Making technical publication verification simpler
Increasing efficiency and accuracy of technical English
Manufacturers and operators of aircraft and equipment produce large numbers of technical manuals for their air and ground crews. These manuals generally cover all phases of aircraft operation - from assembly and disassembly, operation and maintenance of the various systems and subsystems, to storage of the equipment. These manuals are constantly revised as and when the customer makes new procedures, or modifications to the existing models.
Most of the aircraft manuals are written in Simplified Technical English (STE), which is a controlled language developed to help users understand what they read. This helps the end users, who has limited knowledge in English, clarity about the various procedures followed while operating different aircraft systems. Complex technical instructions can be misunderstood and can lead to accidents. Manuals written in STE will be easy to understand and helps to remove linguistic barriers. However, the chances of having human errors is more as the technical authors have to spend more time in proofreading while creating the technical manuals.
Users were calling for an automated solution of verifying the contents of the manual and highlight the sections which violates the writing rules and dictionary mentioned in Simplified Technical English. umlaut engineers and Technical Publication domain experts from India and Germany joined together and developed an inhouse software employing AI, ML and NLP for increasing the efficiency and accuracy of writing the technical manuals. The tool, named Technical Writing Efficiency Enhancement Tool (TWEET), helps users to upload the authored documents and check for most of the 53 STE rules, generic English grammar, spelling, and other necessary standards followed while creating the manuals. The tool is also designed to co-relate callouts between corresponding illustrations & task texts and identify missing callouts. Also, its advanced Torque Extraction feature helps authors by visualizing specific task related torque values from Engineering drawings and Bill of Materials. The solution has helped our customer, a leading Aircraft manufacturer, to improve the authoring process quality and reduce human errors.
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