Selecting a country shows the courses available in your region.
⏱ 2h 30m📚 25 lessons🎧 Audio version
Language Technology for Digital Humanities
Learn to analyze and process textual data using modern computational methods for research in the humanities and social sciences.
💬AI instructor Ask about any lesson and get a clear answer instantly, anytime.
🕐Start anytime No schedules or deadlines — learn at your own pace, whenever suits you.
🌐In English Lessons, tasks and certificate — all fully in your language.
About this course
Modern humanities research increasingly relies on digital methods to process and interpret vast amounts of textual data. This course bridges the gap between traditional scholarship and computational language technology, providing a clear path for researchers to integrate digital tools into their workflows. You will transition from understanding basic text structures to applying advanced linguistic analysis techniques to your own research projects.
Through a structured series of written explanations and examples, you will gain the foundational knowledge required to prepare, process, and analyze digital texts using industry-standard methodologies. The course covers the full lifecycle of a digital humanities project, from initial data cleaning to extracting meaningful insights from complex corpora.
What you'll learn:
- Understand the core principles of language technology and its application in modern humanities research
- Learn how to prepare and clean text data using modern encoding standards and regular expressions
- Apply linguistic processing techniques such as tokenization, lemmatization, and part-of-speech tagging
- Explore the basics of text mining and information extraction for historical and literary analysis
- Understand the role of modern large language models and prompt engineering in scholarly research
- Practice identifying patterns and structures within digital corpora to support academic arguments
The course begins with essential terminology and foundational concepts of digital text representation before moving into practical workflows for linguistic analysis and modern AI-assisted research methods. This progression ensures you build a solid theoretical base before exploring more complex computational applications.
This course is designed for students, librarians, and researchers in the humanities who are new to computational methods. No prior programming or technical background is required to begin.
Start exploring the intersection of language and technology to enhance your research capabilities.
What you'll get
📜Certificate of completion Add it to your LinkedIn profile
💬Personal AI tutor Stuck on a lesson? Ask your built-in tutor anything, any time.
🎧Audio version included Learn on the go — no screen needed
♾️Lifetime access Come back anytime, no expiry
📱Phone or computer Works anywhere, any device
💸14-day refund No questions asked
⚡Short & focused 2h 30m of practical content
Certificate of completion
Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.