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Roberto Navigli is a Full Professor in the Department of Computer, Control and Management Engineering at Sapienza University of Rome, where he leads the Sapienza NLP Group. He has held academic positions at Sapienza since 2007, progressing from Researcher to Associate Professor, and now Full Professor. Navigli is internationally recognized for his groundbreaking work in multilingual natural language processing and computational semantics. His research spans multiple areas within Natural Language Processing, with a particular focus on multilinguality , lexical semantics (Word Sense Disambiguation and induction), sentence-level semantics (Semantic Role Labeling and Semantic Parsing), and Large Language Models . As the leader of the Minerva LLM project, he pioneered the development of the first pretrained LLM in Italian. His creation of BabelNet, the largest multilingual encyclopedic computational dictionary covering 271 languages and about 14 million concepts, represents a landmark achievement in computational linguistics. Professor Navigli's recent publications demonstrate a strong focus on advancing multilingual capabilities of language models, addressing challenges in semantic understanding across languages, and developing robust evaluation frameworks. His work on Italian LLM optimization, lexical ambiguity in machine translation, and cross-lingual safety gaps reflects his commitment to building more accurate and reliable language technologies that work effectively across diverse linguistic contexts. AAAI Fellow (2025) EurAI Fellow (2024) ELLIS Fellow (2024) ACL Fellow (2023) Outstanding Paper Awards at ACL 2024, ACL 2023, and NAACL 2021 Best Resource Paper Award at ACL 2022 Prominent Paper Awards from the Artificial Intelligence Journal (2023, 2017) META Prize 2015 for BabelNet Professor Navigli has successfully secured substantial research funding, including two prestigious ERC Grants (MultiJEDI ERC Starting Grant 2010-2016 and MOUSSE ERC Consolidator Grant 2017-2023, totaling around 3 million euros), PI of PRIN 2017 and PRIN 2020 projects (overall 1.4 million euros), and a Google Focused Research Award (around 300k$). He has mentored over 30 PhD students, many of whom have gone on to successful careers in academia and industry. His leadership extends to major international conferences, serving as General Chair of ACL 2025 and Program Co-Chair of ACL-IJCNLP 2021. As the director of the Sapienza NLP Group and co-leader of the Transversal Project on Large Language/Multimodal Models in the FAIR (Future Artificial Intelligence Research) project, Professor Navigli oversees a vibrant research ecosystem focused on advancing the state-of-the-art in natural language understanding across languages. His spinoff company, Babelscape, translates academic research into practical applications for industry.

• Natural Language Processing
• Multilingual Natural Language Understanding
• Large Language Models
• +5 more

Roberto Navigli serves as an Associate Professor in the Department of Computer Science at Sapienza University of Rome, conducting pioneering research in Natural Language Processing. He holds editorial leadership positions including Associate Editor of the Artificial Intelligence Journal and membership on the Journal of Natural Language Engineering editorial board. His research program centers on multilingual semantic technologies, with foundational contributions to word sense disambiguation, ontology learning from unstructured text, and large-scale knowledge acquisition systems. Navigli's work bridges theoretical linguistics with practical applications in relation extraction and open information extraction, emphasizing cross-lingual capabilities and resource scalability. Publication analysis reveals a sustained focus on semantic resource development, evolving from early WordNet extensions (2003) to contemporary open knowledge extraction frameworks (2015). This trajectory demonstrates consistent innovation in transforming unstructured text into structured knowledge representations for multilingual applications. Major scientific recognition includes: Marco Cadoli 2007 AI*IA Prize for best doctoral thesis in AI Marco Somalvico 2013 AI*IA Prize for best young AI researcher ERC Starting Grant (2011-2016) for multilingual word sense disambiguation Google Focused Research Award on Natural Language Understanding Navigli directs significant research initiatives funded by competitive grants, including his ERC project and Google collaboration, while providing academic leadership through area chair roles at ACL, WWW, and *SEM conferences. His service as senior program committee member for IJCAI and editorial board positions underscores substantial community impact.

