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Arsen Vruyr VardanyanView profile

Lecturer

• Armenian language and speech culture
• Speech etiquette and communication skills
• Lexicology and semantics of modern Armenian
• +1 more

Arsen Vruyr Vardanyan is a Lecturer in the Department of Armenian Language at Yerevan State University’s Faculty of Armenian Philology. Since 2020 he has delivered undergraduate courses in Armenian linguistics, lexicology and literature pedagogy. In parallel, he has been active in secondary and adult education, serving as Armenian language teacher and methodological coordinator in several Yerevan schools and NGOs. Education PhD applicant, Faculty of Armenian Philology, Yerevan State University (2023 – present) Master’s degree, Department of Armenian Language, Yerevan State University (2011 – 2013) Bachelor’s degree, Faculty of Philology, Gavar State University (2007 – 2011) Research Focus His scholarly work centres on the modern Armenian language, with particular attention to speech etiquette, lexico-semantic analysis, and innovative methods of teaching Armenian language and literature. He explores how linguistic norms shape communication culture and designs pedagogical strategies that integrate interactive and interdisciplinary approaches. Recent publications reveal a dual trajectory: theoretical linguistic studies examining lexical choices in advertising discourse, and applied educational research culminating in a series of grade-level literature textbooks that are already adopted in Armenian secondary schools. Scientific & Educational Contributions Co-author of the literature textbook series "Գրականություն 7, 8, 9" (2023-2025) Participant, 38th Summer Intensive Course in Armenian Language and Culture, Venice, Italy (August 2024) Speaker, International Conference "Current Issues in the Study and Teaching of the Armenian Language", NAS RA (February 2024) Professional Service & Outreach Teacher trainer, "Hope and Future" NGO (KZNAK Foundation) – 2021-present Methodological coordinator, Global Bridge Educational Complex – 2019-present Armenian language and literature teacher, multiple secondary schools (2013-present)

Sophia AnaniadouView profile

Professor

• Natural Language Processing
• Text Mining
• Artificial Intelligence
• +9 more

Sophia Ananiadou is a Professor in the School of Computer Science at the University of Manchester , where she serves as Director of The National Centre for Text Mining (NaCTeM) , the world’s first publicly funded text mining center. She leads interdisciplinary research at the intersection of Natural Language Processing (NLP) , Artificial Intelligence (AI) , and Machine Learning , with applications spanning biomedicine , public health , environmental science , law , and social sciences . Her work emphasizes computational terminology , information extraction , and neurosymbolic methods , resulting in tools like TerMine and Acromine that are widely adopted in academia and industry. Education PhD in Computational Linguistics, UMIST DEA in Linguistics, Paris VII, Jussieu DEA in Literature, Paris IV, Sorbonne BA in Language and Linguistics, University of Athens Research Interests focus on scalable text mining solutions, including automatic term recognition , event extraction , emotion detection , and resource building . Her recent publications highlight applications in large language models (EmoLLMs) , misinformation analysis , occupational exposure annotation , and argument mining , reflecting a trajectory toward integrating Affective Computing and Generative AI into biomedical and social science domains. Scientific Awards IBM UIMA Innovation Award (3x) Daiwa Award Next Big Thing Prize (2018) Collaborations include leadership roles in the Alan Turing Institute , AIST Artificial Intelligence Research Center , and the OpenMinTed H2020 project . Her tools support organizations like NICE , Cochrane , and Pfizer , and she co-founded the ACL SIGBioMed community to advance biomedical NLP.

