Man vs Machine: When to Use Each In Your Editing Process
Presentation Abstract
With the continued development of natural language processing (NLP), there are more software applications, doing more types of editing, than ever before. This presentation will cover how an NLP works in an editing environment, the types of editing tasks that are best done by a machine, and the instances where only a trained human editor will really get the job done. Key takeaways:
- What is a natural language processor and how does it work?
- What types of editing are done best by an NLP?
- What types of editing are best saved for people?
- How to use both machine editing and human editing to your best advantage
Meet the Presenter
Val Swisher is the founder and CEO of Content Rules. Val helps companies solve complex content problems by analyzing their content and how it is created. She is a well-known expert in content strategy, structured authoring, global content, content development, and terminology management. Val believes content should be easy to read, cost-effective to translate, and efficient to manage. Her customers include industry giants such as Google, Cisco, Visa, Facebook, and Rockwell Automation. Val is the author of three books, the most recent of which, “Global Content Strategy: A Primer,” was published by XML Press.
When not working with customers, Val can be found sitting behind her sewing machine working on her latest quilt. She also makes a mean hummus.