• Natural Language Processing
• Word Sense Disambiguation
• Word Sense Induction
• +4 more

Seth Frey is an Associate Professor in the Department of Communication at the University of California, Davis, with affiliate status at Indiana University's Ostrom Workshop and as Research Director at Metagov. His research focuses on computational social science approaches to understanding self-governance in complex social systems, particularly through the lens of online communities as model institutions. Education: Ph.D. in Cognitive Science and Informatics (complex systems), Indiana University, 2013 B.A. in Cognitive Science, UC Berkeley, 2004 Research Interests: Frey specializes in computational approaches to institutional analysis and the cognitive science of strategic behavior . His work examines how communities design governance systems to overcome collective action problems, with emphasis on: Emergent institutional structures in digital commons Policy-as-data through NLP and institutional grammar frameworks Cognitive mechanisms underlying cooperative behavior Design principles for participatory change in online platforms His methodology integrates large-scale data analysis, web-based experiments, and computational modeling across diverse contexts including Minecraft, Reddit, and professional sports ecosystems. Publication Trends: Recent publications (2023-2025) demonstrate a cohesive trajectory toward computational institutional analysis, with increasing focus on NLP-driven policy analysis (e.g., NLP4Gov), decentralized governance architectures (DAOs, multi-level platform governance), and the cognitive foundations of collective action. His work consistently bridges theoretical institutional analysis with practical applications in digital community design, showing particular growth in translating Ostrom's design principles into computational frameworks. Awards: Honorable Mention Award for Best Paper at ACM CSCW 2019 Advising and Grants: Frey mentors students interested in data science applications at the intersection of communication, cognition, and complex systems, emphasizing resourcefulness and intellectual curiosity. His research has secured substantial funding from: National Science Foundation (NSF) NASA Ford Foundation Google Open Source Foundation He actively encourages aspiring graduate students with strong self-directed research skills to explore computational approaches to social phenomena. Labs and Teams: He leads the Computational Communication Lab at UC Davis and co-directs the Institutional Grammar Research Initiative. Through Metagov, he develops the 'Governance API' framework for modular community governance. His past affiliations include Disney Research (Walt Disney Imagineering) where he applied complexity science to theme park systems, and the New England Complex Systems Institute (NECSI). Current collaborations span Ethereum governance, Minecraft server ecosystems, and Colorado's cannabis monitoring infrastructure.

• Computational Social Science
• Governance of Commons
• Complex Systems
• +5 more

Andrea Santilli is a Research Scientist at Nous Research and holds a PhD in Computer Science from GLADIA at Sapienza University of Rome. His research focuses on large language models (LLMs), robustness, reliability, and multimodal learning. He previously worked at Apple MLR, Hugging Face’s BigScience, and Pi School. He earned his MSc and BSc in Computer Science from Tor Vergata University and Sapienza. Education: PhD in Computer Science, Sapienza University of Rome (2024) MSc in Computer Science, University of Roma Tor Vergata (2020) BSc in Computer Science, University of Roma Tor Vergata (2018) Research Interests: Santilli’s work spans LLM robustness , mechanistic interpretability , multimodal neural databases , and instruction-tuning . He introduced Parallel Jacobi Decoding and contributed to projects like BLOOM, Camoscio, and Fauno. His research bridges syntax-aware NLP, privacy-preserving LLMs, and cross-modal alignment. Publications: His work includes advancements in 3D-text latent space alignment (CVPR 2025), evolutionary merging (ICML 2025), and efficient decoding (ACL 2023). Over 15+ peer-reviewed papers span venues like ACL, CVPR, and ICLR. Awards: Received the Emanuele Pianta Award for his MSc thesis on continual language learning with syntax-based episodic memory. Grants & Projects: Winner of ‘Machine Learning Algorithms for Translation’ grant (2022), developing Parallel Decoding Co-PI for ‘Multimodal AI for 3D Analysis’ (2021) with Ecole Polytechnique Labs & Teams: Active in GLADIA (Sapienza), Apple MLR, and Hugging Face’s BigScience initiative. Core contributor to open-source projects like PromptSource and BLOOM.

