Manufacturers and operators of aircraft and equipment produce large numbers of technical manuals for their air and ground crews, which are constantly revised as and when the customer makes new procedures, or modifications to the existing models.
Most aircraft manuals are written in Simplified Technical English (STE), developed to help users understand what they read, in order to avoid misinterpretations and mistakes. However, the possibility of human error through manual checking is higher as the authors need to spend extensive time proofreading.
We (formerly as umlaut) developed an automated solution for verifying the contents of the manuals using AI, Machine Learning and Neuro Linguistic Programming to increase the efficiency and accuracy of the process of writing the technical manuals. The tool helps the check for most of the STE rules, generic English grammar, spelling, and other necessary standards applicable when creating the manuals.
