جستجوی استاد راهنمای دانشگاهی

Sarah Eblingمشاهده پروفایل

استاد

• Computational Linguistics
• Assistive Technologies
• Sign Language Technologies
• +۷ مورد دیگر

Sarah Ebling is a Full Professor of Language, Technology and Accessibility at the University of Zurich's Faculty of Arts and Social Sciences. She leads the Language, Technology and Accessibility research group within the Institute for Computational Linguistics. Her work focuses on computational linguistics applications for assistive technologies targeting disabilities such as hearing impairments, visual impairments, and cognitive disorders. Key areas include sign language technologies, automatic text simplification, and audio description systems. She directs the large-scale Swiss innovation project 'Inclusive Information and Communication Technologies' (2022-2026, CHF12 million budget) and collaborates on EU H2020 and SNSF Sinergia projects. Education: Holds a doctoral degree (summa cum laude, 2016) from the University of Zurich with research on automatic translation to Swiss German Sign Language. Completed studies in German Linguistics, Computational Linguistics, and English Linguistics at Universities of Zurich and Heidelberg, with research stays in Dublin, Chicago, and Rochester. Research emphasizes multimodal accessibility solutions, including sign language fluency assessment, gesture-based interaction, and AI-driven text adaptation. Current projects explore audio description translation systems (SwissADT), sign language corpus development (SwissSLi), and digital tools for comprehensibility assessment in simplified texts. Her work bridges computational linguistics with ethical considerations in assistive technology deployment. Grants and Leadership: Principal Investigator on major accessibility-focused grants, including the CHF12M Swiss innovation project. Supervises PhD candidates in areas like sign language assessment tools and text simplification algorithms. Active in international collaborations, publishing extensively in computational linguistics and accessibility journals/conferences. Technology Development: Created the 'DigiSpon' benchmark for language sample analysis and developed open-source tools for sign language translation baselines. Her team's innovations include the SignCLIP model connecting text and sign language via contrastive learning, and pose estimation frameworks for sign language recognition.

• Corpus Linguistics
• Applied Linguistics
• Theoretical Linguistics
• +۳ مورد دیگر

Professor Tony McEnery is a Distinguished Professor of English Language and Linguistics at Lancaster University, where he has held various senior roles, including Dean of the Faculty of Arts and Social Sciences (2008–2014) and Head of the Department of Linguistics and English Language (2000–2005). His research focuses on corpus linguistics, applied linguistics, and sociolinguistics, with notable contributions to corpus-based analyses of historical medical discourse, media representation of Islam, and swearing in English. He has led major research projects, including the ESRC Centre for Corpus Approaches to Social Science (CASS) and the Trinity Lancaster Corpus. McEnery has secured over £10 million in research funding and holds visiting professorships at institutions worldwide, including Zhejiang University of Media and Communications and Shanghai International Studies University. He is a Fellow of the Academy of Social Sciences, Trinity College London, and the Royal Society for the Arts. Education: No explicit details provided, but his career trajectory implies advanced degrees in linguistics. Research Interests: Corpus linguistics applications in theoretical and applied linguistics, historical language analysis, and language as a socially situated phenomenon. McEnery’s work extends to interdisciplinary collaborations, including projects with the Environment Agency and the Home Office. His teaching includes summer schools in corpus linguistics and a Futurelearn MOOC, reaching tens of thousands globally. He advises on research funding for international bodies like the Irish Research Council and the Qatar National Research Foundation. Grants and Awards: Queen’s Anniversary Prize (2015), Changjiang Chair (2021), and multiple fellowships. Current grants include the Lancaster-Northern Arizona corpus and the Trinity Lancaster Corpus projects. Advising and Labs: Supervises postgraduate students in linguistics and collaborates with teams like the ESRC CASS Centre and UCREL (University Centre for Computer Corpus Research on Language).

