate (2015-2018): Akdeniz University, Institute of Educational Sciences, Turkish Language Education Undergraduate (2012-2015): Anadolu University, Faculty of Open Education, Turkish Language and Literature Undergraduate (2010-2014): Necmettin Erbakan University, Faculty of Education, Turkish Teaching Şimşek's research primarily investigates how technology-enhanced learning environments impact language acquisition, reading comprehension, and writing skills. His work demonstrates particular expertise in augmented reality applications for storybooks and vocabulary development, with significant contributions to understanding how digital and traditional reading mediums affect cognitive processing. His research methodology frequently employs comparative studies examining both quantitative metrics (citation counts, H-indices across multiple databases) and qualitative classroom observations. His scholarly output shows consistent growth with 64 publications indexed in Web of Science, demonstrating strong international recognition. The publication trend reveals increasing focus on immersive technologies in language education, with recent works exploring virtual reality's impact on story retelling performance and the temporal effects of augmented reality experiences on cognitive load. Among his notable recognitions is the TUBITAK Domestic Doctoral Scholarship (2211) awarded from 2018-2022. His research has been supported through multiple funded projects including EU-supported initiatives like 'Mapping Teacher Training in Europe' and institutional projects documenting regional dialects in Antalya province. As an academic advisor, he currently supervises postgraduate research, most recently guiding B.ACAR's 2025 thesis on metacognitive writing strategies and writing anxiety. His teaching portfolio spans both undergraduate and postgraduate levels, covering courses in academic writing for Turkish education, augmented/virtual reality applications, reading education, Turkish language, and cultural geography.

• Slavic Linguistics
• Ukrainian Language Processing
• Digital Humanities
• +3 more

Saint-Joanis Olena is a Lecturer at INALCO's Department of Slavic Languages and Literature, specializing in Ukrainian language processing and pedagogy. She coordinates the Erasmus+ project EUkraine Forum and co-organizes the Rencontres des linguistes du CREE conference. Her work involves developing online pedagogical tools for Ukrainian through the Erasmus+ Lesser-Used Languages Classroom project. Her research focuses on formalizing Ukrainian language structures within the NooJ framework, including verb aspect relations, morphological grammars, and language variant formalization. She has presented at multiple international NooJ conferences and TALN-RECITAL, with publications in edited volumes and conference proceedings. She teaches Ukrainian language courses at all undergraduate and master's levels, including written practice, grammar exercises, and media language, while also developing continuing education programs. Her technical contributions include Ukrainian dictionary creation and disambiguation grammar implementations for NLP applications.

Šmilauer IvanView profile

Senior Lecturer

• Czech Language and Linguistics
• Natural Language Processing
• Teaching Czech as a Foreign Language
• +5 more

Ivan Šmilauer is a Senior Lecturer in Czech Language and Linguistics at the Institut national des langues et civilisations orientales (Inalco) in Paris. He is affiliated with the PLIDAM research center and serves as co-responsible for axis 5 of PLIDAM focused on "Development and practice of digital tools for language and culture teaching and learning." Previously, he served as vice-president of Inalco and digital delegate (2019-2024). Šmilauer completed his PhD thesis titled "Acquisition du tchèque par les francophones : analyse automatique des erreurs de déclinaison" (Acquisition of Czech by French speakers: automatic analysis of declension errors) under the direction of Patrice Pognan at INALCO and Eva Hajičová at Charles University in Prague. His thesis was defended in Paris on November 29, 2008 with congratulations from the jury. His primary research interests span Czech language and linguistics, natural language processing, teaching Czech as a foreign language, modeling of Czech morphology acquisition, and error analysis. Šmilauer has pioneered the development of digital tools for language learning, particularly focusing on Czech grammar instruction. His work bridges theoretical linguistics with practical applications in language education, emphasizing how computational approaches can enhance language acquisition. Šmilauer's scholarly output demonstrates a consistent focus on the intersection of language technology and pedagogy. His publications reveal evolving trends from theoretical linguistic analysis toward practical applications in digital language learning environments. He has made significant contributions to understanding error patterns in Czech language acquisition, particularly in declension systems, and has translated this research into practical teaching tools. As an educator, Šmilauer teaches Czech grammar courses at various levels (L1-L3) in the LLCER ("Langues, littératures et civilisations étrangères et régionales") program with a Czech specialization, as well as advanced Czech language practice in the Master's program "Langues, cultures et sociétés du monde" with a European-Eurasian track. Šmilauer has developed several important pedagogical resources, most notably the CETLEF platform - a web application providing Czech declension exercises with automatic error diagnosis, available since 2008 with over 800 registered users. He also coordinated the Czech team for the MOOC "Kit de contact en langues" project (2015-2017) and developed the CETLEF-Slovak platform for Slovak declension. He has organized numerous academic events, including co-organizing the "Journées AHFLO'" in 2023, the "BOOTCAMP n°#9" of VPNUM in 2022, and the "Journée de la pédagogie numérique à l'Inalco" (JPNI2020) in 2020. Since 2009, he has co-organized the "Informels linguistiques" seminar at Inalco with Olivier Bondeelle and Nicolas Aubry.

