Language Technology for Digital Humanities
Learn to analyze and process textual data using modern computational methods for research in the humanities and social sciences.
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
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📜
Certificate of completion
Add it to your LinkedIn profile -
🎧
Audio version included
Learn on the go — no screen needed -
♾️
Lifetime access
Come back anytime, no expiry -
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Phone or computer
Works anywhere, any device -
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30-day refund
No questions asked -
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Short & focused
1h 18m of practical content
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Frequently asked
What do I need to take this course? +
Just a phone or computer with internet. No installs, no special hardware.
How do I pay? +
By card via Stripe, or with cryptocurrency. We do not store card details — Stripe handles them securely.
Can I get a refund? +
Yes — full refund within 30 days, no questions asked.
How long will I have access? +
Forever. Once you purchase, the course is yours to revisit anytime.
Will I get a certificate? +
Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.
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