• Central Asian Studies
• Iranian Studies
• Ethnography
• +۳ مورد دیگر

PD Dr. Lutz Rzehak is an academic staff member at the Institute for Asian and African Studies (IAAW) within the Faculty of Humanities at Humboldt University of Berlin, serving as a Teacher for special tasks specializing in Modern Iranian languages and the ethnography and cultural history of Afghanistan and Central Asia. His educational background includes: Oriental Studies/History from the State University of Leningrad (1985) Doctorate in Iranian Studies, Humboldt University of Berlin (1991) Habilitation in Central Asian Studies / Iranian Studies, Humboldt University of Berlin (2001) Dr. Rzehak's research spans Central Asian Studies , Iranian Studies , Ethnography , and Linguistics , with fieldwork focusing on Baloch, Pashtun, and Tajik communities. His work examines language evolution, social structures, and cultural practices through historical and contemporary lenses, particularly regarding Soviet influence and post-Taliban Afghanistan. Key contributions include grammatical analyses of Iranian languages and ethnographic studies of religious rituals and tribal systems. His recent publications (2016-2021) reveal consistent focus on Iranian language dynamics (especially Dari and Pashto), ethnic identity politics in Afghanistan, and cultural history of Central Asia. These works address language change mechanisms, ethnic consolidation strategies, and the interplay between tradition and modernity, often utilizing comparative linguistic and ethnographic methodologies. His scientific awards include: Heisenberg Fellow of the German Research Foundation Dr. Rzehak has held significant research positions including Research Associate in the Crossroads Asia Competence Network (2011-2016) and Heisenberg Fellow (2002-2011). While his CV does not list formal PhD advisees, his language lecturing and research supervision have mentored numerous students in Central Asian and Iranian studies through course instruction and fieldwork guidance. He has been actively involved in the Crossroads Asia Competence Network, a major interdisciplinary research initiative examining transregional connections and historical trajectories across Central, South, and West Asia.

• Corpus Linguistics
• Learner Corpora
• Translation Studies
• +۱۰ مورد دیگر

Assoc. Prof. Dr. Ali Şükrü Özbay currently serves as an Associate Professor at Karadeniz Technical University's Faculty of Arts, Department of English Language and Literature. He earned his PhD and MA in Applied Linguistics from Karadeniz Technical University and holds a BA in English Language and Literature from Ankara University. Education : PhD (2015) and MA (2004) from Karadeniz Technical University; BA (1996) from Ankara University Dr. Özbay's research focuses on Corpus Linguistics , Learner Corpora , Academic Writing , Translation Studies , and Language Pedagogy . His work investigates lexical bundles, support verb constructions, and pragmatic markers through computational corpus analysis. Recent publications analyze four-word recurrent expressions in educational technology contexts, collocational priming in Turkish EFL learners' mental lexicon, and semantic prosody of intensifiers in academic corpora. He supervises theses on data-driven learning applications and corpus-based teaching materials. Dr. Özbay has held managerial roles including Deputy Head of Department (2019–present) and Assistant Coordinator for Erasmus+ programs (2017–2021). He actively participates in international conferences and has published in journals like Turkish Studies , Australian Journal of Applied Linguistics , and Hacettepe Eğitim Dergisi .

• Foreign Language Education
• Second Language Acquisition
• Corpus Linguistics
• +۳ مورد دیگر