• Historical Linguistics
• Late Modern English
• Scottish English
• +7 more

Marina Dossena is Full Professor of English at the Department of Foreign Languages, Literatures, and Cultures at the University of Bergamo. She has held significant leadership positions including Chair of the Master's Degree in Intercultural Studies in Languages and Literatures (2015–2021), coordinator of the local unit of the Erasmus Mundus Master's Programme 'Crossways in European Humanities' (2005-2008), and director of the Department of Comparative Languages, Literatures, and Cultures (2006-2012). She currently teaches History of the English Language at the university. Professor Dossena's research focuses on Late Modern English with particular emphasis on the Scottish context. Her work spans historical linguistics, sociolinguistics, pragmatics, corpus linguistics, and digital humanities. She is currently developing the Corpus of 19th-Century Scottish Correspondence, a significant resource for historical linguistic analysis. Her scholarly interests also extend to translation studies and the representation of Scottish identity across various historical periods. Her extensive publication record demonstrates a consistent focus on Scottish language and literature from the Late Modern period through contemporary times. Key themes across her work include the construction of national identity, language ideology, historical sociolinguistics, and the relationship between language and cultural representation. Her research often bridges disciplinary boundaries, incorporating insights from literary studies, cultural history, and political discourse analysis. Professor Dossena has received recognition as an Honorary Fellow of the Association for Scottish Literary Studies since 2017. She serves as co-editor of 'Token: A Journal of English Linguistics', a Class A scholarly journal indexed in Scopus, and co-founded 'InScriptum: A Journal of Language and Literary Studies'. Her editorial work has significantly contributed to the field of English linguistics. She is actively involved in international scholarly networks, participating in CLAVIER (the International Committee of the Association for Scottish Literary Studies), the Angus McIntosh Centre for Historical Linguistics in Edinburgh, the Centre for Nineteenth-Century Studies in Durham, and the Scottish Centre for Victorian and Neo-Victorian Studies. Since 2013, she has participated in the Coruña Corpus projects and has served as Visiting Professor at the Universities of Innsbruck, Helsinki, and Complutense de Madrid. She has been invited to deliver plenary talks at major international conferences including ICEHL 15, ESSE 2014, FRLSU 2021, and the first International Symposium on Approaches to Dialects in English Literature in Salamanca.

• Computational Linguistics
• Theoretical Linguistics
• Natural Language Processing
• +3 more

Anca Dinu is a Lecturer at the Faculty of Foreign Languages, University of Bucharest, with a dual academic background in Computer Science (PhD, 2011) and Theoretical Linguistics (MSc, 2004). Her work bridges computational methods with linguistic analysis, focusing on Romanian language processing and Romance language comparisons. PhD in Computer Science (University of Bucharest, 2011) MSc in Theoretical Linguistics (Faculty of Foreign Languages, 2004) Bachelors in Mathematics and Computer Science (University of Bucharest, 2003) Bachelors in Electrical Engineering (Politechnica University, 2002) Her research spans computational linguistics, natural language processing, and historical linguistics. Key areas include collocation detection, stress assignment in Romanian, temporal text classification, and linguistic creativity assessment. She contributes to digital humanities through tools like CoToHiLi for historical linguistics. Recent publications examine large language models (LLMs) in creativity comparison with humans, automatic victim-blaming detection, and literary text analysis. Her work integrates formal semantics, syntax, and quantitative methods across 20 years of scholarly output.

Diana TrandabatView profile

Researcher

• Natural Language Processing
• Computational Linguistics
• Semantic Role Labeling
• +5 more

Diana Trandabat is a researcher in Computational Linguistics and Natural Language Processing at the Faculty of Computer Science, University Al. I. Cuza Iasi, and the Institute for Computer Science, Romanian Academy. She obtained her PhD in March 2010 with a thesis focused on Semantic Role Labelling (SRL) for Romanian language, having developed a language-independent SRL tool and applied it to various NLP processes. Her research interests span Natural Language Processing, Computational Linguistics, Semantic Role Labeling, Sentiment Analysis, Social Media Analysis, and Romanian Language Processing. She has extensive experience in developing NLP systems for Romanian language, particularly in semantic analysis, with applications in social media monitoring, medical text analysis, and educational technology. Her publication record shows a strong focus on semantic analysis, with numerous contributions to the SemEval evaluation challenges across multiple years. Her work demonstrates expertise in applying semantic role labeling to various domains including social media analysis, medical text processing, and educational applications. She has developed systems for detecting offensive language in Romanian social media, sarcasm detection, word-in-context disambiguation, and generating tests from medical reference texts. Mining Social Media to Extract Structured Knowledge through Semantic Roles (2017) Medi-Test: Generating Tests from Medical Reference Texts (2018) Special issue on the curative power of medical data (2019) Hope at SemEval-2019 task 6: Mining social media language to discover offensive language (2019) FII_CROSS at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation (2021) Detecting Offensive Language in Romanian Social Media (2022) Trandabat has been actively involved in the development of language resources for Romanian, including the COBILIRO Project for building bimodal corpora. She has also contributed to educational applications through voice-controlled games and augmented reality cooking experiences. Her work bridges theoretical NLP research with practical applications in healthcare, education, and social media analysis.

