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Harry van der HulstView profile

Professor

• Phonology
• Sign Language Studies
• Language Evolution
• +4 more

Harry van der Hulst is a Professor of Linguistics and Director of Undergraduate Studies at the University of Connecticut's Department of Linguistics (College of Liberal Arts and Sciences). He holds a Ph.D. from Leiden University (1985) and has held academic roles at Leiden University (1977–2000) before joining UConn. His research focuses on Phonology, particularly stress systems, syllabic structure, sign language, language evolution, and graphic narrative linguistics. Education: Ph.D. Leiden University (1985), Master's in Generative Phonology (Leiden, 1977). He has directed the Holland Institute of Generative Linguistics (HIL) and contributed to foundational phonological theories like Dependency Phonology and Radical CV Phonology. Research interests include vowel harmony, phonological typology, and the interplay between syntax and phonology. His publications span over 200 articles and books, including Principles of Radical CV Phonology (2020) and edited volumes on vowel harmony and phonological history. He is affiliated with the UConn Graphic Narrative Initiative, exploring linguistic analysis of visual narratives. No specific advising or grant details are listed, but his extensive editorial roles and institutional leadership reflect significant academic contributions.

Mona AndersonView profile

Adjunct Assistant Professor

• Syntactic Theory
• Linguistics
• Syntax
• +3 more

Mona Anderson is an Adjunct Assistant Professor of Linguistics at the University of Connecticut. Her research focuses on Syntactic Theory, including clause structure, argument status, and noun phrase analysis. She holds a Ph.D. in Linguistics from the University of Connecticut (1979). Key research interests include formal syntax, complementizer phrases, genitive constructions, and generative grammar frameworks. Her work bridges theoretical linguistics with syntactic analysis across different linguistic phenomena. Publications span foundational studies in syntactic theory, including seminal work on NP structures and clause complementation. Her doctoral dissertation, Noun Phrase Structure , was distributed by the Indiana University Linguistics Club and remains a reference in syntactic studies. No academic awards or grants are explicitly mentioned in the provided text. Contact: mona.anderson@uconn.edu, Oak Hall 364.

Signe Oksefjell EbelingView profile

Professor

• Corpus Linguistics
• Contrastive Linguistics
• Modern English Grammar
• +4 more

Signe Oksefjell Ebeling is a Professor at the University of Oslo's Faculty of Humanities, affiliated with the Department of Literature, Area Studies and European Languages. Her research focuses on corpus linguistics, contrastive linguistics (particularly English and Norwegian), modern English grammar, learner language analysis, verb semantics, and phraseology. She coordinates the Norwegian component of the International Comparable Corpus (ICC-NO) and participates in projects like VESPA-NO. She serves on editorial boards for Languages in Contrast and the International Journal of Learner Corpus Research, and is a member of ICAME's executive board and the Czech National Corpus Advisory Board. Her research interests include idiomaticity, corpus-based contrastive studies, and the analysis of recurrent word combinations across languages. She has contributed to studies on verb constructions, semantic prosody, and cross-linguistic phraseology, with a focus on English-Norwegian comparisons. Her recent work explores AI-generated translations and cross-linguistic patterns in academic and sports discourse. Ebeling teaches courses on contrastive analysis, corpus linguistics, and English grammar at the University of Oslo. Her publications span over two decades, with contributions to journals like Languages in Contrast , Nordic Journal of English Studies , and BerGen Language and Linguistics Studies . She collaborates with international researchers and has edited volumes on corpus-based contrastive linguistics and learner corpus research.

Xue BaiView profile

Professor

• Data Analytics
• Data Mining
• Mathematical Modeling and Optimization
• +3 more

Dr. Xue Bai is a Professor and Milton F. Stauffer Senior Research Fellow at Temple University's Fox School of Business and Management, Department of Statistics, Operations, and Data Science. She previously taught at the University of Connecticut's School of Business since 2007. Her research focuses on data analytics, mathematical modeling, and online platforms, with publications in top journals like MIS Quarterly and Production and Operations Management. She serves as a senior editor of Production and Operations Management and associate editor of Decision Support Systems. Education includes a PhD from Carnegie Mellon University and a BS from Tsinghua University. Research interests span data mining, optimization, and social network analysis. She teaches undergraduate courses like Data Management and Analytics for Business Strategies. Her recent work includes predicting social media hotspots and optimizing cloud service capacity. She has held editorial roles and contributed to interdisciplinary fields like healthcare services analysis and materials science. Key contributions include studies on consumer behavior, network dynamics, and thermal metamaterials. Her work bridges data science with practical applications in business, healthcare, and technology sectors.

