Find Academic Supervisors

• English for Academic Purposes (EAP)
• Corpus Linguistics
• Academic Writing
• +5 more

Hilary Nesi is a Professor in English Language at Coventry University's Research Centre for Arts, Memory and Communities . Her work focuses on English for Academic Purposes (EAP), corpus linguistics, and dictionary design. She has led major projects such as the creation of the British Academic Spoken English (BASE) and British Academic Written English (BAWE) corpora. Doctorate from Swansea University (1994) MSc from Aston University (1984) Postgraduate Certificate from University of London (1995) BA from University of Leicester (1975) Hilary investigates academic discourse across genres, disciplines, and global contexts. Her research explores dictionary usage, ESP pedagogy, and corpus-based feedback systems. Recent work examines English-medium education in China and lexicological shifts in digital communication. Key projects include English-medium science lectures in northeast China (2023) and BAWE corpus development. She collaborates with institutions worldwide and contributes to policy through roles like British Council Academic Writing trainer and ESRC Peer Review College member. Hilary actively disseminates research through invited talks (e.g., “The death of the dictionary?” , 2024) and publications in journals like Register Studies and Iberica . Her work bridges theoretical linguistics with practical applications for educators and learners.

Nathan SandersView profile

Associate Professor

• Historical Linguistics
• Phonetics
• Phonology
• +6 more

Nathan Sanders is an Associate Professor in the Department of Linguistics at the University of Toronto, Faculty of Arts & Science. His research focuses on linguistics pedagogy, phonetics, phonology, and historical linguistics, with an emphasis on equity, diversity, and inclusion in education. He holds a PhD in Linguistics from the University of California, Santa Cruz (2003) and an SB in Mathematics from MIT (1996). Key contributions include the Essentials of Linguistics textbook (2022), the Linguistics Equity, Diversity, and Inclusion Repository (LEDIR), and foundational work on constructed languages and sign language biomechanics. He leads projects like the SSHRC-funded 'Message-Oriented Phonology: Canadian ASL' and designs educational tools like the Teri mascot for linguistics. Teaching spans courses in phonetics, historical linguistics, and pedagogical praxis. His research addresses linguistic injustice, gamification in education, and interdisciplinary approaches to language study. Recent work explores writing assessment fairness, inclusive example sentence databases, and phonological modeling tools like Phonogenesis .

Johann-Mattis ListView profile

Professor

• Computational Linguistics
• Historical Linguistics
• Language Evolution
• +3 more

Johann-Mattis List is a Full Professor leading the Chair of Multilingual Computational Linguistics at the University of Passau, and a Senior Scientist at the Max Planck Institute for Evolutionary Anthropology (2021-2024). His research bridges bioinformatics and linguistics through quantitative approaches to language evolution and historical comparison. His research program develops computational methods for: Phylogenetic reconstruction of language families Cross-linguistic semantic analysis (colexification patterns) Automated detection of lexical borrowing Sound correspondence modeling Database development for linguistic typology Recent publications (2019-2025) demonstrate strong focus on: Large-scale lexical databases (Lexibank, CLICS) Automated phonological reconstruction Cognate detection algorithms Semantic change quantification South American and Sino-Tibetan language histories Methodologically, they combine phylogenetic modeling, information theory, and machine learning with traditional historical linguistics. He leads the CALC/MCL laboratory developing open-source tools like EDICTOR and CLDFBench. Current projects include computational analysis of numeral systems, sign language evolution, and refinement of reflex prediction models.

Samira OchsView profile

Researcher

• Gender Linguistics
• Queer Linguistics
• Corpus Linguistics
• +4 more

Samira Ochs is a Researcher and doctoral student at the Leibniz Institute for the German Language (IDS) in Mannheim, focusing on Gender and Queer Linguistics. She holds an MA in Linguistics from the University of Freiburg (2022) and a BA in Applied Intercultural Linguistics from the University of Augsburg (2017). Her roles include Research Assistant in the Empirical Gender Linguistics project and the third-party funded GENELLI initiative. She is also a member of the DFG Queerlinguistics Network (since 2025) and the IDS's MAus Committee . Her research interests revolve around Gender Linguistics, Queer Linguistics, Corpus Linguistics, Empirical Methods, Word Formation, and Typology. She has organized events like the GAL Research School (2023) and contributed to projects such as the Queer Corpus (QK) and Leipzig Corpus analysis. She has conducted studies on gender-inclusive language in political and corporate contexts, lexical innovations in German, and historical discourse. Her recent work explores sociolinguistic shifts in parliamentary language, gender symbols in public texts, and the impact of social norms on linguistic change. She collaborates internationally, including with Moscow's linguistic institutions, and her contributions span academic journals and conference reports. Samira is actively involved in advancing open-access linguistic resources and advises on language-related public policy debates. She can be contacted at ochs@ids-mannheim.de .

