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Mark Liberman is a Trustee Professor at the University of Pennsylvania , holding appointments in the Department of Linguistics and Department of Computer and Information Science . He serves as Director of the Linguistic Data Consortium and Faculty Director of Ware College House . His career spans linguistics, speech technology, and computational methods. Education: Harvard University (1965-1969), MIT (M.S. 1972, Ph.D. 1975) Professional Experience: AT&T Bell Laboratories (1975-1990), University of Pennsylvania (1990-present) His research interests include: Corpus-based Phonetics : Analyzing speech patterns via large-scale datasets. Clinical Applications : Developing speech biomarkers for neurodegenerative diseases. Tonal Phonology : Studying lexical tone and intonation in languages like Yoruba and Mandarin. Formal Annotation Models : Creating frameworks for linguistic data standardization. Recent publications highlight automated speech analysis, cross-linguistic prosody, and digital biomarkers for conditions like ALS-FTD and Alzheimer’s. His collaborations span computational linguistics , neurology , and cognitive science . Scientific awards include the IEEE James L. Flanagan Award (2017), Antonio Zampolli Prize (2010), and fellowships from the AAAS and Linguistic Society of America . He advises PhD students May Chan and Jonathan Him Nok Lee and contributes to editorial boards for journals like Cognition and Annual Review of Linguistics . His work bridges speech science , language technology , and neurocognitive research .

• Corpus-based Phonetics
• Speech and Language Technology
• Clinical Applications of Linguistics
• +6 more

Mark Y. Liberman is the Christopher H. Browne Distinguished Professor of Linguistics and Trustee Professor at the University of Pennsylvania. He holds a joint appointment in the Department of Linguistics and the Department of Computer and Information Science. His roles include Director of the Linguistic Data Consortium (LDC), Faculty Director of Ware College House, and former Director of the Institute for Research in Cognitive Science. Education: A.B. in Linguistics and Applied Mathematics from Harvard University (1965–1969), M.S. (1972) and Ph.D. (1975) in Linguistics from MIT. Research focuses on corpus-based phonetics, clinical linguistics applications, tonal phonology, formal models for linguistic annotation, and computational linguistics. He explores speech production, prosody, and interdisciplinary topics like language evolution and neurobiology of speech. Recent articles highlight advancements in speech biomarkers for neurodegenerative diseases, autism analysis, and computational linguistics. Awards include Fellowships from the AAAS and Linguistic Society of America. He advises graduate students and leads large-scale language resource initiatives like LDC, contributing to open-access linguistic datasets. Labs/Teams: Linguistic Data Consortium (LDC), Institute for Research in Cognitive Science (IRCS), and collaborations in computational linguistics and neuroscience.

• Corpus Linguistics
• Speech and Language Technology
• Clinical Linguistics
• +4 more

Karthik R. Narasimhan is a Professor at Princeton University's School of Engineering and Applied Science in the Department of Computer Science. Previously, he earned his PhD from MIT under Regina Barzilay and served as a visiting research scientist at OpenAI during 2017-18. His research focuses on the intersection of language and decision-making, building autonomous agents that learn from both experience and human knowledge. His research spans multiple high-impact areas including language agents (Text-DQN, CALM, ReAct, Tree of Thoughts), reinforcement learning (h-DQN, Multi-Objective RL), and AI safety (Toxicity in ChatGPT, DataMUX). He has developed critical datasets and benchmarks such as WebShop, InterCode, SWE-bench, and SILG that have become standard evaluation tools in the field. Current work emphasizes agent capabilities, software engineering automation, and multimodal interaction. His publication trends show strong focus on practical agent deployment (SWE-agent, Tree of Thoughts), safety evaluation (Probing AI Safety), and efficiency improvements (DataMUX). Recent work increasingly addresses real-world challenges in software engineering, security, and human-AI collaboration through rigorous benchmarking. Co-author of foundational GPT (2018) paper Key developer of Text-DQN (2015), CALM (2020), ReAct (2022), Tree of Thoughts (2023) Creator of influential benchmarks: WebShop (2022), SWE-bench (2023), InterCode (2023) He actively advises students through Princeton's computer science program, with research supported by multiple grants focused on autonomous agent development and language-based decision systems. His GitHub repositories (nlp-datasets, text-world-player) demonstrate strong community engagement in open-source research tools. Current projects include advancing language agent capabilities through Reflexion (2023) and Tree of Thoughts (2023) frameworks while addressing critical safety and efficiency challenges.