Margaret ThomasView profile

Professor

• History of Linguistics
• Second Language Acquisition
• Japanese Psycholinguistics
• +4 more

Margaret Thomas is a Professor of Linguistics at Boston College, affiliated with the Department of Eastern, Slavic, and German Studies within the Morrissey College of Arts and Sciences. Her research focuses on the history of linguistics (especially American structuralism), second language acquisition, and Japanese psycholinguistics. She holds degrees from Yale University (B.A.), Boston University (M.Ed.), Harvard University (A.M., Ph.D.). Education: B.A. Yale University; M.Ed. Boston University; A.M./Ph.D. Harvard University Teaching: Courses include Formalism vs. Functionalism, Second Language Acquisition, and Linguistic Structure of Japanese Research: Supported by Spencer Foundation and Japan Foundation; held visiting roles at Waseda/Dokkyo/Japan Women's Universities Her work spans theoretical linguistics and applied research, with key publications on structuralism history, SLA historiography, and linguistic methodology. Recent focus includes colonial American language studies and gender dynamics in linguistics. Publications include Formalism and Functionalism in Linguistics (2020), Roman Jakobson: Critical Assessments (2014), and foundational works on universal grammar in SLA. Her articles explore SLA ethics, historical linguistic theory, and cross-language learning techniques.

Dan EverettView profile

Professor

• Amazonian field linguistics
• Pirahã language and culture
• Syntax and recursion
• +4 more

Dan Everett is a field linguist and anthropological linguist renowned for decades of Amazonian fieldwork, especially on the Pirahã language, and for his theoretical critiques of Universal Grammar and syntactic recursion. His writings bridge academic linguistics and public science, exemplified by books such as Don’t Sleep, There Are Snakes and How Language Began . Education & Career: While the text does not list degrees or institutional appointments, Everett is described as a missionary-turned-linguist who achieved fluency in Pirahã and several other Amazonian languages; a 2023 tribute event at MIT celebrated his impact on the field. Research Interests: Everett’s work spans phonology, morphology, syntax, semantics, sociolinguistics, psycholinguistics, historical linguistics, philosophy of language and linguistics, with a strong emphasis on data-driven, culturally embedded analysis. He argues that language is a cultural tool shaped by communication needs rather than an innate, recursively hard-wired faculty. Publications Trajectory: From 2012-2025 Everett co-authored or authored monographs and articles that refine his cultural-tool hypothesis, engage with Peircean semiotics, critique generative grammar, and extend his Amazonian findings to global questions of language evolution and cognition. Scientific Recognition: The 2024 festschrift From Fieldwork to Linguistic Theory (eds. Gibson & Poliak) compiles fifteen original chapters assessing his influence, effectively constituting an informal lifetime-achievement homage; no named medals or fellowships are cited in the source. Advising & Grants: No student lists or grant details appear in the provided text. Labs & Teams: No current institutional lab affiliation is stated; he is portrayed as an independent, field-oriented scholar whose primary ‘team’ has been the Amazonian communities he studies.

Thomas IcardView profile

Professor

• Cognitive Science
• Formal Philosophy
• Logic
• +5 more

Thomas Icard is the Clarence Irving Lewis Professor of Philosophy and Professor of Computer Science (by courtesy) at Stanford University, holding a primary appointment in the Department of Philosophy with secondary affiliation in Computer Science. His research integrates Cognitive Science, Formal Philosophy, and Logic to investigate resource-bounded rationality, causal inference mechanisms, and probabilistic reasoning under computational constraints. He examines how agents form causal models and make decisions when faced with limited cognitive resources, bridging philosophical foundations with empirical cognitive science and AI applications. Recent publications reveal strong interdisciplinary trends across philosophy, computer science, and psychology, with emphasis on causal abstraction for interpretable AI systems, quantitative-qualitative reasoning divides, and theoretical foundations of generative models. His work consistently connects formal logical frameworks with experimental validation in human cognition. Professor Icard has mentored fifteen advanced students across Philosophy, Symbolic Systems, Computer Science, and Linguistics, including Krzysztof Mierzewski (2020), Declan Thompson (2023), Cristina Ceballos (2023), Duligur Ibeling (2024), and Atticus Geiger (2024), demonstrating exceptional cross-departmental supervision capacity in both doctoral and master's programs.