Jan Oliver RüdigerView profile

Researcher

• Software Development for Digital Humanities
• Corpus Linguistics
• Computational Linguistics
• +6 more

Jan Oliver Rüdiger is a Researcher at the Leibniz Institute for the German Language (IDS) in Mannheim, Germany. Previously, he was a research assistant at the University of Siegen (2018–2020) and completed his doctoral studies at the University of Kassel in 2020. His primary focus is on software development for digital humanities, with expertise in corpus linguistics, computational methods, and natural language processing. PhD: University of Kassel (2020) Research Assistant: University of Siegen (2018–2020) His research interests include developing tools like CorpusExplorer and NeoRATE , which facilitate large-scale text analysis and neologism detection. He actively contributes to projects such as OWIDplusLIVE and the DiscourseBarometer , analyzing discourse dynamics and linguistic patterns in media and political contexts. Rüdiger has received the Lisa Lena Opas-Hänninen Young Scholar Prize (2016) and is a member of organizations like the European Association for Digital Humanities (EADH). His work bridges computational methods with empirical linguistic inquiry, emphasizing interdisciplinary collaboration and open-source software development.

• Norwegian Linguistics
• Second Language Acquisition
• Quantitative Methods in Language Research
• +3 more

Bård Uri Jensen is an Associate Professor of Norwegian Linguistics at the University of Inland Norway, affiliated with the Faculty of Teacher Education and Pedagogy and the Department of Nordic Languages and Literature. He holds a PhD from the University of Bergen (2017), an MA in Norwegian from the University of Oslo (2005), and a Computer Science degree from the University of Strathclyde (1987). His research focuses on the intersection of linguistics and quantitative methods, with particular interest in writing tools' impact on student texts, syntactic properties of second language learners, and multilingual aphasia. He has been a key contributor to the journal NOA: norsk som andrespråk as its editor since 2020 and serves on Norway's National Professional Body for Nordic Languages and Literature. His teaching spans linguistics in teacher education and master's programs, emphasizing Norwegian as a second language and quantitative methods in the humanities. Jensen's research highlights include a doctoral thesis examining how writing tools influence pupil writing, revealing gender-based differences in text spontaneity. He has also explored syntactic aspects of second language acquisition and language mixing in multilingual aphasia. Notable publications include studies on metaphor comprehension in second language learners, predictors of object naming in aphasia, and methodological challenges in second language research. His expertise extends to language policy roles, including membership in the Language Council's expert council for standardization (since 2022). He maintains a personal website with teaching and research resources and collaborates on projects like the Regnbuefyrtårn certification program for eldercare professionals. His work consistently bridges empirical linguistics with practical applications in education and healthcare.

• Natural Language Processing
• Computational Linguistics
• Machine Learning
• +3 more

Rob van der Goot is an Associate Professor in Data Science at the IT University of Copenhagen. His affiliations include the NLPnorth group and the Pattern Recognition Revisited lab . His research focuses on Natural Language Processing (NLP), with emphasis on language modeling, lexical normalization, and computational job market analysis. Key contributions include the development of the EEVEE annotation tool, studies on language model biases, and cross-lingual parsing techniques. He has received prestigious awards such as the Best Paper Award at W-NUT 2022 and the Outstanding Paper Award at EACL 2021 . His work spans projects like the Pioneer Centre for Artificial Intelligence (funded by the Danish National Research Foundation) and Multi-Task Sequence Labeling Under Adverse Conditions (funded by Amazon). His research also intersects with societal impacts, addressing bias in AI systems and improving NLP tools for under-resourced languages. Media engagements include discussions on AI adoption in Danish municipalities and business applications. His publications (48+) span topics from domain adaptation to large language model evaluation, emphasizing practical NLP solutions and reproducible research practices.

