Silent Disco: Cleaning OCR'd Data with Regex
Optical Character Recognition (OCR)—the conversion of scanned images to machine-encoded text—has proven a godsend for historical research. This process allows texts to be searchable on one hand and more easily parsed and mined on the other. But OCR’d historical text is far from perfect. This tutorial will show you how you can use Regular Expressions to clean these texts.
This is a self-paced event: when taking part, you will work through the tutorial at your own pace with an instructor available online to help you with any issues.
Participants will work on the tutorial at their own pace. The facilitator will be available via Teams Chat to reply to any questions that arise during the workshop, and to help with installation, troubleshooting or other issues.
This is an intermediate-level workshop. You will need a basic understanding of Python and how to run Python code.
To attend this course, you will have to join the associated Microsoft Teams group. The link to join the group will be sent to attendees prior to the course start date, so please make sure to do so in advance.
After taking part in this event, you may decide that you need some further help in applying what you have learnt to your research. If so, you can book a Data Surgery meeting with one of our training fellows.
If you’re new to this training event format, or to CDCS training events in general, read more on what to expect from CDCS training. Here you will also find details of our cancellation and no-show policy, which applies to this event.
If you're interested in other training on digitised documents, have a look at the following:
- Working with OCR
- Silent Disco: Linked Open Data
- Can you just Digitise? Introduction to digitised documents
- Working on digitised Manuscripts with Transkribus