جستجوی استاد راهنمای دانشگاهی

• Discourse Analysis
• Sentence Information Structure
• Word Order
• +۷ مورد دیگر

Kateřina Rysová is a researcher at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University in Prague. Her work focuses on discourse analysis, sentence information structure, Czech word order, dependency syntax, corpus linguistics, and historical Czech studies. Key Affiliations: Charles University in Prague (ÚFAL), Institute of Czech Language (Czech Academy of Sciences), Czech-German collaborations. Research Interests: She investigates how contextual and valency factors shape Czech word order, with a focus on obligatory and free verbal modifications. Her work bridges functional generative description with empirical corpus analysis, including studies on discourse connectives (primary vs. secondary), text coherence, and older Czech syntax. Publication Trends: Her recent articles (2018–2015) emphasize discourse connectives, coherence evaluation, and Czech-German comparative syntax. Earlier works (2014–2011) explore valency-driven word order, annotation principles in the Prague Dependency Treebank, and historical Czech lexicon. Her contributions to older Czech studies include lexicographical projects like the Lexikální databáze humanistické a barokní češtiny (2010) and Elektronický slovník staré češtiny (2011). Labs & Teams: She contributes to the Prague Dependency Treebank and LINDAT/CLARIN projects, focusing on multilingual corpus annotation and computational analysis of text structure.

Andreas Megerمشاهده پروفایل

پژوهشگر

• Translation Studies
• Legal Translation
• Lexicography
• +۳ مورد دیگر

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.

• Artificial Intelligence
• Machine Learning
• Pattern Recognition
• +۳ مورد دیگر

Pietro Lovato serves as a Temporary Professor in the Department of Computer Science within the School of Science and Engineering at the University of Verona. His academic work focuses on Information Processing Systems (ING-INF/05), with active teaching responsibilities across multiple degree programs including Human Centered Medical System Engineering, Computer Science and Engineering, and Bioinformatics. Dr. Lovato's research centers on advancing beyond traditional text representation models, particularly through his BeBoW (Beyond the Bag of Words) project that examines structural and statistical perspectives in information processing. His work spans artificial intelligence, machine learning, pattern recognition, and information retrieval systems with applications in bioinformatics and medical text analysis. His research demonstrates a consistent focus on developing more sophisticated models that capture contextual and structural information beyond simple word frequency approaches. His publication record from 2010-2019 shows a progression from traditional information retrieval techniques toward more complex neural network architectures and structural analysis methods. This evolution reflects broader trends in the field moving from statistical models to deep learning approaches while maintaining a focus on practical applications in specialized domains. Dr. Lovato contributes to several research laboratories at the university including the Networked Embedded Systems (NES) Laboratory and the ALTAIR Laboratory, where his work intersects with electronic systems design and parallel computing. His teaching portfolio includes both theoretical coursework and laboratory components, indicating a hands-on approach to student education in artificial intelligence and machine learning.

• Machine Learning
• Natural Language Processing
• Artificial Intelligence
• +۳ مورد دیگر

Iacopo Ghinassi is a Visiting Professor in the School of Electronic Engineering and Computer Science at Queen Mary University of London. He specializes in machine learning and natural language processing (NLP), with a focus on text and audio segmentation, ethical AI, and language model applications. His teaching includes a postgraduate module on Machine Learning, covering pattern recognition, clustering, and neural networks. Research interests span computational linguistics, multimodal analysis, and social discourse ethics. Notable projects include MoralBERT (detecting moral values in social media and music lyrics) and audio/text segmentation techniques for podcasts and climate reports. He explores challenges in long-context language models and historical language processing via parallel corpora. Publications emphasize cross-domain neural encoder comparisons, ethical AI frameworks, and unsupervised learning approaches. His work bridges theoretical NLP advancements with practical applications in media analysis, education, and cultural heritage preservation.

Alexander Herzogمشاهده پروفایل

پژوهشگر

• Computational Social Science
• Data Science
• Political Science
• +۶ مورد دیگر

Dr. Alexander Herzog is a Researcher at the Chair of Empirical Political Science at the University of Bamberg. He holds a Ph.D. in Political Science from New York University and has held roles at the London School of Economics and Clemson University, where he contributed to Computational Social Science and Data Science education. His research focuses on computational methods for analyzing political processes, including legislative debates, coalition governments, and social media. Education: Ph.D. in Political Science (NYU), Undergraduate studies at Universities of Konstanz and Mannheim Research Interests: Computational Social Science, Machine Learning, Policy Analysis, Social Media Analysis Professional Experience: Lecturer at Clemson University, Research Fellow at LSE, Co-founder of the Social Analytics Institute His work emphasizes scalable solutions for unstructured data analysis, including parliamentary speeches and social media. He has collaborated with industry partners like Amazon and IBM through Clemson's Capstone Program. Herzog's research bridges political science and computer science, focusing on algorithmic methods for text-based political analysis.