• Language Agents
• Reinforcement Learning
• Natural Language Processing
• +3 more

Pranav Anand is a Professor in the Department of Linguistics at the University of California, Santa Cruz (UCSC). He currently serves as the Faculty Director of the Humanities Institute at UCSC since July 2023. His research focuses on the interplay between context, interpretation, and grammatical perspective, particularly in areas like de re/de se contrasts, evaluative predication, and indexical shift. He has contributed to studies on narrative structures, evidential restrictions, and the syntax-semantics interface in sluicing. Dr. Anand has taught a variety of courses including Ling 119: Narratives , Ling 231: Semantics A , and special topics like Invented Languages: From Elvish to Esperanto . His work bridges theoretical linguistics with computational methods, evidenced by collaborations in projects such as the Santa Cruz sluicing dataset and analyses of political discourse in online commentary. His research has been published in journals like Linguistics and Philosophy , Language , and Discourse and Society , with a focus on semantics, pragmatics, and narrative linguistics. He has also contributed to computational linguistics initiatives, including the development of annotated corpora for sentiment analysis and argumentation studies. Dr. Anand's academic contributions span both theoretical exploration and applied computational linguistics, reflecting his interdisciplinary approach to understanding language structure and usage.

• Semantics
• Pragmatics
• Syntax-Semantics Interface
• +5 more

Jiwon Yun is an Associate Professor in the Department of Linguistics at Stony Brook University. She holds a Ph.D. in Linguistics from Cornell University (2013) and a B.S.E. in Computer Science & Engineering from Seoul National University (cum laude with honors). Her research focuses on speech prosody, syntax-semantics interfaces, and computational modeling of sentence processing, with special attention to East Asian languages like Korean, Mandarin, and Japanese. Dr. Yun teaches undergraduate and graduate courses in computational linguistics, semantics, pragmatics, and experimental phonetics. Her work bridges theoretical linguistics and experimental methods, examining how prosody interacts with syntactic and semantic structures. Recent publications investigate prosodic disambiguation of syntactic ambiguities, computational models of relative clause processing, and intonation patterns in Korean and Mandarin. She has developed tools for automated speech corpus analysis and maintains a Hangul-Yale Romanization Converter for linguistic research. Her research has been published in journals like Humanities and Social Sciences Communications , Linguistic Inquiry , and Journal of East Asian Linguistics . Teaching responsibilities include courses such as LIN 335 (Computational Linguistics) and LIN 627 (Computational Semantics).

• Speech Prosody
• Syntax-Semantics Interface
• Computational Linguistics
• +3 more

Andrew Ollett is an Associate Professor and Director of Graduate Studies in the Department of South Asian Languages and Civilizations at the University of Chicago , where he has taught since 2019. His research focuses on the literary and intellectual traditions of South and Southeast Asia, particularly through works in Sanskrit, Prakrit, Apabhramsha, and Kannada from the first millennium CE. Co-founder and editor of NESAR (New Explorations in South Asia Research) Director of NEH-funded edition/translation of the Kavirājamārga (earliest Kannada literary manual) Expert in Prakrit and Kannada literary traditions His work explores the 'question of language'—examining how language choice shaped cultural production and change in premodern India. Current projects include a monograph on context-sensitivity in Indian language theories and a study of manuscript technology's impact on early South Asian knowledge communities. He has authored The Mirror of Ornaments (Naples: Unior Press, 2025) and Language of the Snakes (UC Press, 2017), and co-authored Lilavai (Harvard, 2021). Recent publications include interdisciplinary studies on: Sanskrit-Prakrit campū genre reevaluation Pragmatics in Mīmāṁsā interpretive concepts Manuscript literacy's influence on literary forms Historical linguistics of Middle Indic syllable reduction Philosophy of language in Śālikanātha and Kumārila Bhaṭṭa Awarded the NEH 'Scholarly Editions and Translations' grant , he teaches classical South Asian literature courses covering Sanskrit, Prakrit, and Tamil traditions. He maintains digital resources including a Prakrit Digital Texts Project and Mīmāṁsādigdarśinī digital text repository, and actively contributes to open-access scholarship.

