NLP TOOLS USED IN CIVIL AVIATION: A SURVEY

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saptarshi paul
Bipul Syam purkaystha
Purnendu Das

Abstract

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.

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Author Biographies

saptarshi paul, Assam University, silchar (A Central Government University)

Assistant Professor at Department Of Computer Science, Assam University, Silchar

Bipul Syam purkaystha, Assam University, Silchar

Professor at Department of Computer Science, Assam University, Silchar

Purnendu Das, Assam university, Silchar (A central University)

Assistant Professor At Department Of Computer Science, Assam University, Silchar

References

Ludvoc Tanguy, Nikola Tulechki, Assaf Urieli, Eric Hermann, Celine Raynal “NLP for Aviation Safety Reports: from Classification to Interactive Analysisâ€, CLLE-ERSS, CNRS, university of Toulouse, CFH/Safety data. Computers in Industry, Elsevier, 2016, 78, pages:80-95.

Pierre Isabelle and Laurent Bourbeau, “TAUM-AVIATION: its Technical Features and some experimental Resultsâ€, Computational Linguistics, Volume 11, Number 1, January-March 1985. Pages: 18-27.

Peter Clark and Phil Harrison “Boeing's NLP System and the Challenges of Semantic Representation†WA 98124, ACL , STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing, Pages 263-276, Venice, Italy ,September 22 - 24, 2008 .

https://flightsafety.org/toolkits-resources/past-safety-initiatives/global-aviation-safety-network-gain/global-information-sharing-systems/

http://aviationweek.com/

https://www.ibm.com/watson/stories/aviation.html

http://www.intelligent aerospace.com / pt / 2016 / 10/21/applying-natural-learning-processing-to-airbus-helicopters.html

http://www.safety-data.com/en/solutions/plus/

https://asrs.arc.nasa.gov/

http://eccairsportal.jrc.ec.europa.eu/index.php?id=2

https://ec.europa.eu/jrc/en/scientific-tool/eccairs-european-central-repository-aviation-accident-and-incident-reports

http://www.livemint.com/Companies/oCNAMLFfHdmjKdyn0w9BAM/Airbus-aims-to-deliver-1-aircraft-per-week-over-10-years-in.html

http://www.business-standard.com / article /companies/airbus-aims-to-deliver-one-aircraft-per-week-over-10-years-in-india-118030900693_1.html

http://www.airbus.com/content/dam/corporate-topics / publications /backgrounders / Airbus_Global_Market_ Forecast_2017-2036_Growing_Horizons_full_book.pdf