• Natural Language Processing (NLP)
• Corpus Linguistics
• Computational Linguistics
• +۵ مورد دیگر

Hugo Sanjurjo González is an Associate Professor at the University of Deusto, based in the Department of Information, Electronics, and Communication Technologies within the Faculty of Engineering. He holds a PhD in Intelligent Systems from the University of León, awarded Summa Cum Laude for his work on corpus analysis frameworks. His teaching spans modules in Databases, NLP, Software Engineering, and Intelligent Systems, alongside workshops in Computational Linguistics. His research focuses on interdisciplinary NLP, corpus linguistics, and computational linguistics, with specializations in multilingual corpus tools, LLM integration, and semantic annotation. He has developed applications like the Hansard at Huddersfield web tool and the O-WEAA ontology-based writing assistant, aiming to democratize corpus-based methods for non-experts. His work also addresses challenges in cross-linguistic communication for professional writing, such as corporate reports and culinary menus. Key contributions include the Berri Corpus Manager (using MongoDB), the ACTRES Parallel Corpus, and tools for evaluating translations (e.g., PETRA 1.0). His publications emphasize user-centered design, genre analysis, and domain-specific CNL development, reflecting a blend of computational and linguistic innovation. Notable projects include BiTeX for recipe translation and GEDIRE for directors' reports, leveraging corpus data to bridge linguistic and cultural gaps. His work intersects with big data techniques, visualization tools (e.g., D3.js), and semantic tagging systems like USAS.

• Translation Studies
• Corpus Linguistics
• Language Teaching Methodologies
• +۵ مورد دیگر

Dr. Elżbieta Kaczmarska is a linguist and Czech scholar affiliated with the University of Warsaw since 1999, where she holds a position at the Institute of Western and Southern Slavic Studies. She has also lectured internationally at institutions in Prague, Leipzig, Olomouc, and Liberec. Her primary research focuses on translation challenges, the application of parallel corpora in research and education, and methodologies for teaching Polish as a foreign language. Additional interests include theories of teamwork and contrastive analyses of syntax, lexis, and semantics. Education: Graduate of the Institute of Western and Southern Slavic Studies at the University of Warsaw. Research Interests: Her work bridges theoretical linguistics and applied language studies, emphasizing practical applications in translation, language pedagogy, and cross-linguistic comparison. She explores how parallel corpora can enhance both academic research and real-world translation practices. Advising/Grants: No specific advising roles or grants were mentioned in the provided text. However, her involvement in EU-funded projects at the University of Warsaw indicates potential collaborative research activities. No lab affiliations or ongoing projects were detailed.

Barbara McGillivrayمشاهده پروفایل

مدرس

• Computational Linguistics
• Digital Humanities
• Semantic Change Analysis
• +۴ مورد دیگر

Dr. Barbara McGillivray is a Lecturer in Digital Humanities and Cultural Computation at King's College London, part of the Department of Digital Humanities within the Faculty of Arts & Humanities. Prior to joining King's in 2021, she was a Turing Research Fellow at the Alan Turing Institute and the University of Cambridge (2017–2021), and held roles in academic publishing at Oxford University Press and Springer Nature. She holds a PhD in Computational Linguistics from the University of Pisa (2010), alongside a Master's in Mathematics and a Bachelor's in Classics from the University of Florence. Her research focuses on computational methods applied to humanities questions, particularly semantic change analysis in ancient and contemporary texts, time-aware NLP, and open data publishing. She leads the 'Computational Humanities Research Group' and co-leads the Living with Machines project, exploring 19th-century language of technology. She is Editor-in-Chief of the Journal of Open Humanities Data and convenor of King’s MA in Digital Humanities. Research Interests : Computational models of word meaning, semantic change in ancient languages (Latin/Greek), historical texts, and contemporary data; time-aware NLP; computational lexicography; open science advocacy. Teaching : Text processing, quantitative text analysis, data visualization, Python/R programming, natural language processing, and quantitative methods in the humanities. Grants & Awards : £2M UKRI Horizon Europe funding (2025), Inter Circle U. Prize for interdisciplinary research (2022), Best Paper Award (2024) for Deep Impact: A Study on Data Papers in Humanities . Projects : COALA (Latin semantic annotation), MuseIT (multisensory cultural experiences), Living with Machines (19th-century language analysis). Collaborates internationally on semantic change, linked open data, and historical language modeling.