• Poetics
• History of Literature
• Intellectual History
• +9 more

Charles Yang is a Professor of Linguistics and Computer Science at the University of Pennsylvania , where he also directs the Cognitive Science Program. His research integrates computational models with studies of language acquisition, processing, and evolution. Education: Ph.D. in Computer Science, MIT, 2000 Yang's work spans language acquisition , computational linguistics, and the evolution of cognition. He has authored The Price of Linguistic Productivity (2016), which received the Leonard Bloomfield Award from the LSA. Recent publications focus on large language models as cognitive models, the Chinese aspectual system , and statistical approaches to linguistic patterns. His 15 most recent articles (2025-2021) demonstrate a trajectory from computational models of language change to machine translation and multiword expression analysis . Yang has received significant funding from the National Science Foundation and the Guggenheim Foundation . He co-directs the Integrated Language Science and Technology group with John Trueswell and mentors students in linguistics, computer science, and psychology.

• Language Acquisition
• Computational Linguistics
• Cognitive Development
• +4 more

Tim Van de Cruys is a Senior Lecturer at the Faculty of Arts, KU Leuven, serving as Head of the Centre for Computational Linguistics (CCL). He maintains significant affiliations with LECTIO (KU Leuven Institute for the Study of the Transmission of Texts, Ideas and Images), Leuven.AI (KU Leuven Institute for Artificial Intelligence), and LILI (KU Leuven Interdisciplinary Language Institute). His work bridges computational linguistics, artificial intelligence, and humanities research with practical applications across multiple disciplines. Dr. Van de Cruys specializes in computational semantics and creative language generation, with particular expertise in applying NLP techniques to historical and classical texts. His research spans multiple domains including: Natural Language Processing for ancient languages (Latin, Ancient Greek) Computational approaches to lexical and compositional semantics Large language models and their applications in humanities research Creative language generation and human-AI collaboration Named entity recognition and disambiguation in historical contexts Non-autoregressive modeling for sequential generation tasks His recent publications demonstrate a strong focus on applying cutting-edge NLP techniques to humanities challenges, particularly in processing ancient languages. He frequently employs transformer models to address named entity recognition, word sense discrimination, and semantic analysis in low-resource language contexts. His work consistently bridges formal linguistic theory with practical computational applications, creating valuable tools for digital humanities scholars. As promotor and co-promotor on numerous research projects extending through 2029, Dr. Van de Cruys supervises PhD students working at the AI-humanities intersection. His current major projects include "Living Corpora" (exploring human-AI collaboration in digital humanities), "Stochastic processes and non-autoregressive models for sequential generation," and "NIKAW" (exploring knowledge networks from classical antiquity). These projects demonstrate his commitment to advancing both theoretical understanding and practical applications of computational linguistics. He teaches various courses including Computational Linguistics, Scripting Languages, Programming for Humanities, Computational Creativity, and AI for Humanities, training students to work at this critical interdisciplinary crossroads. His leadership of the Centre for Computational Linguistics positions him at the forefront of computational linguistics research in Belgium, where he continues to expand the boundaries of what's possible at the intersection of language, computation, and humanistic inquiry.

• Computational Linguistics
• Natural Language Processing
• Computational Semantics
• +5 more

Joakim Nivre is a Professor at Uppsala University's Department of Linguistics and Philology. He is a leading researcher in computational linguistics, with a focus on dependency parsing, Universal Dependencies (UD) framework development, and multilingual NLP applications. His recent work explores LLMs in climate change discourse analysis, pharmacovigilance explainability, and historical text processing. Key research areas: Dependency parsing theory, Universal Dependencies standardization, LLM evaluation Collaborations: SweSAT-1.0 benchmark development, ClimateEval project, PARSEME integration His 2025-2023 publications demonstrate expertise in explainable AI for healthcare, synthetic data generation for idioms, and multilingual benchmark design. Notably, he co-developed SweSAT-1.0 to evaluate Swedish LLMs and contributed to typology-informed UD revisions. Despite extensive work in NLP, no scientific awards are mentioned in available texts.