Randy Fred Appel is an Associate Professor at Waseda University's Global Education Center, with a PhD in Education (Applied Linguistics) from Concordia University. His academic career includes prior roles as Assistant Professor at Waseda University (2017-2021), Research Assistant at Concordia University (2014), and teaching positions at Concordia, Carleton University, and Algonquin College. Education: PhD (2017) and MA (2011) in Applied Linguistics from Concordia and Carleton Universities, respectively. Appel's research focuses on L2 English academic writing, corpus linguistics, formulaic sequences, and L1-related differences. His work examines lexical bundles, linking adverbials, and metadiscourse features in cross-linguistic contexts, with applications in language assessment and pedagogy. Recent projects include analyzing French for Academic Purposes assessments and developing automated measures for lexical sophistication in writing tasks. His publications span journals like English for Specific Purposes , System , and Journal of English for Academic Purposes , with a 2025 paper on interactional metadiscourse in business writing and 2023 studies on linking adverbials across Asian learner groups. He has received significant funding, including a Japan Society for the Promotion of Science Grant-in-Aid for Early-Career Scientists (2020-2022). Scientific Awards: SSHRC Doctoral Fellowship (2014), Concordia Graduate Fellowship (2012), Ontario Graduate Scholarship (2009) Appel has contributed to curriculum development through syllabi for Academic Writing and Discussion in English courses at Waseda's Global Education Center (2025). He actively participates in academic conferences, including the Language Testing Research Colloquium (2022) and Asia TEFL Conference (2019). His service includes peer reviewing for journals like System and International Journal of Business Governance and Ethics .

Haiyang Aiمشاهده پروفایل

دانشیار

• Corpus Linguistics
• Natural Language Processing
• Second Language Acquisition
• +۳ مورد دیگر

Haiyang Ai is an Associate Professor in the Literacy and Second Language Studies program at the University of Cincinnati's School of Education. His research applies corpus linguistics and natural language processing to investigate second language acquisition, writing complexity, and bilingual language processing. His educational background includes a Ph.D. in Applied Linguistics from The Pennsylvania State University (2015), an M.A. in Linguistics & Applied Linguistics from the University of Chinese Academy of Sciences (2006), and a B.A. in English from Shaanxi Normal University (2003). Dr. Ai's research spans corpus linguistics, natural language processing, second language acquisition, and computer-assisted language learning. He specializes in compiling and analyzing native and learner corpora to develop intelligent language learning systems and investigate lexical/syntactic complexity in L2 writing. His methodological approach integrates computational tools with theoretical linguistics to address practical language teaching challenges. His recent publications (2019-2023) demonstrate consistent focus on lexical bundles in professional communication, automating complexity measurement in Chinese, speech perception mechanisms in bilinguals, and grammatical puzzles in English learning. These works bridge corpus-based analysis with psycholinguistic experimentation across diverse subfields including morphosyntax, pragmatic competence, and cognitive processing in L2 acquisition. Dr. Ai has secured multiple University of Cincinnati grants including three CECH Faculty Development Grants ($2500 in 2017-2018 for verb-noun collocation research, $2000 in 2016-2017 for corrective feedback tools) and the NCFDD Faculty Success Program ($3250 in 2017), all supporting his development of computational language learning resources.

Ying Wangمشاهده پروفایل

دانشیار

• English for academic purposes
• Applied corpus linguistics
• Second language writing
• +۴ مورد دیگر

Ying Wang is an Associate Professor in English linguistics at Karlstad University since 2020, specializing in English for academic purposes, applied corpus linguistics, and second language writing. She holds a PhD from Uppsala University (2013) and has taught courses at both undergraduate and graduate levels focusing on academic writing, second language pedagogy, and corpus methodology. Her research explores rhetorical structures in disciplinary genres, evaluative language resources, and the impact of extramural English activities on L2 writing development. Notable projects include the Swedish Learner English Corpus (SLEC) initiative and analyses of predatory publishing practices in political science. She has also examined government communication strategies during the UK's COVID-19 pandemic response through corpus-assisted discourse studies. Key research contributions span formulaic language use in ELF contexts, methodological innovations in corpus linguistics, and linguistic comparisons between well-established and predatory journals. Her work bridges theoretical linguistics with practical applications in education and scholarly publishing ethics. Publications span prestigious journals like English for Specific Purposes , Text & Talk , and Journal of Second Language Writing , reflecting her interdisciplinary approach to language studies. Current projects emphasize corpus-driven research on academic communication practices and their pedagogical implications.