Robert BerwickView profile

Professor

• Computational Linguistics
• Artificial Intelligence
• Machine Learning
• +5 more

Robert Berwick is a Professor of Computer Science and Engineering and Computational Linguistics at MIT, affiliated with the departments of Electrical Engineering and Computer Science (EECS), as well as the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). He holds a joint appointment in the MIT School of Engineering and is an active member of the AI+D initiative. His research focuses on computational models of language acquisition, syntax, and evolutionary linguistics, integrating machine learning, formal grammatical theory, and dynamical systems. Berwick has been a key figure in exploring the biological and evolutionary foundations of human language, particularly through comparative studies with birdsong. He is also a co-founder and former director of MIT's Center for Biological and Computational Learning. Education details are not explicitly provided, but his academic career at MIT spans decades with notable contributions across computational linguistics, AI, and cognitive science. Berwick has received prestigious awards including the Guggenheim Fellowship and MIT's Edgerton Award. His work bridges theoretical linguistics with computational methods, emphasizing algebraic models of syntax and the limits of deep learning in capturing human language structure. He teaches courses on natural language processing and evolutionary biology, reflecting his interdisciplinary approach to language research. Current projects include investigating Hopf algebra frameworks for syntactic analysis and phylogenetic modeling of language evolution. Research interests span formal syntax, computational models of grammar acquisition, and the integration of cognitive science with AI. His publications emphasize mathematical rigor in linguistic theory and critique neural network approaches that neglect core syntactic principles. Berwick collaborates with biologists and computer scientists to study language origins, arguing that syntax emerged as an evolutionary leap distinct from simpler communication systems. Scientific awards include the John Simon Guggenheim Memorial Award (2017), MIT Edgerton Faculty Achievement Award (2015), and NSF Presidential Young Investigator Award (1985). His work has been featured in peer-reviewed journals and conferences, with notable contributions to the understanding of language evolution and computational linguistics.

Martin PickeringView profile

Professor

• Psychology of Language
• Language Production
• Language Comprehension
• +5 more

Martin Pickering is a Professor in the School of Philosophy, Psychology and Language Sciences at the University of Edinburgh. He serves as the Director of Research for the School and is based in Room S12 of the Psychology Building at 7 George Square, Edinburgh. His contact email is martin.pickering@ed.ac.uk and phone number is 0131 650 3447. Professor Pickering is actively involved in teaching and research with a focus on language and communication processes. Professor Pickering completed his BA (1st Class) in Psychology at the University of Durham and his PhD in Cognitive Science at the University of Edinburgh. He has held academic positions at institutions in Arizona, Glasgow, and Edinburgh. Professor Pickering's research focuses on the psychology of language and communication, with particular emphasis on language production, language comprehension, dialogue processes, language and imagination, joint action, and bilingualism. His work employs various methodologies including eye-tracking, ERP, and behavioral experiments to investigate how people produce and understand language in interactive contexts. He has developed influential theories on dialogue processing and predictive mechanisms in language comprehension, with his 2004 paper 'Toward a mechanistic psychology of dialogue' and 2013 paper 'An integrated theory of language production and comprehension' being particularly significant contributions. His research has been supported by numerous grants from organizations including the Economic and Social Research Council, European Commission, and Royal Society of Edinburgh. Current projects include 'Predicting language under difficult conditions: Effects of cognitive load, noise, and hearing impairment' and 'COBRA: COnversational BRAins.' Fellow of the British Academy (FBA) Fellow of the Royal Society of Edinburgh (FRSE) Professor Pickering has supervised numerous PhD students, both as primary supervisor and assistant supervisor. Among his current students are Matias Morales Martinez, Fang Yang, and Yue Yu. His past students include prominent researchers such as Holly Branigan (now Professor at Edinburgh), Patrick Sturt (Reader at Edinburgh), and Chiara Gambi (Lecturer at Cardiff). He is open to supervising new PhD students in his areas of interest. Professor Pickering has held editorial positions for major journals including Journal of Memory and Language, Psychological Science, and Language and Cognitive Processes. He has also served on review panels for funding bodies such as ESRC and the Royal Society of Edinburgh.