• Computational Linguistics
• Natural Language Processing (NLP)
• Dependency Parsing
• +5 more

William H. Nienhauser, Jr. is the Halls-Bascom Professor of Classical Chinese Literature in the Department of Asian Languages and Cultures at the University of Wisconsin–Madison, College of Letters and Science. He is a leading authority on early Chinese literature, historiography, and poetry, with a particular focus on Sima Qian’s Shiji and the poetry of Du Fu. He has held visiting and research positions in China, Japan, Germany, and Taiwan, and remains academically active, including a 2018 appointment as Visiting Professor at Nankai University. His research interests include early traditional Chinese fiction, historiography, chuanqi and zhiguai tales, and the application of modern Western critical theories to Chinese literary texts. He is deeply engaged in the translation and annotation of classical works, especially the Shiji , often in collaboration with graduate students. His scholarship bridges philology, literary theory, and historical contextualization, contributing significantly to the global understanding of pre-modern Chinese literature. Nienhauser’s publications reveal a sustained focus on textual analysis, narrative structure, and the interplay between history and literature. His work spans from early Shijing poetry to Tang dynasty fiction, with a strong emphasis on Sima Qian’s historiographical methods and legacy. He has also contributed foundational reference works and critical editions, shaping the field of Chinese literary studies. His scientific awards reflect the international recognition of his scholarship: Woodrow Wilson Fellowship ACLS Fellowship NEH Fellowship Fulbright-Hayes Fellowship Japan Foundation Fellowship German Research Foundation Fellowship Alexander von Humboldt Foundation Fellowship Humboldt Foundation Lifetime Achievement Award (2003) Nienhauser has advised numerous graduate students in collaborative research projects, particularly on the Shiji and Du Fu. He has secured major fellowships and grants from prestigious organizations including the NEH, ACLS, Fulbright-Hayes, and the Humboldt Foundation, enabling extended research and translation work. His editorial roles, especially as a founding editor of Chinese Literature: Essays, Articles, Reviews (CLEAR), have been instrumental in advancing the field. While no formal lab or research center is mentioned, Nienhauser leads a major international collaborative translation project on the Shiji , involving scholars and students across institutions. His seminars and graduate courses foster a close-knit research community focused on classical Chinese texts.

• Classical Chinese Literature
• Early Traditional Chinese Fiction
• Chinese Historiography
• +8 more

Benoît Sagot is a Senior Researcher in Natural Language Processing and Computational Linguistics at Inria , currently holding the 2023-2024 Informatics and Digital Sciences Annual Chair at Collège de France. He directs the ALMAnaCH research team and contributes to the PRAIRIE Institute for AI research. Research Focus: His work spans neural language models, machine translation, text simplification, multimodal NLP, and lexical resource development for French and low-resource languages. He explores computational morphology, etymology, and historical linguistics, with applications in opinion mining and computational oenology. Recent Articles emphasize language model interpretability, cross-lingual transfer, and multimodal integration (speech, image). Tools & Resources: He has developed morphological lexicons (Le fff, Alexina), corpora (OSCAR, CAMEMBERT), and parsing pipelines (SxPipe). Projects: Involved in initiatives like ANR BASNUM (Furetière's dictionary digitization) and 3IA PRAIRIE (AI research). His career combines foundational work in syntactic analysis with evolving deep learning approaches.

• Natural Language Processing
• Computational Linguistics
• Machine Translation
• +7 more

Malvina Nissim is a leading researcher in computational linguistics and NLP at the University of Groningen's Department of Artificial Intelligence, with a focus on multilingual modeling, bias mitigation, and human evaluation frameworks. Key Contributions : Developed CALAMITA (Italian LLM benchmark), IT5 models for Italian language processing, and ReproHum framework for NLP evaluation reproducibility Research Pillars : Multilingual reasoning consistency, perspective-based text analysis, and figurative language modeling Her work spans activation steering techniques, cross-lingual transfer learning, and the creation of specialized language resources like the EurekaRebus dataset and MAGPIE idiom corpus. She pioneered methods for gender bias measurement in BERT and developed the SocioFillmore tool for perspective visualization. Recent publications explore model uncertainty as MCQ difficulty proxy, Italian headline generation benchmarks, and multilingual multi-figurative language detection. She actively participates in teaching initiatives like the "NLP with Bracelets" workshop for Italian high school students. Scientific Awards : ACL Best Paper Award (2025) EMNLP Outstanding Reviewer (2023) EVALITA Leadership Recognition (2024) She advises PhD students in model bias analysis and has contributed to the development of the Dutch Abusive Language Corpus (DALC) and the ReproNLP reproducibility framework. Her collaborations span institutions in Italy, Netherlands, and international NLP communities.