Li Nguyenمشاهده پروفایل

استادیار

• Language variation and change
• Contact linguistics
• Computational sociolinguistics
• +۴ مورد دیگر

Li Nguyen is an Assistant Professor of Linguistics and Multilingual Studies at Nanyang Technological University (NTU), Singapore . Their work bridges linguistics with computational approaches, focusing on language variation, contact phenomena, and multilingual NLP. Education: PhD in Linguistics (University of Cambridge), Master’s in General and Applied Linguistics (Australian National University) Research interests include: Language variation and change in multilingual/diasporic communities Computational sociolinguistics and NLP for low-resource varieties Syntax-pragmatic interface in bicultural contexts Code-switching and heritage language documentation Recent publications highlight collaborations on Vietnamese-English and other code-switched language pairs, with a focus on NLP applications and corpus-based analysis. Their work has gained recognition through grants like the NTU Start-up Grant and Cambridge Language Sciences funding . Scientific awards: Cambridge International Scholarship, Philological Society Fieldwork Grant Li Nguyen actively collaborates on projects involving sociolinguistically informed NLP and community-driven language documentation. They have contributed to the development of the CanVEC corpus for Vietnamese-English speech research.

Kazumi Matsumotoمشاهده پروفایل

دانشیار

• Fluency in Second Language Learners
• Second Language Writing
• Intercultural Competence of Second Language Learners

Kazumi Matsumoto serves as Associate Professor of Japanese within the Department of Modern Languages and Classics at Ball State University's College of Sciences and Humanities. Her academic profile centers on empirical research in second language acquisition with specialized focus on Japanese language pedagogy and learner performance metrics. Her educational credentials include: Ph.D. in Applied Linguistics (Japanese), Purdue University (2010) Dr. Matsumoto's research program investigates fluency development , second language writing , and intercultural competence through rigorous quantitative methodologies. She pioneered the application of computational tools like the Fluency Calculator to objectively measure oral production characteristics, challenging traditional subjective fluency assessments. Her scholarly trajectory reveals evolving methodological sophistication—from early kanji recognition studies examining L1 transfer effects to current corpus-based analyses of oral dysfluency patterns across proficiency levels. This progression demonstrates consistent commitment to objective measurement in second language performance, particularly through computational analysis of learner corpora and tool development for fluency assessment. Dr. Matsumoto's advising activities and grant funding details are not specified in available institutional materials.

Zheng Yuanمشاهده پروفایل

مدرس ارشد

• Educational Technology
• Language Acquisition
• Multilingual NLP
• +۳ مورد دیگر

Dr. Zheng Yuan is a Senior Lecturer (Associate Professor) in Natural Language Processing at the School of Computer Science, University of Sheffield. He holds affiliated positions at the University of Cambridge and King's College London, and is a Fellow of Trinity College, Cambridge. His research focuses on NLP applications in education, healthcare, and multilingual systems. Education: PhD in Natural Language Processing, University of Cambridge MPhil in Advanced Computer Science, University of Cambridge BSc(Eng) from Queen Mary University of London Research: Dr. Yuan's work spans educational NLP, multilingual systems under low-resource conditions, and explainable machine learning. His group develops technologies for grammatical error correction, automated assessment, and cross-lingual applications, with significant contributions to computer-assisted language learning and computational creativity. Publications: Recent works (2023-2025) demonstrate strong focus on educational NLP, multilingual systems, and LLM evaluation. Key themes include grammatical error correction for code-switched languages, creativity assessment frameworks, and robust evaluation methods for large language models across diverse linguistic contexts. Awards: Winning systems at SemEval-2021 and CoNLL-2014 Fellowship at Trinity College Cambridge Fellow of Higher Education Academy Grants & Advising: Principal Investigator for Royal Society grant 'Large Language Models as Agents for Intelligent Language Tutoring' (2025-2027). Actively supervises PhD students in NLP and machine learning, welcoming new research collaborations. Affiliations: Member of Alan Turing Institute (Data-Centric Engineering), King's Institute for AI, and ACL committees. Organizes major NLP workshops including ACL/NAACL BEA workshops and AIED tutorials.

