Natural Language Processing
Natural Language Processing in Use
You may have seen a language to language translation that took things a bit too literally. Written communication is often open to interpretation largely because of metaphors, context, and homographs (identically spelled words with different meanings). Consider these examples: Are you close enough to close the door? I cannot bear to see the bear treated badly. She is buried in a sea of paperwork. I hate that I didn’t go to the restaurant sooner. Literal translations would be next to impossible.
That is where Natural Language Processing comes in. NLP combines AI and deep learning with linguistics to “understand” text, taking contextual nuances into account.

Explore a few common use cases for Natural Language Processing:

Incorporate NLP into Your Processes
The use of NLP tools to interpret, analyze, and understand your data is typically one step in your overall automation workflow.
NLP Logix provides the understanding on how the pieces fit together to achieve the most valuable insights from your data. With 4 patents in the areas of Data Extraction, Computer Vision, and the ability to interpret data, NLP Logix is a leader in Data Capture Automation.