Paolo MairanoView profile

Lecturer

• English Phonetics and Phonology
• L2 Acquisition
• Speech Synthesis
• +4 more

Paolo Mairano is a Lecturer in English Phonetics at the University of Lille , affiliated with the Department of English Studies within the Faculty of Languages, Culture and Societies . He works with the UMR 8163 - Laboratory, Knowledge, Language Texts . His research interests include: Acquisition of phonetics/phonology in L2 Orthographic effects on pronunciation Prosody and rhythmic typology Speech synthesis technologies Corpus-based linguistic analysis Recent publications focus on: Italian regional consonant variation Orthographic-phonologic interactions L2 vowel category overlap metrics Rhythmic priming in speech production Gemination stability in migrant speech Prosodic effects on segmental accuracy He develops tools for: Phonetic transcription training Minimal pair analysis Emotional speech modeling

• Cognitive Linguistics
• Construction Grammar
• Polysemy and Synonymy
• +3 more

Dr hab. Daria Magdalena Bębeniec is Assistant Professor (adiunkt) in the Department of English and General Linguistics at the Faculty of Languages, Literatures and Cultures , Maria Curie-Skłodowska University, Lublin, Poland. She teaches courses in cognitive linguistics and grammar at BA and MA levels and maintains an active research profile combining corpus methods with construction-grammar approaches. Research Interests Cognitive Linguistics and Construction Grammar Polysemy, synonymy and semantic variation Corpus-based and quantitative methods in semantics Temporal and spatial semantics in Polish and English Her work often integrates advanced statistical techniques (cluster analysis, probabilistic grammar) with theoretically grounded cognitive-semantic questions, aiming to uncover usage-driven patterns in large-scale language data. Scientific Output & Trends Across her nine recent publications (2015-2025) Bębeniec explores two major strands: (1) methodological refinement in corpus-based cognitive semantics, particularly via Behavioral Profiles and clustering techniques, and (2) applied semantics at the intersection of language and law, exemplified by her collaborative analyses of Article 9 ECHR. The temporal semantics of Polish prepositions and the polysemy of Polish path constructions provide additional empirical foci, demonstrating a consistent integration of Slavic data within international theoretical debates. Professional Development & Grants She has completed specialized training at leading international centres, including: Corpus Linguistics Summer School, University of Birmingham (2016) Statistics for Linguists with R bootcamps, Université catholique de Louvain & UMCS (2017 & 2018) Digital Humanities Summer School, Pedagogical University Kraków (2015) EMCL Open Science Methods, University of Tartu (2019) These activities were supported by university grants and CLARIN-PL infrastructure, fostering both her quantitative expertise and international collaboration network. Labs & Teams Bębeniec is an active member of the Cognitive Linguistics Research Group at UMCS, where she co-organised the 2018 edition of the “Statistics for Linguists with R” bootcamp. She collaborates closely with Małgorzata Cudna on constructional polysemy studies and participates in CLARIN-PL initiatives that advance digital methods in the humanities.

• Natural Language Processing
• Computational Linguistics
• Dependency Syntax
• +5 more

Prof. Zdeněk Žabokrtský is a Professor at the Institute of Formal and Applied Linguistics (ÚFAL) within the Faculty of Mathematics and Physics at Charles University in Prague. He serves as the head of the PhD study program in Computational Linguistics and teaches several courses including Language Data Resources, Variability of Languages in Time and Space, Natural Language Processing, and Introduction to Language Technologies. His office is located in room S 409 on the 4th floor in the Lesser Town area of Prague. Prof. Žabokrtský's research spans multiple areas of Natural Language Processing and Computational Linguistics. His primary interests include building multilingual morphological resources, developing NLP applications that utilize parallel corpora, studying dependency syntax and valency frameworks, coreference resolution, theoretical studies on formal representations of natural languages, and applying Machine Learning techniques to linguistic problems. His work bridges theoretical linguistics with practical applications in language technology. Analysis of Prof. Žabokrtský's recent publications reveals a strong focus on morphological analysis, coreference resolution across multiple languages, and cross-lingual NLP. His research spans diverse languages including Czech, Turkish, Russian, and various Indic languages. He has made significant contributions to morphological resources, word-formation networks, and multilingual coreference systems, often creating and utilizing linguistic resources while developing novel computational approaches to linguistic phenomena. As an academic leader, Prof. Žabokrtský has supervised numerous PhD students and contributed to major research projects at the Institute of Formal and Applied Linguistics. His work has been supported by various grants that have enabled the development of important linguistic resources and NLP tools. He has been instrumental in establishing the PhD study program in Computational Linguistics at Charles University. Prof. Žabokrtský is a key member of the Institute of Formal and Applied Linguistics research teams, contributing to projects focused on developing language technologies, creating linguistic resources, and advancing theoretical understanding of natural language processing. His work is closely integrated with the Prague Dependency Treebank project and other major linguistic resources developed at Charles University.

