NLP TOOLS USED IN CIVIL AVIATION: A SURVEY

In this paper we have a look at the various application tools of NLP applied in the field of Civil Aviation. Civil aviation flights around the world are in huge demand. Order books of major Aircraft manufacturers such as Boeing, Airbus, Embraer etc are overflowing and delivery schedules for the next...

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Bibliographic Details
Published inInternational journal of advanced research in computer science Vol. 9; no. 2; pp. 109 - 114
Main Author Paul, Saptarshi
Format Journal Article
LanguageEnglish
Published Udaipur International Journal of Advanced Research in Computer Science 20.04.2018
Subjects
Air traffic control
Air traffic controllers
Aircraft industry
Aircraft maintenance
Airlines
Artificial intelligence
Aviation
Boeing aircraft
Civil aviation
Delivery scheduling
Natural language processing
Overflowing
Schedules
Situational awareness
Traffic surveillance
Training simulators
Wings (aircraft)
India
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Summary:In this paper we have a look at the various application tools of NLP applied in the field of Civil Aviation. Civil aviation flights around the world are in huge demand. Order books of major Aircraft manufacturers such as Boeing, Airbus, Embraer etc are overflowing and delivery schedules for the next few years are full. In WINGS INDIA 2018 held at Hyderabad, Airbus reported that for the next 10 years India will be receiving one Airbus aircraft every week. [13][14] More aircrafts leads to more pressure on maintenance teams, ATC (Air Traffic Controller), ground marshals / crew and CNS (Communication Navigation Surveillance) handlers. MRO (Maintenance Repair and Overhaul ) units by Boeing, Airbus, ATR apart from simulator Training units are coming up fast in countries like India, China, Srilanka and other countries which calls for more automation of the day to day technical and maintenance works and NLP (Natural Language Processing) and AI (Artificial Intelligence) tools have been playing a just the required role in a remarkable manner in managing incident reports, CNS assistance etc. The supporting role of NLP in maintenance, real time situation awareness and other areas are going to be a necessity in the foreseeable future.
ISSN:0976-5697
0976-5697
DOI:10.26483/ijarcs.v9i2.5559