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

Prof. Ryan Cotterell is an Assistant Professor in the Department of Computer Science at ETH Zürich. His research focuses on machine learning and natural language processing, particularly in transformer models, syntactic control of language systems, and computational linguistics. He teaches courses such as Neural Networks and Computational Complexity, Natural Language Processing, and Advanced Topics in Machine Learning. His work bridges theoretical foundations and practical applications, exploring topics like language model expressivity, information locality, and formal language theory. Recent publications highlight innovations in controlled generation, model evaluation, and multimodal systems. While no specific awards are listed, his contributions to the field are evident through his extensive publication record and academic roles. Advising and grant details are not explicitly mentioned in the provided texts, but his involvement in teaching and research indicates active mentorship and project leadership. No lab or team affiliations specific to Ryan Cotterell are detailed here.

Antonella SoraceView profile

Professor

• Bilingualism
• Language acquisition
• Cognitive science
• +3 more

Antonella Sorace is a Professor of Developmental Linguistics at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences, with an Honorary Professorship at University College London. She holds prestigious fellowships from the British Academy, Royal Society of Edinburgh, and American Association for the Advancement of Science. Her work bridges linguistics, psychology, and cognitive science, focusing on bilingualism across the lifespan, language acquisition, and the cognitive benefits of multilingualism. She pioneered the use of Magnitude Estimation in linguistic research and founded Bilingualism Matters, a global network promoting evidence-based language policies. Sorace has supervised over 40 PhD students and led major grants from ESRC, AHRC, and the EU. Her research explores bilingualism's impact on autism, heritage language attrition, and the interplay between syntax and pragmatics. Education: Laurea (University of Rome), MA (University of Southern California), PhD (University of Edinburgh) Affiliations: Visiting professorships at Utrecht, Trondheim, Max Planck Institute for Psycholinguistics, Johns Hopkins University, and others Research Interests: Bilingualism's effects on cognition, language attrition in adults, child bilingual acquisition, and experimental methods in linguistics. Her work highlights bilingualism's cognitive advantages and challenges stereotypes about 'native speaker' competence. She has quantified how bilingualism influences pragmatic reasoning and executive control, with special attention to neurodivergent populations like autistic individuals. Grants & Projects: Current and past grants include ERASMUS+ (2021-23), SSHRC (2019-22), and EU's 'Advancing the European Multilingual Experience' (2014-2019). Projects investigate bilingualism in autism, heritage language maintenance, and hate speech perception. She co-led studies on Gaelic medium education's cognitive benefits and the impact of intensive language learning. Awards: Beltane Fellowship for Public Engagement (2007-08), ESRC Knowledge Transfer Grant (2007-08) Bilingualism Matters: As founder and director, she created a global network providing accessible science communication about multilingualism. The organization advises schools, health services, and policymakers, with branches in 25+ countries. Sorace advocates for bilingualism's societal value through media outreach, including hundreds of lectures and interviews worldwide.

• Formal Semantics
• Pragmatics
• Syntax-Semantics Interface
• +4 more

Wataru Uegaki is a Reader (Associate Professor) and UKRI Future Leaders Fellow at the University of Edinburgh's Department of Linguistics and English Language , within the School of Philosophy, Psychology and Language Sciences . He leads two major projects: the UKRI-funded Logic in Semantic Universals (2022-2025) and the AHRC/DFG-funded MECORE (2021-2024). His research focuses on formal semantics and pragmatics, exploring how word meanings interact with grammatical structures and cross-linguistic patterns in logical vocabularies. He teaches semantics and pragmatics at undergraduate and postgraduate levels. Education : PhD in Linguistics (MIT, 2015), previously at Leiden University. His work integrates formal linguistic theory with experimental and evolutionary approaches. Current research emphasizes clause-embedding predicates, combinatorial restrictions, and the cognitive foundations of semantic universals. Research Interests : Cross-linguistic generalizations in lexical semantics Syntax-semantics interface Formal semantics and experimental validation Evolutionary linguistics and learnability Recent Publications focus on empirical and theoretical exploration of clause-embedding predicates, modal elements, and cross-linguistic datasets. Notable contributions include automated clausal embedding detection algorithms and experimental studies on focus sensitivity. Awards : UKRI Future Leaders Fellowship (2022-2025) AHRC/DFG MECORE Project (2021-2024) Supervision : Advised over 20 students at Edinburgh and Leiden, including PhD graduates Esther Lam, Thomas Stephen, and Takanobu Nakamura. Current advisees include James Engels and Fred Whibley. He also mentors research assistants in MECORE and UKRI projects. Labs/Teams : Core member of the Logic in Semantic Universals team (Edinburgh, Potsdam, Trento), and the cross-institutional MECORE collaboration (Edinburgh, Konstanz, Amsterdam).

