جستجوی استاد راهنمای دانشگاهی

Frances Yungمشاهده پروفایل

پژوهشگر ارشد

• Discourse Relations
• Computational Linguistics
• Natural Language Processing
• +۴ مورد دیگر

Dr. Frances Yung is a Postdoctoral Researcher at Saarland University's Department of Language Science and Technology within the Department of Computer Science. She has been affiliated with Prof. Vera Demberg's research group since April 2017 and is currently working on the DFG-funded SFB-1102 project "Information Density and Linguistic Encoding," specifically on project B2 "Cognitive modelling of information density for discourse relations." She is pursuing her habilitation, indicating career progression toward a higher academic position in the German university system. Dr. Yung's research focuses on discourse relations at the intersection of NLP, corpus linguistics, and experimental psycholinguistics. Her work explores how information density affects discourse relation marking through cognitive modeling approaches. She has developed expertise in discourse parsing, resource construction, annotation aggregation, and experimental pragmatics, with particular attention to multilingual aspects of discourse phenomena. Her research combines computational modeling with experimental methods to understand how speakers produce and comprehend discourse relations. Analysis of Dr. Yung's recent publications reveals a strong focus on discourse relation resources, particularly multilingual corpora like DiscoGeM 2.0 covering English, German, French, and Czech. Her work increasingly incorporates crowdsourcing methodologies and examines how large language models can be leveraged for discourse annotation tasks. She has made significant contributions to understanding the challenges of implicit discourse relation annotation and the biases introduced by different task designs in crowdsourcing environments. Active reviewer for major computational linguistics conferences (ACL, EMNLP, NAACL, EACL, COLING, IJCNLP) and workshops since 2016 Served as area chair for Sigdial 2024 Regular service on program committees for discourse-related workshops Dr. Yung has supervised multiple Master's theses on topics related to discourse relations, implicit relation identification, and domain adaptation. Her teaching portfolio includes courses on crowdsourcing linguistic annotations, discourse relations from cognitive and NLP perspectives, and recent advances in discourse processing. She has also served as a teaching assistant for data science and AI courses, demonstrating her commitment to interdisciplinary education at the intersection of computer science and linguistics.

Sabine Schulte im Waldeمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Processing
• Germanic Linguistics
• +۳ مورد دیگر

Sabine Schulte im Walde is an Apl. Prof. (Adjunct Professor) at the Institute for Natural Language Processing (IMS) , University of Stuttgart. Her research bridges computational linguistics and cognitive semantics, focusing on noun compounds, semantic change, and multimodal representations. Key research areas: semantic drift, compositionality, German particle verbs Instrumental in creating datasets for semantic change detection (DWUGs, DURel) Recent work explores BERT's limitations in compound semantics and cross-lingual metaphor detection She contributes to major European NLP initiatives, with publications in top venues like ACL. The IMS group specializes in language-technology intersections, managing 6 professorships, 50+ researchers, and 200+ students in NLP programs.

Annemarie Verkerkمشاهده پروفایل

استادیار

• Linguistic Typology
• Historical Linguistics
• Phylogenetic Comparative Methods
• +۷ مورد دیگر

Jun.-Prof. Dr. Annemarie Verkerk is a linguistic typologist affiliated with Saarland University's Department of Language Science and Technology. Her research focuses on corpus-based and phylogenetic methods to study language diversity, with particular expertise in Bayesian statistics, diachronic explanations for universals, and information-theoretic modeling. She leads projects like SFB 1102 (C7), investigating communicative efficiency in word order, and SocioBaGS, exploring Bantu grammatical gender systems through sociolinguistic correlates. Her work spans Indo-European, Dravidian, and Bantu languages, employing phylogenetic comparative methods to analyze topics like numeral typology, motion event encoding, and negative existentials. Key collaborations include Numeralbank and BDPROTO, databases central to her research. She has published extensively on topics such as the evolutionary dynamics of negative existentials in Indo-European, differential rates of consonant/vowel change, and the impact of non-native speakers on lexical diversity. Her projects emphasize cross-linguistic comparison, functional explanations, and computational methods. Research highlights include: Phylogenetic analysis of Dravidian language diversification Investigation of motion event encoding typology using parallel corpora Development of BDPROTO for historical phonological data Studies on sociolinguistic factors in Bantu gender systems Her work integrates historical linguistics, computational modeling, and typological analysis to address fundamental questions about language evolution and variation. Current projects emphasize interdisciplinary approaches to understanding functional and environmental pressures shaping linguistic diversity.