• Computational Linguistics
• Natural Language Processing
• Multilingual Models
• +7 more

Ian Quinn is the Allen Forte Professor of Music Theory and Director of Graduate Studies (DGS) at Yale University, within the Department of Music in the College of Arts and Science. He holds a B.A. from Columbia University (1993), M.A. and Ph.D. from the Eastman School of Music (1998, 2004). Prior to Yale, he taught at the University of Chicago and University of Oregon, and was a CASBS Residential Fellow at Stanford (2008-09). His research focuses on tonal harmony, corpus studies, music cognition, and the intersections of mathematics and computation in music theory. He edited the Journal of Music Theory (2004–2011) and co-organized the 2009 Society for Mathematics and Computation in Music conference. He leads the Yale-New Haven Regular Singing (YNHRS) shape-note singing group and serves on editorial boards for Journal of Mathematics and Music and the Northeast Music Cognition Group (NEMCOG). Quinn’s work has earned awards from the Society for Music Theory, including the Emerging Scholar Award (2004) and Outstanding Publication Award (2006/2007). His research spans analytical frameworks for harmonic function, corpus-based studies of tonal systems, and empirical investigations of music perception. He has advised over 15 doctoral students, many now in academic and industry roles. Key collaborations include co-authoring the Oxford Handbook of Corpus Studies in Music (2023) and developing the Yale-Classical Archives Corpus. His work bridges theoretical, computational, and historical approaches to music analysis, with contributions to Science , Music Theory Spectrum , and Perspectives of New Music .

• Music Theory
• Harmonic Analysis
• Music Cognition
• +4 more

Anton Ehrmanntraut is a researcher at the University of Würzburg, affiliated with the Chair of Computational Philology and Modern German Literary History. His work bridges computational methods with literary and linguistic analysis. Institution: University of Würzburg Role: Researcher Location: Emil-Hilb-Weg 23, Campus Hubland Nord Contact: anton.ehrmanntraut@uni-wuerzburg.de Research Focus: Computational Linguistics Digital Humanities German Literary History Natural Language Processing Computer Science Publishing Trends: Recent publications demonstrate a dual focus: (1) advancing NLP techniques for German texts (e.g., ModernGBERT, text normalization, literary pipelines) and (2) theoretical computer science contributions to complexity classes like UP, DisjNP, and DisjCoNP.

• Computational Linguistics
• Digital Humanities
• German Literary History
• +3 more

Reynaldo Romero serves as Associate Professor in the Department of History, Humanities and Languages at the University of Houston-Downtown, where he has maintained active teaching and research since at least 2012. His academic foundation spans linguistics, public health, and translation studies across multiple institutions. His educational background includes: Ph.D. in Spanish Linguistics from Georgetown University (Dissertation: Structural Consequences of Language Shift: Judeo-Spanish in Istanbul) M.P.H. in Community Health Practice from UTHealth (Dissertation: Beliefs on COVID-19 vaccination among Hispanic day laborers) M.A. in Translation from Kent State University Multiple B.A. degrees in French, General Linguistics, and Spanish Language/Linguistics from Rice University Romero's research creates critical intersections between linguistic theory and real-world applications. His work on Spanish for the Professions establishes frameworks for medical and legal interpreting while addressing systemic language access barriers. The scholarship on endangered languages—particularly Judeo-Spanish and Afro-Hispanic varieties—combines rigorous documentation with urgent revitalization efforts. His healthcare access research directly engages Houston's linguistic minorities through community-based projects like the Medical Translation Project with HISD. Recent publications reveal three dominant trajectories: (1) advancing methodologies in Afro-Hispanic linguistics through collaborative edited volumes; (2) developing social justice frameworks for marginalized language communities; and (3) documenting endangered linguistic varieties with innovative digital approaches. These threads converge in his community-engaged scholarship that bridges academic research and practical language access solutions. Professional recognition includes: Certified Translator status from the American Translators Association Advanced Professional Analytic Linguist certification Specialized medical and legal interpreter credentials Online teaching certification with digital tools specialization Romero's grant activity demonstrates sustained commitment to practical applications of linguistic research. Current projects include 'Promoting the Critical and Responsible Use of Digital Tools and AI in Written Tasks' (2024-2025), while past work developed medical interpreter training during disaster relief and language access protocols for healthcare settings. His service learning initiatives—like the Medical Translation Project with Houston ISD—create tangible community impact while advancing pedagogical innovation. Through the Medical Translation Project and language access advocacy, Romero cultivates collaborative spaces where academic research directly serves Houston's linguistic minorities. His work with heritage speakers and endangered language communities establishes frameworks for linguistic empowerment beyond traditional academic boundaries.

• Spanish for the Professions
• Translation and Interpreting
• Language Access Policies
• +6 more