• Natural Language Processing
• Representation Learning
• Machine Intelligence
• +10 more

Andrea Maurino is a Full Professor at the University of Milano-Bicocca and leads the Insid&s LAB. His research focuses on data quality, knowledge graphs, machine learning, and their applications in healthcare, finance, urban planning, and organizational analysis. He explores cutting-edge techniques like Large Language Models (LLMs) for decision support systems and semantic annotation of tabular data. Key research interests include improving data quality frameworks for large RDF datasets, developing enterprise knowledge graphs for organizational insights, and applying AI to social media analysis and hate speech detection. His work bridges theoretical advancements with real-world applications such as smart city mobility prediction and nutritional strategies for healthy aging. Notable contributions include scalable tools like ABSTAT-HD for knowledge graph profiling and the 3d-clost mobility prediction model. Maurino’s interdisciplinary approach integrates data science with fields like psychology (ICD-11 decision support) and environmental science (ESG activity detection in financial texts). His lab collaborates on projects like Food NET, combining nutrition science with social network analysis. While no formal awards are listed here, his prolific publication record reflects sustained innovation in data-driven methodologies.

• Data Science
• Knowledge Graphs
• Machine Learning
• +5 more

Marco Venuti is a tenured researcher in English Language, Translation, and Linguistics at the Department of Humanities, University of Catania, where he teaches Statistics in Corpus Linguistics and English Linguistics and ESP. He previously held a research position at the University of Naples Federico II from 2006 to 2014. He is a founding member of the Interuniversity Research Center I-LanD (Identity, Language, and Diversity), the Center for Humanistic Computing (CInUm), and the Neurohumanities Research Center at the University of Catania. He serves as the Department's delegate for Digital Humanities and Digital Sociology and is a member of the Departmental Research Committee. His primary research interests include: Critical Discourse Analysis Corpus Assisted Discourse Studies News and Political Discourse Institutional Discourse Social Media in the Public Sphere Language and Gender His recent scholarly work focuses on the discursive construction of social and political events across media and cultures, particularly analyzing news values, identity representation, and evaluative language. His publications reveal a strong methodological consistency in combining corpus linguistics with critical discourse analysis, often in cross-cultural and multilingual contexts, examining topics such as same-sex marriage rulings, EU perception in media, and the linguistic framing of riots and political briefings. He has developed and analyzed major corpora, including the CompWHoB Corpus (White House Press Briefings) and the CorDis Corpus (Iraq War discourse). Scientific contributions and projects include: Principal Investigator (PI) of the interdepartmental research project on online journalism (2020–2024) Departmental PI of the project on Crisis in/of Democracy, focusing on populism and social media Co-development of linguistic corpora for political and media discourse analysis He actively mentors students, supervising theses on discourse analysis, media language, and gender. His research bridges linguistics, sociology, and digital humanities, contributing to both theoretical and applied understandings of language in public and institutional domains.

• Critical Discourse Analysis
• Corpus Linguistics
• Corpus Assisted Discourse Studies
• +12 more

Marco Maggini is a Full Professor in the Department of Information Engineering and Mathematics at the University of Siena, a position he has held since joining the university in 1996. His academic career spans over 25 years with foundational expertise in computer engineering and artificial intelligence, focusing on theoretical and applied machine learning research. His educational background includes: Laurea degree (cum laude) in Electronics Engineering from the University of Florence (1991) Ph.D. in Computer Engineering and Control Systems from the University of Florence (1995) Prof. Maggini's research encompasses machine learning, neural networks, kernel machines, and the integration of symbolic and sub-symbolic knowledge systems. He extends these foundations into practical applications including web mining, search engine technology, pattern recognition, natural language processing, and computer vision. This interdisciplinary approach bridges theoretical computer science with real-world implementation challenges across multiple domains. Analysis of his 15 most recent publications (2023-2025) reveals a dominant focus on multilingual NLP applications, particularly educational puzzle generation for low-resource languages (Italian, Arabic, Persian, Turkish) using LLMs. His work demonstrates consistent innovation in named entity recognition, commonsense reasoning evaluation, and cross-lingual adaptation techniques. Secondary research threads include medical imaging segmentation, molecular property prediction, and AI security vulnerabilities, reflecting his broad technical mastery across computer vision, bioinformatics, and adversarial machine learning. No specific scientific awards were mentioned in the provided documentation, though his editorial roles indicate peer recognition within the academic community. While student mentoring details are absent from the source material, his position as Full Professor and leadership of SAILab imply active graduate supervision. His extensive publication record (120+ papers) and editorial service suggest significant research grant involvement, though specific funding sources remain undocumented. He directs the Siena Artificial Intelligence Laboratory (SAILab), which serves as an interdisciplinary hub for advancing machine learning theory and applications. The lab's current projects emphasize educational technology, multilingual NLP systems, and the integration of symbolic reasoning with neural architectures, maintaining strong industry and international academic collaborations.