Erik Pulzمشاهده پروفایل

پژوهشگر ارشد

• Classics
• Latin Philology
• Greek Philology
• +۳ مورد دیگر

Erik Pulz is a Research Fellow in Latin Philology at Martin Luther University Halle-Wittenberg, where he has served since April 2017 under Prof. Dr. Rainer Jakobi's chair. He earned his doctorate (Dr. phil.) from the same institution in February 2021 and completed a visiting postdoctoral position at Stanford University (October 2022–March 2023) through a DAAD scholarship. His academic foundation includes a Bachelor of Arts (2014) and Master of Education (2016) in Classical Philology and Byzantinistics from Leipzig University. BA in Classical Philology and Byzantinistics (Leipzig, 2014) MA in Classical Philology and Byzantinistics (Leipzig, 2016) PhD in Latin Philology (Halle, 2021) Pulz's research spans Latin and Greek literature with emphasis on Roman love poetry, historiography, and digital philology. His monograph on Laevius (2023) examines early Latin erotic epigram, while his Sallust studies explore narratology and rhetorical devices in Bellum Catilinae . He investigates textual transmission in Greek tragedy (e.g., Phrynichus' Alcestis ) and contributes to digital classics through the Platon Digital project. His work consistently bridges traditional philological methods with computational approaches, particularly in Greek text processing. Analysis of his 15 most recent publications reveals three dominant research threads: (1) Latin Republican literature (Sallust, Laevius, early epigram), (2) Greek textual criticism (Euripides, Phrynichus), and (3) digital humanities applications. His output demonstrates increasing interdisciplinary engagement, with recent work combining narratology, metaleptic theory, and computational linguistics. The 2019 Platon Digital contributions highlight his expertise in corpus development and variant-sensitive text analysis. Promotionsstipendium der Studienstiftung des Deutschen Volkes (2017, declined) Fondation Hardt Scholarship for Young Researchers (2019) DAAD Post-Doc Short-Term Scholarship (2022-2023) Pulz serves as editorial staff for Forum Classicum (2021-2022) and collaborates on digital humanities initiatives like Platon Digital. His grant history shows consistent support for early-career research, including prestigious international fellowships. While no formal advisees are documented, his role as scientific staff at Halle involves mentoring junior researchers in Latin philology. Future work appears focused on completing studies of Aprissius and expanding digital text-critical methodologies. As part of the Platon Digital team at Halle, Pulz contributes to creating gold-standard parallel corpora for Platonic paraphrases. His work intersects with computational linguistics groups developing form-accurate stopword lists for Ancient Greek, demonstrating active participation in cross-disciplinary digital classics networks.

Regina Stoddenمشاهده پروفایل

پژوهشگر ارشد

• Text Simplification
• Online Participation
• Web Accessibility
• +۶ مورد دیگر

Regina Stodden is a Research Fellow at the Department of Computational Linguistics, Heinrich Heine University Düsseldorf, since January 2019. She is affiliated with the NRW Research College for Online Participation (second funding phase) and works under the supervision of Prof. Dr. Marc Ziegele. Education: B.A. in Educational Science, Text Technology, and Computational Linguistics from Bielefeld University M.A. in Information Science and Language Technology from HHU Düsseldorf Her research focuses on automatic text processing , particularly text simplification for online discussions. This includes: Enabling participation for people with limited German proficiency Reducing manual workload in text analysis Exploring accessibility in Open Data portals She has contributed to tools like TS-ANNO for corpus annotation and EASSE-DE for simplification evaluation, with recent work extending to CEFR-based language proficiency assessment . Her research intersects Natural Language Processing , Machine Learning , and Usability Studies , often addressing accessibility challenges in digital participation. Scientific awards: No explicit awards mentioned. Advising and grants: Participates in the NRW Research College for Online Participation funding program and collaborates under Prof. Dr. Laura Kallmeyer's supervision. Her work involves grants related to text simplification for online participation processes.

• Corpus architectures
• Historical corpora
• Parallel corpora
• +۵ مورد دیگر

Martin Klotz is a Researcher at the Institute for German Language and Linguistics, Humboldt University of Berlin, affiliated with the Collaborative Research Center (SFB1412) and the Research Unit for Emerging Grammars (RUEG). His work focuses on corpus linguistics, computational linguistics, and digital humanities infrastructure. He holds an MSc in Cognitive Systems (2019, University of Potsdam) and a BA in German Linguistics & Computer Science (2015, Humboldt University). Key research interests include corpus architectures, historical and parallel corpora, language modeling for non-standard varieties, and research software engineering. He contributes to projects like the RUEG corpus and FALKO learner corpus, emphasizing multilingual and multimodal corpus development. His publications span corpus design, software tools (e.g., Annatto), and analyses of heritage languages. He actively organizes academic events, such as the 2021 DGfS short working group on contrastive corpus methodology. He participates in lab collaborations like Deutsch Diachron Digital and contributes to open-source corpus tools. His work bridges computational methods with linguistic theory, focusing on dynamic language systems.