Weiwei SunView profile

Senior Lecturer

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

Dr. Weiwei Sun is a University Senior Lecturer in the Department of Computer Science and Technology at the University of Cambridge. His research focuses on Natural Language Processing (NLP), including semantic parsing, dialogue systems, retrieval-augmented generation, and computational linguistics. He teaches courses such as 'Introduction to Computational Semantics' and 'Natural Language Processing' at the undergraduate and postgraduate levels. His work spans theoretical and applied NLP, with recent contributions to generative retrieval systems, semantic dependency analysis, and cross-lingual NLP techniques. Notable projects include developing frameworks like LLM4Ranking for document reranking and exploring phonetic reconstruction of Middle Chinese using optimization methods. Dr. Sun's publications emphasize improving NLP model efficiency, robustness, and contextual understanding through methods like sparse adapters and consistency alignment. His research also intersects with materials science, as seen in studies on memristor failure mechanisms. No academic awards are explicitly mentioned in the provided text.

Rosalind TempleView profile

Lecturer

• Phonetics
• Phonology
• Sociolinguistics
• +5 more

Rosalind Temple is a University Lecturer in French Linguistics and Fellow of New College at the University of Oxford. She holds an MA, MPhil, and a PhD from the University of Wales. Her research focuses on the intersection of phonetics/phonology and variationist linguistics, with particular emphasis on variability in fine phonetic detail and its theoretical implications. She has conducted studies on French, English, and Welsh, exploring topics such as dialectal variation, sociolinguistic identity, and language contact. Education PhD in Linguistics, University of Wales MPhil in Linguistics, University of Wales MA in Linguistics, University of Wales Teaching & Supervision She teaches historical and modern French linguistics (Papers IV and V) and general linguistics (Paper A). She actively supervises postgraduate research, including current DPhil theses on: Variation and identity in Lithuanian (Vilnius) Bermudian English Language contact in Brussels Research Trends Her publications span sociolinguistic analyses of French regional dynamics, phonetic detail in variationist theory, and interdisciplinary approaches to language structure. Recent work highlights methodological innovations in sociophonetics and cross-linguistic comparisons. Awards & Grants No scientific awards explicitly listed. Active in academic supervision and interdisciplinary research collaborations. Labs/Teams No specific labs or teams mentioned in the text.

• Lexical Semantics
• Compositional Semantics
• Pragmatics
• +5 more

Lelia Glass is an Assistant Professor of Linguistics and Director of the Linguistics Program at the School of Modern Languages, Georgia Institute of Technology. She holds a Ph.D. in Linguistics from Stanford University (2018) and has expertise in lexical semantics, pragmatics, and sociolinguistics. Her research explores how world knowledge influences language interpretation, with a focus on experimental methods and computational tools. She teaches courses like LING-2100: Intro to Linguistics and LING-4015: Advanced Language Processing . Education: Ph.D. (2018), M.A. (2014) from Stanford University; B.A. (2012) from University of Chicago. Key Awards: Faculty Excellence in Research Award (2022), ACLS/Mellon Dissertation Fellowship (2017–2018), and Walter J. Gores Teaching Award (2017). Her research integrates empirical and computational approaches to study linguistic meaning and social identity. Notable projects include analyzing political slogans' pragmatic interpretations and sociolinguistic shifts in Georgia English. She co-authored Language and Computers (2024) and developed the Bed Word automated speech recognition tool for sociolinguistic research. Research Themes: Vowel system variation, subjective adjective usage, and computational semantics. Labs/Teams: Leads Georgia Tech’s Linguistics Program, fostering interdisciplinary collaborations in language technology and sociolinguistics.