Mojca PecmanView profile

Professor

• Transdisciplinary Phraseology
• General Scientific Language
• Terminological Variation
• +9 more

Mojca Pecman is a Professor of English Linguistics at the University of Paris Cité and Director of ALTAE (unité de recherche en traductologie et en linguistique appliquée) since 2025. Her academic career spans over two decades, including a Lecturer role in English Linguistics (2006–2021) at the same institution. She holds a Doctoral Thesis in Language Sciences (2004) and an Habilitation à Diriger les Recherches (2017), both from prestigious French universities. Education: Habilitation to Direct Research (HDR), 2017, University of Paris Cité PhD in Language Sciences, 2004, University of Côte d’Azur Research Interests focus on transdisciplinary phraseology , terminological variation , and specialized translation . Her work bridges scientific discourse analysis with machine translation , emphasizing lexico-discursive energy and terminological packing/unpacking . She has co-edited major publications on digital corpora and specialized language processing . Projects include leading the ARTES initiative (2010–present) and co-leading OCTAVES (2021–present). Past collaborations include SPECTRANS (2021–2022), MUST (2019–2022), and YourTerm Medical (2018–2019), alongside international partnerships with institutions in Slovenia, Croatia, and Spain. Her work often involves building terminological resources and training specialized translators . Scientific Awards Prix du Mémoire de Master 2 de Linguistique Appliquée, 2024, by Association française de Linguistique Appliquée (AFLA) Advising spans dozens of theses and master’s theses in fields like terminological variation , specialized translation , and interdisciplinary discourse analysis . She has mentored students across diverse topics such as eco-responsible corporate discourse , medical terminology , and environmental performance studies .

Ludmila PöppelView profile

Professor

• Discourse Analysis
• Lexical Semantics
• Lexicography
• +4 more

Ludmila Pöppel is a Professor at Stockholm University , affiliated with the Department of Slavic and Baltic Languages, Finnish, Dutch and German . Her research focuses on discourse analysis , lexical semantics , phraseology , and corpus linguistics , often intersecting with political discourse and construction grammar . Research Themes: Analyzing near-synonyms in Russian (e.g., беспорядки vs. волнения), combinatorial properties of words, and semantic shifts in political terminology like революция (revolution) vs. переворот (coup). Key Projects: Leadership in the TELICORE collaboration between Stockholm University, Higher School of Economics (Russia), and Ilia State University (Georgia), and contributions to the Russian-Swedish dictionary database for discursive units. Publications: Her work spans corpus-driven studies of Russian constructions (e.g., дело в том, что, то-то и N), their cross-linguistic parallels, and the pragmatic functions of focus particles. She emphasizes empirical data from Sketch Engine and the Russian National Corpus to identify language-specific features. Advising: Supervises doctoral students and numerous undergraduate and master's theses, integrating her research on political discourse into teaching at all levels, including courses on corpus linguistics and lexical semantics . Labs/Networks: Member of the Language and Power Network , analyzing how language shapes political narratives in polarized climates.