Learn how natural language processing (NLP) works and find out what editing tasks are best done by a machine as well as instances where only a trained human editor will really get the job done. This webinar is presented by Content Rules CEO, Val Swisher.
Man Versus Machine for Editing Content
With the continued development of natural language processing (NLP), there are more software applications, doing more types of editing, than ever before. We will cover how an NLP works, editing tasks best done by a machine, and instances where only a trained human editor will really get the job done.
In this talk, learn more about:
* 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
About the Presenter:
Val Swisher, CEO, Content Rules
Val Swisher is the Founder and CEO of Content Rules, Inc. Val enjoys helping companies solve complex content problems. 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 create and translate, and efficient to manage. Her customers include industry giants such as Google, Cisco, Visa, Facebook, Roche, and IBM. Her fourth book, “The Personalization Paradox: Why Companies Fail (and How to Succeed) at Creating Personalized Experiences at Scale,” was published in 2021 by XML Press.
Val is on the Advisory Board for the Technical Communications Program at the University of North Texas. When not working with customers or students, Val can be found sitting behind her sewing machine working on her latest quilt. She also makes a mean hummus.