• Formal Methods
• Temporal Logic
• Automata Theory
• +۵ مورد دیگر

Michele Chiari is a PostDoc Researcher at TU Wien's TrustCPS Group led by Prof. Ezio Bartocci. Previously, he was a PhD candidate and PostDoc at Politecnico di Milano's DEIB in the DeepSE group. His primary affiliations include TU Wien and the TrustCPS group, with a focus on formal verification and cyber-physical systems. Education: PhD candidate and PostDoc at Politecnico di Milano's Department of Electronics, Information, and Bioengineering (DEIB). Research interests include formal methods for safety-critical systems, temporal logic, automata theory, model checking for recursive probabilistic programs, infrastructure-as-code modeling (DOML), floating-point computation verification, and approximate computing. Research highlights: Development of POTL (Probabilistic Operator Temporal Logic), model checkers for operator precedence languages (POMC), and contributions to the PIACERE and CORPORA projects. His work bridges theoretical formal methods with practical applications in software engineering and embedded systems. Key projects include leadership of the EU-funded MSCA PF CORPORA project (2023–present) and contributions to the PIACERE H2020 initiative. Collaborations include tools like TAFFO (floating-point precision tuner) and DOML (Infrastructure-as-Code modeling framework). Labs/Teams: Core member of TU Wien's TrustCPS Group and former contributor to Politecnico di Milano's DeepSE Group. Active in conferences like CAV, RV, and CAiSE, with recent service roles on OOPSLA and RV program committees.

• Linguistics
• Corpus Linguistics
• Discourse Analysis
• +۳ مورد دیگر

Maïté Dupont is a Lecturer affiliated with the Marie Haps Faculty of Translation and Interpreting Saint-Louis at Université catholique de Louvain. She is associated with multiple academic entities including the Institute of Modern Languages (ILV) and Saint-Louis Interdisciplinary Research Institute (IRIS-L). Roles: Visiting lecturer, Language teacher Contact: maite.dupont@uclouvain.be Her research focuses on contrastive linguistics , examining conjunctive markers across English and French through syntactic, lexical, and discourse perspectives. She also investigates corpus linguistics with emphasis on learner English data and register-specific patterns. Recent publications highlight her work on directional parallel corpora methodology and cross-linguistic connector placement. She contributes to digital humanities through corpus development projects like ICLEv3.

Dorota Śliwaمشاهده پروفایل

استاد

• Contrastive Linguistics
• Terminology Studies
• Corpus Linguistics
• +۵ مورد دیگر

Dorota Śliwa is a full Professor at the Institute of Linguistics, John Paul II Catholic University of Lublin. Her research spans contrastive linguistics (French-Polish), corpus analysis , terminology studies , and translation theory , with applications in legal, religious, and scientific domains. She holds editorial roles including Editor-in-Chief of Roczniki Humanistyczne and actively organizes international conferences. Research Focus: Contrastive analysis of French-Polish terminology in legal and religious texts Predicate-based semantic frameworks for corpus linguistics Word formation patterns in specialized domains (biology, law) Methodologies for bilingual corpus analysis and translation Her publications emphasize cross-linguistic equivalence in specialized terminology, with recurring themes in legal semantics, corpus-driven lexicography, and cognitive approaches to term formation. Recent work explores spatial dynamics in legal language and predicate-based meaning construction. Awards: Individual First Degree Award (2020) She leads projects on bilingual terminology and has hosted conferences like Termes et relations dans les corpus bilingues . No student advisement or lab affiliations are explicitly documented.