• machine learning
• neural networks
• kernel machines
• +6 more

Ricciarda Remembers is a Senior Researcher in Contemporary Italian Literature at Ca' Foscari University of Venice's Department of Humanities. She specializes in 20th century Italian literature with particular expertise in authors such as Leonardo Sciascia, Eugenio Montale, and Pier Paolo Pasolini. She serves as a Member of the Scientific Committee of the 'Archive of Migrant Women Writers' Writings' and teaches Contemporary Italian Literature at the Master's level. Her research interests focus on Italian literary studies with special emphasis on travel writing, women's literature, migrant literature, and 20th century Italian literary movements. She has developed significant expertise in Sciascia studies, having published extensively on his work across multiple decades. Her recent scholarship explores Jhumpa Lahiri's linguistic journey to Italian literature, demonstrating her engagement with contemporary transnational literary phenomena. Her publication trends reveal a consistent scholarly trajectory examining the intersections of literature, cultural identity, and geographical movement. Recent works focus on migrant literatures between Italy and Argentina, the representation of animals in Elsa Morante's work, and Montale's Swiss prose, indicating her broad yet interconnected research interests that span literary forms, cultural contexts, and historical periods. Ricciarda Remembers has maintained an exceptionally productive scholarly career since the 1980s, with over 150 publications documented in the university's repository. Her work bridges literary criticism, cultural studies, and historical analysis, contributing significantly to the understanding of Italian literature's evolution throughout the 20th and 21st centuries.

• Italian Literature
• Contemporary Literature
• Travel Writing
• +4 more

Debora Nozza is an Assistant Professor in Computing Sciences at Bocconi University, where she leads research at the intersection of Natural Language Processing, ethics, and social impact. Her work focuses on detecting and countering hate speech, understanding algorithmic bias, and examining how people use large language models in everyday contexts. Education: PhD in Computer Science, 2018, University of Milano Bicocca Dr. Nozza's research centers on ethical challenges in Natural Language Processing, with particular emphasis on hate speech detection across multilingual contexts and bias mitigation in language technologies. Her work bridges technical NLP methods with social science perspectives, examining how language models interact with societal structures and cultural contexts. She has made significant contributions to understanding gender bias in machine translation and developing methods for more equitable language technologies. Her recent publications reveal a strong focus on practical applications of NLP for social good, with an increasing emphasis on evaluating and mitigating bias in multimodal systems and large language models. Her research spans technical methodology development, dataset creation for under-resourced languages, and critical analysis of evaluation metrics in bias research. Scientific Awards: €1.5 million ERC Starting Grant (2023) for research on personalized and subjective approaches to Natural Language Processing €120,000 grant from Fondazione Cariplo for the MONICA project on monitoring Italian measures in response to COVID-19 Dr. Nozza actively contributes to the NLP community through her leadership in the MilaNLP group. She has secured significant research funding that supports multiple researchers working on NLP for social impact. Her work has practical implications for social media platforms, policymakers, and organizations developing language technologies. She co-leads the MilaNLP research group at Bocconi University, which focuses on Natural Language Processing with social impact. The group has been active in major NLP conferences, organizing workshops on online abuse and gender bias, and contributing to shared tasks that advance the field's understanding of hate speech and bias in multilingual contexts.

• Natural Language Processing
• Hate Speech Detection
• Algorithmic Bias
• +6 more

Bernardo Magnini is a researcher at Fondazione Bruno Kessler (FBK) in Trento, Italy, specializing in Natural Language Processing and Human-Centered AI. He contributes to the Humane AI project (Horizon 2020 grant 952026), focusing on multilingual AI systems that enable natural human-machine interaction while preserving European linguistic diversity. His core research spans Natural Language Processing with emphasis on textual entailment, language modeling, and cross-lingual technologies. Magnini advocates for AI that supports all European languages regardless of speaker population, stressing language as essential for cultural preservation. Key contributions include the IRSTLM language modeling toolkit and foundational work on tree-edit-distance algorithms for semantic inference. Magnini's publication trends reveal sustained focus on enabling machines to understand human language through multilingual frameworks, with early work in textual entailment evolving into broader human-centered AI applications. Scientific recognition includes: META Prize META Seal of Recognition No student advisement details are provided, but his leadership in Horizon 2020 projects like Humane AI indicates substantial grant funding for multilingual AI research. He collaborates within FBK's Natural Language Processing group on tools bridging linguistic theory and practical AI systems. Magnini operates within FBK's NLP research unit, developing language resources and technologies for European language preservation, with ongoing work targeting conversational AI systems that transcend domain-specific limitations.