• Corpus Linguistics
• Vocabulary
• Language Testing
• +۷ مورد دیگر

Raffaella Bottini is a Lecturer in Corpus Linguistics at the School of Social Sciences, Lancaster University . She completed her PhD at the ESRC Centre for Corpus Approaches to Social Science (CASS), with prior academic training including an MA in Applied Linguistics (King's College London) and an MA in English Language and Literary Studies (Università degli Studi di Milano, Italy). Research Interests: Her work centers on applying corpus linguistics to language testing and second language acquisition, with a focus on lexical complexity and statistical analysis of learner corpora. She develops quantitative methods and automatic tools for analyzing vocabulary use across proficiency levels in spoken exams (e.g., the Trinity Lancaster Corpus). Her research expands into register analysis, data visualization, and pedagogical applications. Teaching: Bottini leads courses on corpus design, statistics, and vocabulary analysis in Lancaster's distance MA programs in Corpus Linguistics and TESOL. She also contributes to undergraduate modules on corpus-based English studies and summer schools in corpus linguistics. Scientific Awards: PhD Research Award PhD Students: Reem Alojaimi Chris Ott Projects: Includes "Linguistic demands of EMI in Higher Education" (2022-2025), analyzing EMI contexts in China, Italy, and Thailand, and participation in "Culture and Communication: Global Perspectives" and the LAEL-China Network.

• Applied English Linguistics
• Corpus Linguistics
• Discourse Analysis
• +۵ مورد دیگر

Christine S. Sing is a linguist and educator affiliated with the Department of English Studies at the University of Siegen, Germany. She holds a PhD from the University of Regensburg, focusing on American presidential rhetoric and ideological discourse. Her research integrates discourse analysis, corpus linguistics, and cognitive linguistics, with specialization in ESP (English for Specific Purposes), second language writing, and business communication. She has taught at multiple institutions, including the Universities of Vienna, Giessen, and Heidelberg, as well as the Vienna University of Economics and Business. Her ongoing post-doctoral project examines technicality in L2 student writing through corpus and qualitative analysis. Key research areas include Systemic Functional Linguistics (SFL), critical discourse analysis (CDA), and the role of English as an international lingua franca (ELF). She actively publishes on topics such as multimodal discourse analysis, academic writing pedagogy, and the intersection of business communication and multilingualism. Education: PhD in Linguistics, University of Regensburg Masters in General Linguistics, University of Poitiers Undergraduate Studies in English/French/German, University of Heidelberg Her teaching spans courses on corpus linguistics, discourse analysis, business English, and academic writing. She has contributed to interdisciplinary research projects, including the DFG-funded 'Cultures of Lying' at the University of Regensburg.

Stefania Spinaمشاهده پروفایل

استاد

• Corpus Linguistics
• Linguistics
• Glottology
• +۱۲ مورد دیگر

Stefania Spina is a Full Professor of Glottology and Linguistics at the University of Perugia for Foreigners, affiliated with the Department of Italian Language, Literature, and Arts in the World (LILAIM). She has held this position since August 1, 2020, and is actively engaged in research, teaching, and academic leadership. Her work focuses on corpus-based linguistic analysis, particularly in the context of Italian as a second language. Her research interests include corpus linguistics, second language acquisition, learner corpus development, phraseology, discourse analysis of media and academic texts, text complexity assessment, and computational processing of linguistic data. She has created several influential linguistic resources, such as the Perugia Corpus, Corpus of Spoken Italian (CIP), and learner corpora including LOCCLI, COLI, and CELI. She also developed MALT-IT2, a web tool for automated text difficulty classification aligned with CEFR levels. Her recent publications reflect a strong engagement with contemporary language trends, digital humanities, and media discourse. Topics include the lexical impact of AI, metaphor in political journalism, and the evolution of public language. A central theme across her work is the application of corpus methods to understand how language functions in educational, media, and technological contexts. She is the principal investigator of the PRIN 2022 project DICI-A, which aims to build a digital collocation dictionary for Italian L2 learners, in collaboration with computer scientists. Her teaching portfolio includes courses in sociolinguistics of new media, corpus linguistics, and digital humanities. She maintains an active public intellectual presence through her blog (now hosted on Substack) and social media. Email: stefania.spina@unistrapg.it Twitter: @sspina She supervises academic projects and leads research teams but no individual students are named in the provided texts. There are no mentions of scientific awards or grants beyond the PRIN project. She works in digital environments, utilizing tools like Python and AI for linguistic analysis, and contributes to the development of language technologies for education and research.