Milan StrakaView profile

Professor

• Machine Learning
• Artificial Neural Networks
• Deep Learning
• +12 more

Milan Straka is a professor at the Institute of Formal and Applied Linguistics (ÚFAL) within the Faculty of Mathematics and Physics at Charles University, Prague. His research focuses on machine learning, artificial neural networks, deep learning, and structured prediction with applications to natural language processing (NLP) tasks including POS tagging, dependency parsing, named entity recognition, and optical music recognition. University: Charles University School: Faculty of Mathematics and Physics Department: Institute of Formal and Applied Linguistics Straka has developed several NLP tools like UDPipe and NameTag, contributing to multilingual coreference resolution, Czech grammar error correction, and historical language processing pipelines. His recent work involves contextualized embeddings, semantic parsing, and large-scale dataset creation for Czech NLP tasks. He collaborates on European Language Grid initiatives and has participated in multiple shared tasks (CRAC, MRP, W-NUT). His publications span topics from algorithm design (functional data structures) to modern transformer-based language models (RoBERTa) with emphasis on Czech language resources.

• Word-formation
• Derivational morphology
• Morphological segmentation
• +5 more

Associate Professor Magda Ševčíková is a prominent linguist at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University in Prague. She specializes in morphological research with a focus on Czech language, particularly in word-formation, derivational morphology, and morphological segmentation. Her work bridges theoretical linguistics with computational approaches, making significant contributions to language resource development. Dr. Ševčíková's educational background includes a Ph.D. in Mathematical Linguistics (2009) and an Mgr. in Czech and German Philology (2004), both from Charles University. Her habilitation in Linguistics was completed in 2025 with a thesis on conversion between noun and verb in Czech. Her research interests center on word-formation phenomena, particularly conversion processes, derivational morphology of Czech, morphological segmentation, dependency syntax, and named entity recognition. Her publication record reveals a strong focus on data-driven morphological research, with recent work emphasizing corpus-based analysis of noun-verb conversion, derivational networks (particularly DeriNet), and cross-linguistic comparisons of morphological structures. She has pioneered methods for modeling morphographemic alternations and semi-automatic construction of word-formation networks. Dr. Ševčíková has served in significant academic roles including chair of the Czech Science Foundation's evaluation panel for Linguistics and Literature (2023-2025), member of the discipline committee for Social Sciences and Humanities, and Scientific Committee member for the Language Resources and Evaluation Conference. She has led multiple Czech Science Foundation projects on Czech word-formation and morphology. She actively contributes to major linguistic projects including DeriNet (a lexical network of Czech derived words), Universal Derivations collection, Universal Segmentations project, and the Czech Named Entity Corpus. Her work has established important language resources that support both theoretical linguistic research and practical NLP applications.

Matías Guzmán NaranjoView profile

Associate Professor

• Morphology
• Typology
• Corpus Linguistics
• +4 more

Matías Guzmán Naranjo is an Associate Professor at the University of Bergen and a computational typologist at the University of Freiburg. His research bridges morphology, typology, and computational linguistics, with a focus on formalizing analogy in HPSG/CxG frameworks and developing Bayesian models for spatial typology. Education : PhD in Linguistics from Leipzig Research Interests Quantitative Morphology Computational Typology HPSG and Construction Grammar Bayesian Modeling of Spatial Phenomena Publication Trends include spatial modeling of language contact, quantitative morphology, and computational methods in typology. His recent work addresses challenges in modeling dialectal variation and missing data in geographic linguistics. Teaching includes courses at the University of Tübingen, Université de Paris, and University of Düsseldorf on Bayesian statistics, HPSG, and typological fundamentals. Supervision involves ongoing PhD mentoring of I-Ying Lin and Marvin Martiny. Software Contributions include Analogy-based Morphology in TRALE , Paradigma for morphological analysis, and RcppGuile for extending R with Scheme.

Andreas MegerView profile

Researcher

• Translation Studies
• Legal Translation
• Lexicography
• +3 more

Dr. phil. Andreas Meger is an academic researcher at the Polish Department of Johannes Gutenberg University Mainz's Faculty of Translation, Linguistics and Cultural Studies . With a career spanning over two decades, he combines freelance translation with academic contributions to legal translation, lexicography, and corpus linguistics. Studied Applied Linguistics and Cultural Studies (1993–1999) Freelance translator since 1999 Academic staff since 2010 Research Focus : His work centers on Polish-German translation dynamics , particularly in legal contexts and neologism integration. He has developed parallel corpora and dictionaries to bridge linguistic gaps, emphasizing historical evolution and digital accessibility. The PolGerCorp project (2018–2021) exemplifies his commitment to creating multilingual resources, while earlier work (2002–2007) on neologism dictionaries documents post-communist linguistic shifts. Publications reflect his expertise in corpus design, legal text analysis, and lexicography. He has co-authored foundational works like the Polish-German Dictionary of Neologisms and contributed to specialized language teaching frameworks.