Patrick Gebhardمشاهده پروفایل

پژوهشگر

• Affective Computing
• Natural Language Processing
• Human-Computer Interaction
• +۳ مورد دیگر

Dr. Patrick Gebhard is a researcher at the Cognitive Assistance Systems department of the German Research Center for Artificial Intelligence (DFKI), focusing on affective computing, human-computer interaction, and psychological modeling. His work bridges computational linguistics, mental health, and wearable technologies. Key projects: UBIDENZ (digital empathetic therapy assistance), MITHOS (mixed-reality teacher training), SocialWear (interactive smart fashion), MindBot (mental health in Industry 4.0), EmmA (emotional coaching avatars). Recent research explores emotion regulation strategies, psychodynamic conflict recognition via LLMs, and multimodal sign language corpora development. Collaborates with institutions like Saarland University, contributing to conferences such as CLPsych, LREC-COLING, and ACII. Contact: Patrick.Gebhard@dfki.de

• Corpus Linguistics
• Applied Linguistics
• Discourse Analysis
• +۴ مورد دیگر

Dr Benet Vincent is an Assistant Professor in Applied Linguistics at the School of Humanities , Coventry University. He leads undergraduate modules on English, Creative Writing, and TEFL courses, focusing on discourse analysis, computer-assisted language learning, and corpus approaches to English. Vincent also teaches on the MA English Language Teaching and Applied Linguistics course, including the dissertation module. He serves as a link tutor for partner programs in Sri Lanka, ensuring quality standards in English education. Vincent's research centers on corpus linguistics applications, particularly through projects like BAWE Quicklinks (academic writing feedback), Communicating Covid (pandemic discourse analysis), and a parallel translation study of A Clockwork Orange . He coordinates Coventry's CLaC (Corpus Linguistics at Coventry) group and acts as Guest Editor for a special issue on the Language of Covid-19 in Applied Corpus Linguistics . His publication history reveals a focus on translation studies (Nadsat in A Clockwork Orange ), corpus-based EAP instruction , and linguistic analysis of institutional communication . Vincent's collaborative work spans multilingual corpora analysis, academic phraseology, and pedagogical genre implementation. He maintains active roles in professional networks like the British Association for Applied Linguistics (BAAL) and the Corpus Linguistics Special Interest Group .

Jean Nitzkeمشاهده پروفایل

دانشیار

• Post-editing Machine Translation
• Cognitive Translation Studies
• Translation Technologies
• +۱ مورد دیگر

Jean Nitzke is an Associate Professor at the Department of Foreign Languages and Translation , University of Agder, Norway. She specializes in post-editing machine translation , cognitive translation studies , and translation technologies , with a focus on specialized translation (technical, medical, business, legal domains) and AI integration in translation workflows. Current teaching: Specialised translation , Translation technologies , and Language technology & generative AI Research groups: Agder Forum for Translation Studies , Experimental linguistics Her 2025-2024 research explores low-diffusion language translation technologies , industry post-editing practices , and machine translation evaluation for under-researched pairs. Earlier works (2022-2021) analyze cognitive processes in post-editing, intralingual corpora for Easy German, and hybrid translation workflows in education. She collaborates with Silvia Hansen-Schirra , Carmen Canfora , and Katharina Oster , among others. Key 2019 publications include empirical studies on problem-solving activities in post-editing, training digital competencies via blended learning, and risk management in machine translation workflows. Her work bridges academic research and industry applications , emphasizing human-AI collaboration in translation.

• Analysis of political and media discourse
• Corpus linguistics
• Textometry
• +۶ مورد دیگر

Stéphane PATIN is a Lecturer in Spanish Linguistics at the University of Paris Cité , affiliated with the Faculty of Societies and Humanities and the UFR of Intercultural Studies of Applied Languages (EILA) . His research focuses on political/media discourse analysis , corpus linguistics , textometry , and translation studies , particularly examining governmental translations and Eurolect varieties . He also explores didactic approaches in Spanish language education. PhD in Hispanic Studies (University of Artois, 2011) Advanced Studies Diploma (University of Paris 3/Paris 8, 2004) Research Trends include: Lexicometric analysis of Spanish political speeches (1988-2003) Comparative study of European parliamentary discourses Media representation of ethnic minorities Application of textometry to bilingual parallel corpora CEFR alignment in language teaching assessments Scientific Activities involve: Co-organizing international conferences on applied linguistics Participation in projects analyzing Eurolect legal texts (Rome) and peninsular convergence toward Europe (1961-1986) Leadership roles in student tutoring, Erasmus+ mobility, and recruitment Patin contributes to editorial boards, examination juries for CAPES/Aggregation, and serves on the board of the Spanish Association of Corpus Linguistics (2015-2017). His work bridges quantitative textual analysis with cross-cultural communication , emphasizing the intersection of political language, translation dynamics, and educational applications.