• Natural Language Processing
• Human-Centered AI
• Multilinguality
• +2 more

Anna Morbiato is an Associate Professor in the Department of Asian and North African Studies at Ca' Foscari University of Venice, where she teaches Chinese language and linguistics. She is a member of the Board of Directors of the Ca' Foscari School for International Education (CFSIE) and serves as Editor-in-Chief of the journal Annali di Ca’ Foscari Serie orientale . Her academic work bridges linguistics, cognitive science, and artificial intelligence. Education: PhD in Linguistics, University of Sydney (Cotutelle) PhD in Asian and African Studies, Ca' Foscari University of Venice MA in Technical and Scientific Translation, Ca' Foscari University of Venice (First Class Honours) BA in Translation and Interpretation, Ca' Foscari University of Venice (First Class Honours) Her research focuses on Chinese syntax, information structure, pragmatics, and second language acquisition, employing cognitive-functional and corpus-based methodologies. She has contributed extensively to the understanding of word order, topic structure, and anaphora in Mandarin, with applications in language teaching and AI. The recent publications of Anna Morbiato reveal a strong trend toward interdisciplinary research, particularly in human-centric AI and natural language understanding. Her work connects linguistic theory with practical applications in technology, focusing on how language encodes meaning in procedural and culinary texts. She integrates cognitive linguistics with corpus analysis and experimental data, especially in studying Italian learners of Chinese. Scientific Awards: Marie Skłodowska-Curie Actions Seal of Excellence (2018) Valedictorian, Ca’Foscari University (2018) Campus Mentis Award (2010) Chinese Bridge Competition 3rd Prize (2007) Multiple First Class Honours distinctions Anna Morbiato has supervised numerous BA and MA theses and is responsible for Chinese language instruction at her department. She has received competitive research grants from the European Union (Horizon 2020, PRIN), Australian Government (Endeavour), and the University of Sydney. Her leadership extends to organizing international conferences and serving on PhD committees and editorial boards. She is actively involved in the MUHAI (Meaning and Understanding in Human-centric AI) project, where she contributes case studies in cognitive semantics and pragmatics, and in the PRIN ACHIEVE project on Chinese verb complex acquisition. Her institutional roles include curriculum development, editorial leadership, and academic governance.

• Chinese Linguistics
• Syntax
• Information Structure
• +9 more

Felice Dell'Orletta is a researcher at the Institute of Computational Linguistics "Antonio Zampolli" (ILC), part of the Italian National Research Council (CNR). With numerous publications spanning from 2023 to 2025, Dell'Orletta is actively contributing to the field of computational linguistics and natural language processing. The researcher's work demonstrates strong collaboration with colleagues including Alessio Miaschi, Giulia Venturi, and Dominique Brunato across multiple projects. Dell'Orletta's research interests focus on the intersection of linguistics and artificial intelligence, particularly in the development and evaluation of Large Language Models. Key areas include linguistic profiling methodologies, text style transfer applications, and the analysis of text coherence across languages. The researcher has made significant contributions to Italian language processing, developing specialized techniques for adapting language models to the Italian linguistic context. The publication record shows a clear trend toward practical applications of NLP research, particularly in healthcare communication (reducing physician-patient expertise gaps), software engineering (feature extraction from mobile app reviews), and mental health assessment (linguistic markers of psychological conditions). Dell'Orletta's work bridges theoretical linguistic concepts with real-world AI applications, demonstrating both academic rigor and practical relevance. Dell'Orletta has been involved in multiple collaborative research projects, as evidenced by the extensive co-authorship network across publications. The research spans both technical NLP advancements and interdisciplinary applications in healthcare, education, and psychology. Recent work on linguistic profiling of LLMs represents a significant contribution to understanding the linguistic capabilities and limitations of current language models.

