LexData is a collaborative research and learning platform made for language, translation, AI, and data-driven creativity.
Plenty of tools are made for memos, notes, and to-do lists. That's not us.
LexData is here to help you build research worlds, connect languages, raise better questions, and celebrate creativity in all its forms.
RESEARCH, NOT OPAQUE AUTOMATION
Human judgment
One connected workspace
Selected work
From raw text collection to cleaning, annotation, and analysis-ready datasets.
Human-in-the-loop terminology, translation review, and bilingual quality control.
Generative AI, Python, and NLP turned into practical workshops for humanities researchers.
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Important Notice for Registered Members
If you have registered for a LexData workshop, please follow the payment instructions sent by the manager/admin. After payment, upload your receipt from the registered workshop page. Your payment will be reviewed, and access will be unlocked after confirmation.
1. Check your workshop
Log in and open the workshop page you registered for.
2. Upload receipt
After payment, upload your receipt in the payment section.
3. Need help?
Use the “?” Q&A help button if you have any problem.
WORKSHOPS AND NOTICES
Upload workshop posters and keep this section updated with your newest training sessions, seminars, and registration notices.
The International Summer School in Corpus Linguistics is a 5-day intensive, hands-on training program jointly organized by Khazar University and LexData, taking place from 20–25 August 2026 in Shahdag, Quba, and Truskavets Hotel. The program is designed for international students, master's and PhD students, researchers, and scholars in language, literature, and linguistics. Participants will receive practical training in corpus linguistics fundamentals, corpus compilation, corpus analysis tools, corpus-based research, advanced analytical methods, and research writing and publication. The final stage of the program focuses particularly on preparing corpus-based research articles, publishing in Scopus and Web of Science-indexed journals, selecting appropriate journals, avoiding predatory publications, and receiving feedback on participants' research.
Future-Ready Language Research: Corpus, AI, Analytics, and Publication Success. Who Should Attend? • Master's (MS/MPhil) students in Linguistics, Applied Linguistics, TESOL, Translation Studies and related fields. • PhD scholars seeking advanced research and publication skills. • Early-career researchers planning international publications. • Academics, lecturers, assistant professors, associate professors and professors in Language Sciences. • Corpus linguists, discourse analysts, translation researchers, computational linguists and NLP researchers. Key Skills You Will Master Research Design & Development • Research Question Development • Literature Review Strategies • Research Proposal Writing • Research Methodology Design Corpus & Dataset Development • Corpus Building • Data Collection • Corpus Annotation • Web Scraping Computational Research Skills • Python for Language Research • R for Statistical Analysis • Discourse Analysis • Metaphor Analysis Data Analytics & Visualization • Statistical Analysis • Advanced Visualization • Publication-Ready Figures • Bayesian Networks Artificial Intelligence • Generative AI • AI-Assisted Writing • Ethical AI Use • Research Productivity Publication & Impact • Manuscript Development • Journal Selection • Reviewer Responses • High-Impact Publishing Week 1 Expected Outcomes • Develop publishable proposals • Build and annotate corpora • Design robust methodologies • Prepare datasets Week 2 Expected Outcomes • Analyze data using R and Python • Conduct discourse analysis • Create professional visualizations • Build web-derived corpora Week 3 Expected Outcomes • Apply Bayesian analysis • Use AI responsibly • Prepare publishable manuscripts • Develop publication strategies
Careers and opportunities
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View internship details
CISMA x LexData
Interns wanted
Choose a track
Internship opportunity
Contribute according to your interests, skills, and academic background.
Select one primary track and one secondary interest.
Real project experience
Internship opportunity
Projects connect directly to LexData and CISMA research, learning, and public engagement.
Tasks are assigned according to experience and availability.
Who should apply
Internship opportunity
University students and recent graduates from diverse academic and technical backgrounds are welcome.
A portfolio or GitHub profile is useful but not required.
Application details
Internship opportunity
Prepare a short application explaining your interests and availability.
Open the details page to apply.
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