• Computer Assisted Language Learning
• Educational Technology
• English for Specific Purposes
• +3 more

Senem Yıldız is an Associate Professor at Bogazici University's Faculty of Education, Department of TEFL. She holds a Ph.D. from Indiana University's Department of Language Education (2003) and a B.A. from Hacettepe University's Department of Translation and Interpretation (1997). Her research focuses on Computer Assisted Language Learning (CALL), mobile learning applications, English for Specific Purposes (ESP), and materials development. She has published extensively on topics like emergency remote education, digital tool efficacy in language learning environments, and teacher education strategies in technology-constrained settings. Education: Ph.D. in Language Education (Indiana U, 2003); B.A. in Translation (Hacettepe U, 1997) Research Highlights: Mobile language learning, CALL in limited-access environments, and EFL teacher training methodologies Yıldız has led research projects including 'Multimedia Storybooks in Preschool EFL' (2011-2015) and 'Digitalization of Middle School Content' (Erasmus+, 2021-present). She teaches courses like Computer Assisted Language Learning and Materials Evaluation at both undergraduate and graduate levels. Her work emphasizes innovative pedagogical solutions for under-resourced educational contexts. Publications reflect a focus on digital tools' role in second language acquisition, with notable contributions to Language Learning & Technology and Journal of Computer and Education Research . She has supervised M.A. theses on topics ranging from corpus-based vocabulary teaching to collaborative writing strategies in EFL.

Fabian David SchmidtView profile

Researcher

• Machine Learning
• Deep Learning
• Multilingual Cross-Lingual NLP
• +3 more

Fabian David Schmidt is a Researcher and Ph.D. candidate at the University of Mannheim, affiliated with the Chair of Text Analytics for Interdisciplinary Research under Prof. Dr. Goran Glavaš. His work is part of the Data and Web Science Group. He focuses on machine learning, deep learning, and multilingual NLP techniques, particularly in cross-lingual lexical semantics and information retrieval. His research includes analyzing legislative changes in the EU using NLP methods in collaboration with Leiden and Strathclyde Universities. He developed the SEAGLE platform for evaluating semantic encoders in information retrieval contexts. Key areas of expertise include multilingual systems, low-resource NLP, and cross-lingual distributional semantics. His work bridges computational methods with social science applications like policy analysis.

Eli-Marie Danbolt DrangeView profile

Associate Professor

• Multilingual Education
• Language Teaching Methodology
• Second Language Acquisition
• +3 more

Eli-Marie Danbolt Drange is an Associate Professor at the Department of Foreign Languages and Translation at the University of Agder (UiA). She is affiliated with the Multilingualism in Society and Education (MUSE) research group. Her work focuses on multilingual education, language teaching methodologies, digital pedagogy, and second language acquisition. She has contributed significantly to the design of the Tracking Written Learner Language (TRAWL) Corpus, a longitudinal study of multilingual learners’ writing development. Her research explores topics such as teacher collaboration across language subjects, digital competencies in education, and the integration of technology in language learning. Drange has published extensively in journals like Journal of Multilingual and Multicultural Development and Nordic Journal of Language Teaching and Learning , addressing issues ranging from L3 Spanish writing in Norway to the impact of internationalization on teacher education during the pandemic. Her recent work includes studies on multilingualism in schools, intercultural student collaboration via digital platforms, and the role of feedback in language classrooms. She actively participates in projects like ITELab, aiming to enhance digital competencies for teacher educators. Drange’s contributions bridge theoretical linguistic research with practical pedagogical innovations, emphasizing the importance of technology and cross-cultural collaboration in modern education.

• Speech Processing
• Auditory Perception
• Aging and Hearing
• +3 more

Daniel Fogerty is an Associate Professor in the Department of Speech and Hearing Science at the University of Illinois. His research focuses on auditory perception, speech processing, and the effects of aging on hearing and cognition. Key areas include speech intelligibility in adverse listening conditions, modulation masking, and sensorimotor control in vocal production. Recent work examines how age-related hearing loss impacts recognition of temporally filtered speech and explores speaker adaptation techniques for bone-conducted speech. He investigates the interplay between cognitive resources and auditory processing in older adults, particularly in noisy environments. Notable contributions include development of the Spectro-Temporal Glimpsing Index and studies on informational masking in same-talker speech scenarios. His research also addresses atypical vocal quality in genetic disorders like FMR1 premutation, linking sensorimotor dysfunctions to speech abnormalities. Dr. Fogerty's lab employs advanced signal analysis, acoustic modeling, and perceptual experiments to bridge theoretical and applied audiology. Collaborations span engineering, linguistics, and neuroscience domains.