• Natural Language Processing
• Computational Linguistics
• Large Language Models
• +5 more

Simone Conia is an Assistant Professor at Sapienza University of Rome specializing in Natural Language Processing and Machine Learning. He leads research at the intersection of Large Language Models and multilingual systems while maintaining an active research collaboration with Apple as a Research External Collaborator. His research interests focus on Large Language Models , particularly investigating their fundamental capabilities and limitations with emphasis on improving reasoning abilities and reducing hallucinations; Multilingual NLP , developing robust systems for multiple languages with attention to low-resource settings; and Retrieval Augmented Generation , enhancing language models through external knowledge integration to improve factual accuracy. His scholarly contributions include over 40 publications in top-tier conferences with significant citation impact (1,063 total citations, h-index 14). His work has been recognized with multiple awards: Outstanding Paper Award at EMNLP 2024 Outstanding Paper Award at NAACL 2021 Distinguished Program Committee member at IJCAI Honor Student at Sapienza University Dr. Conia's research demonstrates strong industry-academia collaboration, particularly through his ongoing work with Apple on multilingual language models and real-world applications. His citation trajectory shows rapidly growing impact, with citations increasing from 23 in 2020 to 399 in 2024. He actively contributes to the open-source NLP community through GitHub repositories including unify-srl, wsd-hard-benchmark, and multilabel-wsd, focusing on semantic role labeling, word sense disambiguation, and knowledge graph integration with language models.

• Natural Language Processing
• Machine Learning
• Large Language Models
• +4 more

Edoardo Barba is a full-time Researcher (RTDA) in the Department of Computer, Control and Management Engineering (DIAG) at Sapienza University of Rome. He is a core member of the Sapienza NLP group led by Professor Roberto Navigli, focusing on Lexical Semantics, Entity Linking, and Word Sense Disambiguation. His recent work explores descriptive modeling applications in Language Modeling, Semantic Role Labeling, and Machine Translation. He co-founded Litus AI, an NLP-focused startup in Rome. Barba holds a Ph.D. in Computer Science from Sapienza University (2023), with a thesis on 'Descriptive Modeling: Capturing Semantics in Neural Models via Natural Language Descriptions'. His research emphasizes innovative architectures like ReLiK (entity linking/relation extraction) and ExtEnD (extractive entity disambiguation), achieving state-of-the-art results. He has published extensively in top conferences like ACL, EMNLP, and IJCAI, focusing on semantic grounding, metric evaluation, and efficient NLP systems. His work on ConSeC (continuous sense comprehension) and DMLM (descriptive masked language modeling) highlights contributions to semantic understanding and knowledge-enhanced models. Selected Awards: None explicitly mentioned, though his publications reflect significant academic recognition. Grants/Advising: Not detailed in the provided text. Barba collaborates on multilingual resources like MOSAICo and explores Italian-specific LLM optimizations. His research bridges theoretical advancements with practical applications in startups and open-source tools.

• Natural Language Processing (NLP)
• Lexical Semantics
• Entity Linking
• +5 more

Johanna Monti is a Professor of Modern Language Teaching at the University of Naples "l'Orientale" , specializing in Translation Studies, Computational Linguistics, and Digital Humanities. She coordinates the Master's Degree in Specialized Translation and serves as Rector's Delegate for Third Mission. Previously, she was Associate Professor at the University of Sassari (2012-2016) and led the Computational Linguistics research unit at Thamus Consortium (1988-2001). PhD in Theories, Methodologies, and Advanced Applications for Communication, Computer Science, and Physics (University of Salerno) Director of UNIOR NLP Research Group Principal Investigator for projects: TOCC, CLIA, Eurolang, CLIPS, AVENTINUS, KiNESIS, STREETS Research Focus: Machine Translation, Multiword Expressions, Language Technologies, and Digital Humanities. Her recent work explores Large Language Models' capabilities in idiomatic translation, legal text processing, and computational representation of linguistic phenomena. Scientific Recognitions: Fellow of Special Interest Group on the Lexicon (SIGLEX-MWE) (2017-present) Fellow of Società Italiana di Glottologia (2008-present) Member of editorial board for IJCOL (2020-present) She has participated in international research collaborations and served as Program Chair for major workshops including EUROPHRAS and International Nooj Conference. Her teaching portfolio includes General Translation Studies, Machine Translation, and Multilingual Data Modeling courses.

• Computational Linguistics
• Machine Translation
• Natural Language Processing
• +5 more