Selcen Erten Johanssonمشاهده پروفایل

پژوهشگر

• Corpus Linguistics
• Media Discourse Analysis
• Turkish Web Registers
• +۳ مورد دیگر

Selcen Erten Johansson is a Doctoral Researcher in Digital Language Studies at the University of Turku, focusing on corpus linguistics and media discourse analysis. Her research examines Turkish web registers in the context of political events, such as Finland's NATO membership process in Turkish media. Supported by the Eino Jutikkala Fund (2024–2026), her work bridges computational methods with sociolinguistic inquiry. She holds a Master's in Linguistics from Mersin University (2019) and has been a Fulbright scholar in the U.S. Her teaching spans corpus linguistics, language technology, and Turkish as a foreign language at institutions including Turun Suomenkielinen Työväenopisto and Toros University. Education: PhD Candidate in Digital Linguistics, University of Turku (2021–present) Master's in Linguistics, Mersin University, Türkiye (2019) Fulbright Scholarship, Michigan State University (2015–2016) Research Interests: Selcen explores language variation in digital contexts, particularly Turkish web-based discourse. She combines corpus linguistics with computational tools to analyze political media narratives and multilingual web registers. Her work emphasizes the intersection of technology and sociolinguistics, including projects like TurCORE and collaborations with the TurkuNLP research team. She also investigates pedagogical approaches for teaching Turkish and Finnish as foreign languages. Grants & Support: Eino Jutikkala Fund Grant (2024–2026), Finnish Academy of Science and Letters Teaching & Outreach: She has taught courses on corpus linguistics, automatic text processing, and Turkish language instruction across multiple institutions. Her teaching philosophy integrates digital tools with traditional language pedagogy. Labs & Teams: Active member of the TurkuNLP research team, focusing on NLP applications in digital humanities and multilingual corpora analysis.

Laura Dominguezمشاهده پروفایل

استاد

• Formal Second Language Acquisition
• Bilingualism
• Native Language Attrition
• +۸ مورد دیگر

Professor Laura Dominguez holds a Professorship in Linguistics at the University of Southampton's Department of Modern Languages and Linguistics. She serves as Head of Department (2021-2025), REF Champion for Impact, and has held roles including Deputy Head of Department and Head of Research. Her research focuses on formal second language acquisition, bilingualism, native language attrition, and syntactic theory within a generative framework. Key projects include the ESRC-funded SPLLOC corpus initiative and an AHRC project on grammatical attrition. Her research investigates prosodic/syntactic constraints in Spanish word order, L2 acquisition of tense-aspect morphology, and L1 attrition mechanisms in bilinguals. She leads editorial boards for journals like Second Language Research and Spanish Heritage Journal , and holds roles in professional bodies including the ESRC Peer Review College and EuroSLA Executive Committee. Current research emphasizes syntax-theory integration with acquisition studies, leveraging experimental and corpus-based methods. She supervises multiple PhD students in Applied Linguistics and Modern Languages, and accepts new PhD applications. Her work bridges theoretical linguistics with empirical studies of multilingual development.