Christian-Emil Smith OreView profile

Associate Professor

• Digital Humanities
• Lexicography
• Text Encoding
• +3 more

Christian-Emil Smith Ore is an Associate Professor and head of the Unit for Digital Documentation (EDD) at the University of Oslo. With 25+ years in digital humanities, he focuses on cultural heritage documentation, lexicography, and electronic text editions. His work emphasizes standards like TEI for text encoding and CIDOC-CRM for data interchange to enable cross-disciplinary research integration. Research interests span: Digital methods for cultural heritage preservation Lexicographic research and corpus linguistics Semantic modeling of historical texts Development of digital infrastructures for humanities research Cross-institutional data interoperability Publications from 2017-2024 demonstrate consistent focus on lexicographic innovation, archaeological data modeling, and digital preservation. Key thematic clusters include: Evolution of Norwegian lexicography and language standardization Semantic frameworks for cultural heritage data integration Digital tools for historical text analysis and dictionary development Professional leadership includes: Co-founding the Medieval Nordic Text Archive (menota.org) Chairing Digital Humanities in Nordic countries (DHN) Co-chairing TEI ontology SIG Leading conceptual modeling for Archaeological Digital Excavation Documentation (ADED) infrastructure

Petter MæhlumView profile

Research Fellow

• Machine Translation
• Sentiment Analysis
• Norwegian Language
• +4 more

Petter Mæhlum is a Doctoral Research Fellow at the Research Group for Language Technology (LTG) within the Department of Informatics at the University of Oslo. His academic affiliation falls under the Faculty of Mathematics and Natural Sciences. He specializes in computational linguistics, with a focus on machine translation, sentiment analysis, and language variation in Norwegian. His work addresses linguistic norms, dialectal writing, and learner variation, alongside interdisciplinary applications in healthcare and education. His research interests span multiple areas: variety-aware machine translation , exploring how systems handle Norwegian linguistic diversity; sentiment analysis , particularly applied to patient feedback data through collaborations with the Norwegian Institute of Public Health (NIPH); and applied linguistics , including lexicography and teaching Norwegian as a second language. He actively contributes to dataset development for under-resourced languages and dialects, such as NARC (Norwegian Anaphora Resolution Corpus) and NorDiaChange. Recent publications highlight his engagement in workshops and conferences like VarDial and LREC-COLING, addressing topics ranging from dialect detection to ethical challenges in large language models. Though no specific grants or advising roles are detailed, his active participation in collaborative projects underscores his commitment to advancing language technology and healthcare NLP applications. He is affiliated with the LTG research group, which focuses on cutting-edge language processing methodologies and resources.

• Corpus Linguistics
• Language Learning
• Second Language Acquisition
• +4 more

Dr Dana Gablasova is a Senior Lecturer in the Department of Linguistics and English Language at Lancaster University since 2013. She holds a PhD in Linguistics from the University of Auckland, New Zealand, alongside MAs in English Linguistics and Political Science from Charles University in Prague, Czech Republic. Her research focuses on corpus-based methodologies applied to language learning, teaching, and assessment, with specialties in vocabulary studies, formulaic language, and English-Medium Instruction (EMI) contexts. Her work includes developing the New General Service List (New GSL), a core English vocabulary resource, and leading the Trinity Lancaster Corpus project—a 4.2-million-word corpus of L2 spoken interactions. Current projects involve the EMI Corpus of Reading and Writing, funded by the British Council, and collaborations on the APTIS test corpus. She teaches modules such as LING 428 (Corpora in Language Teaching) and LING 556 (Fundamentals of Corpus Linguistics). Research interests span corpus-based language teaching materials development, L2 pragmatic competence analysis, and the role of corpora in authentic language testing. She actively supervises PhD students in corpus linguistics applications, vocabulary acquisition, and EMI contexts. Her interdisciplinary projects bridge corpus linguistics, second language acquisition, and language testing, with a focus on international education and linguistic diversity.

Gohar SchnelleView profile

Researcher

• Historical Linguistics
• Register Studies
• German Medical Language History
• +4 more

Gohar Schnelle is a researcher at the Institute for German Language and Linguistics at Humboldt University of Berlin, specializing in historical register variation in German. Her work focuses on Old High German and Early New High German texts, particularly those of Martin Luther. Co-editor of major historical corpora: Referenzkorpus Altdeutsch , Ridges-herbology , and Referenzkorpus Deutsche Inschriften (Subkorpus Grabinschriften) Active member of the CRC 1412 'Register: Language Users’ Knowledge of Situational-Functional Variation' and the Berlin University Alliance X-Student Research Group Her research bridges register theory and methodology through: Analysis of medical language evolution in historical herbology texts Quantitative study of religious register patterns Register variation in funerary inscriptions Development of historical corpus-building techniques Recent publications highlight her contributions to: Corpus modeling for historical register research Register annotation frameworks Register-aware teaching methodologies Comparative analysis of Old High German and Old Swedish texts