Sze Yim Binh FelixView profile

Associate Professor

• Sign Language Documentation
• Sign Language Typology
• Information Structure
• +7 more

Prof. Felix Sze (Sze Yim Binh) is an Associate Professor at the Department of Linguistics and Modern Languages , The Chinese University of Hong Kong . She holds a PhD in Linguistics from the University of Bristol and has been a leading figure in sign language research and Deaf community empowerment in the Asia-Pacific region. Education: BA & MPhil from CUHK, PhD from University of Bristol Her research focuses on sign language documentation (Hong Kong, Macau, Sri Lankan, Indonesian, Japanese varieties) and linguistics analysis of grammatical structures including word order and non-manual markers. She specializes in bimodal-bilingual acquisition by deaf/hard-of-hearing children in Cantonese and Hong Kong Sign Language, developing assessment tools like the HKSL Sentence Repetition Test . She also investigates sign language's cognitive benefits for hearing infants and elderly populations. Prof. Sze's recent publications analyze polar questions and negation markers, word order typology, and interpretation training frameworks. She leads major projects like the Hong Kong Sign Language Browser and Asian SignBank , creating educational resources for Deaf communities including sex education and medical terminology databases. Her work combines rigorous sign language corpus development with practical applications in education, healthcare, and technology, including AI-driven sign recognition systems like SignTown . She has presented at major international conferences including TISLR, Sign Language Acquisition Conference, and World Federation of the Deaf Congress.

Henning RadkeView profile

Lecturer

• German as a Foreign Language
• Sociolinguistics
• Language Contact
• +6 more

Henning Radke is a Lecturer at the University of Amsterdam (UvA), Faculty of Humanities, Department of German and Scandinavian Languages & Cultures. He works half-time for UvA teaching German as a foreign language and sociolinguistics, while also serving at the Germany Desk of the Duitsland Instituut Amsterdam (DIA), where he promotes Dutch-German academic exchange through scholarships and outreach programs. MA in European Languages (2013), Freie Universität Berlin BA in Dutch Philology and Communication Science (2010), Freie Universität Berlin His research focuses on multilingualism, language contact, and computer-mediated communication (CMC), particularly in diasporic contexts like the German-Namibian community. He investigates code-switching, non-standard varieties like Namdeutsch, and the role of digital platforms in preserving and evolving linguistic practices. His work spans Suriname, South Africa, and Ukraine, examining how language variation manifests across urban/rural and digital/face-to-face communication modes. Notable projects include the PHF teaching method (project-based learning, hybrid formats, flipped classroom) and studies on diaspora communities in Namibia and Suriname. He employs mixed-method approaches combining participant observation and CMC data analysis to explore sociolinguistic dynamics. DIA Scholarship Program development Student ambassador initiatives Preparatory workshops for Dutch students in Germany Henning also contributes to digital material development for German language education and is currently preparing a dissertation on German language variation in Namibia.

• Applied Linguistics
• Scientific Writing Education
• English for Academic Purposes
• +3 more

Dr. Peter Wingrove is a Research Fellow at Chalmers University of Technology in the Department of Technical Language and Communication. As an applied linguist, he specializes in scientific writing education, English for Academic Purposes (EAP), and English-Medium Instruction (EMI) in higher education contexts. His research integrates quantitative and qualitative methodologies to examine how language policies and pedagogical approaches shape academic communication across Europe and globally. Wingrove's primary research explores the sociolinguistic dimensions of EMI implementation, language policy decision-making, and equity issues in educational access. His interdisciplinary work investigates: The relationship between institutional autonomy and EMI adoption Gender disparities in English-education access Critical discourse analysis of language policy conflicts Transdisciplinary approaches to linguistic research His publication portfolio demonstrates consistent focus on EMI's global spread, with recent works examining measurement validity, policy drivers, and social justice implications. Articles frequently employ mixed methods including corpus linguistics, process tracing, and critical discourse analysis, reflecting sustained engagement with both theoretical and applied dimensions of academic communication. Wingrove leads the 'Multi-Genre Pedagogy' project (2025-2028) and collaborates on pan-European research initiatives. His work involves extensive interdisciplinary partnerships addressing language policy, pedagogical innovation, and equity in higher education systems.