• Natural Language Processing
• Machine Translation
• Statistical Machine Translation
• +۶ مورد دیگر

Cristina España-Bonet is a researcher at the Department of Computer Science (CS) in the Polytechnic University of Catalonia (UPC), where she works in the Natural Language Processing (GPLN) group. Previously, she was affiliated with the University of Barcelona (UB) in the Department of Astronomy and Meteorology (DAM), where she completed her PhD in Cosmology. Her research spans both Natural Language Processing and Cosmology , with a strong focus on Machine Translation and Multilingual Systems . Her work in NLP includes: Statistical and Hybrid Machine Translation Document-level Translation Multilingual Information Retrieval Sign Language Translation Low-resource Language Processing She has contributed to major projects such as: OPENMT MOLTO TACARDI Wikiparable Her research has produced significant resources including: Wikipedia-based comparable corpora Hybrid translation systems for patents Stopword lists for Occitan Sign language translation systems

• Machine Translation
• Natural Language Processing
• Language Resources
• +۵ مورد دیگر

Stelios Piperidis is a prominent researcher at the Athena Research and Innovation Center, specializing in language technologies and digital language equality initiatives across European frameworks. His work spans machine translation, language resource development, and multilingual infrastructure projects including the European Language Grid (ELG), European Language Equality (ELE) program, and META-SHARE infrastructure. His research interests focus on overcoming language barriers through advanced computational methods, with particular emphasis on scientific domain machine translation , parliamentary corpus analysis , and digital language equality metrics . He has pioneered methodologies for constructing specialized parallel corpora from scientific abstracts, news metadata, and parliamentary debates, addressing challenges in domain adaptation and multilingual resource scarcity. His publication trends reveal consistent contributions to language resource standardization, metadata schemas, and European language technology policy frameworks. Recent work centers on the European Language Data Space initiative and sustainability models for digital language equality. Piperidis has played key roles in numerous European Commission-funded projects, contributing to strategic agendas for language resource coordination and technological infrastructure development. His collaborative work spans over 50 institutions across Europe, focusing on practical implementations of language technology solutions for public sector applications and academic research. He actively participates in major language resource conferences including LREC and EAMT, contributing to community-building efforts through workshop organization and editorial work. His leadership in European language technology initiatives has helped shape strategic roadmaps for achieving full digital language equality by 2030.

Thomas Krauseمشاهده پروفایل

پژوهشگر

• Corpus Linguistics
• Linguistic Annotation Tools
• Software Sustainability
• +۳ مورد دیگر

Overview Thomas Krause is a Researcher at the Institut für deutsche Sprache und Linguistik, part of the Sprach- und literaturwissenschaftliche Fakultät at Humboldt-Universität zu Berlin. His work focuses on corpus linguistics, software infrastructure for linguistic annotation, and sustainable research software development. Research & Projects Developed ANNIS , a widely used corpus search and visualization system. Co-creator of Hexatomic , an extensible annotation tool for linguistic corpora. Lead contributor to the LAUDATIO project for long-term data preservation in historical linguistics. Key Contributions His research emphasizes software sustainability, multilingual corpus infrastructure, and the integration of computational methods with linguistic analysis. Recent work addresses challenges in annotation processes, software architecture design, and cross-disciplinary collaboration.

Michele Chiariمشاهده پروفایل

پژوهشگر

• Formal Methods
• Approximate Computing
• Temporal Logic
• +۵ مورد دیگر

Michele Chiari is a researcher at TU Wien's TrustCPS group, with former affiliations at Politecnico di Milano's DEIB department. His work focuses on formal methods, temporal logic, and verification of safety-critical systems. Current affiliation: TU Wien, TrustCPS group Former affiliation: Politecnico di Milano, DEIB His research bridges temporal logic and probabilistic model checking , with innovations like Pushdown Operator Precedence Temporal Logic (POTL) for recursive program verification. Current projects include probabilistic pushdown automata verification under the MSCA PF CORPORA initiative. Articles in recent years explore signal temporal logic tableau methods , probabilistic hyperproperties for decentralized planning , and parallel parsing with operator precedence grammars . These align with his expertise in formal verification and approximate computing. Scientific awards: Best Student Paper Award at AAMAS 2025 He actively contributes to open-source tools like TAFFO for floating-point precision tuning and OPPAS for recursive probabilistic program verification. Collaborations span academic conferences (ECOOP, CAV) and H2020 projects like PIACERE.

Valia Kordoniمشاهده پروفایل

مدرس ارشد

• Computational Linguistics
• Syntax-Semantics Interface
• Grammar Engineering
• +۴ مورد دیگر

PD Dr. phil. Valia Kordoni is a Senior Lecturer in the Department of English and American Studies at Humboldt-Universität zu Berlin, part of the Faculty of Philology and Literature. She specializes in computational linguistics, syntax-semantics interface, and grammar engineering, with a focus on multiword expressions, treebanking, and language technology applications. Her work bridges theoretical linguistics and applied NLP, emphasizing register analysis and cross-linguistic methodologies. Research Interests: Her research spans computational linguistics, syntax-semantics interface, grammar engineering (e.g., DeepBank project), and register analysis. She has contributed to projects like GeRMaN (German register marking) and collaborated on international initiatives such as the CRC 1412 on language register. Her work often integrates corpus linguistics, discourse analysis, and formal grammar frameworks. Articles Trends: Recent work focuses on register variation across languages, metaphor annotation, and ethical implications of AI. Earlier contributions include studies on Germanic syntax, Greek valence alternations, and treebank construction for spoken language processing. Her publications reflect a blend of theoretical innovation and practical applications in computational linguistics. Grants and Labs: She has been involved in collaborative research centers and EU-funded projects, though specific grants are not detailed here. Her work aligns with interdisciplinary teams exploring language use in situated contexts and technological applications. Labs/Teams: Affiliated with the Department’s research initiatives on language technology and register studies, contributing to projects like the TraMOOC consortium for machine translation of educational content.

• Translation Studies
• Corpus Linguistics
• Machine Translation
• +۵ مورد دیگر

Professor Ekaterina Lapshinova-Koltunski serves as Full Professor (W3) in Multilingual Technical Specialized Communication at the University of Hildesheim since October 2022. She is affiliated with the Institute for Translation Studies & Specialized Communication within Department 3: Linguistics and Information Sciences. Previously, she held positions as Akademische Oberrätin (equivalent to Associate Professor) at Saarland University (2017-2022) and served as Interim Professor at the University of Hildesheim (2020-2021). Her educational background includes: Habilitation in Linguistics, Translation Studies and Corpus Linguistics (2016) from Saarland University PhD in Computational Linguistics (2011) from University of Stuttgart Postgraduate studies in Language Data Processing (2003-2006) from Georg August University of Göttingen Diploma in Translation, Interpreting and Intercultural Communication (1997-2002) from Volgograd State University Professor Lapshinova-Koltunski's research focuses on the intersection of translation studies, corpus linguistics, and artificial intelligence, with particular emphasis on machine translation, plain language communication, and multilingual technical communication. Her work bridges theoretical linguistics with practical applications in healthcare communication, accessibility, and translation technology. She has made significant contributions to understanding cohesion and coherence in translation, cross-linguistic variation, and the cognitive aspects of translation processes. Her recent publications (2024-2025) demonstrate a strong shift toward AI applications in translation, particularly in health communication and plain language translation. These works examine how large language models can support the creation of accessible medical information, analyze gender representation in machine translation, and develop practical frameworks for integrating AI tools into editorial workflows. Her research shows increasing focus on practical applications of translation technology to address real-world communication challenges, especially in healthcare contexts. She actively serves as a reviewer for major funding organizations including DFG and Research Foundation – Flanders, and for numerous prestigious journals and conferences in computational linguistics and translation studies. Her current grant portfolio includes: Project B7 'Translation as Rational Communication' in SFB1102 (2022-2026) 'AI-supported health communication in Plain language' funded by the Ministry of Science and Culture of Lower Saxony (May 2024-August 2025) 'Use of AI tools in intralingual translation of health communication' with Wort & Bild Verlag (October 2023-April 2024) 'Data triangulation in translation process research' startup grant from University of Hildesheim (August 2023-January 2024) Professor Lapshinova-Koltunski holds multiple administrative roles including membership in various examination committees for master's programs in International Communication and Translation, Barrier-free Communication, and Technical Communication, as well as serving on the Faculty Council and Research Committee for Department 3.

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.

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.

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