Exploration of Natural Language Processing (NLP) Applications in Aviation

Q3 Social Sciences
Nadine Amin, Tracy L. Yother, Mary E. Johnson, J. Rayz
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引用次数: 5

Abstract

As a result of the tremendous boost in computational power, the current prevalence of large bodies of data, and the growing power of data-driven algorithms, natural language processing (NLP) has recently experienced rapid progressions in multitudinous domains, one of which is aviation. In this study, we explore the current standing of NLP in aviation from the perspective of both research and industry. We identify safety reports analyses, aviation maintenance, and air traffic control as the three main focus areas of NLP research in aviation. We also list currently available NLP software and how they have been used in the aviation industry. Finally, we shed a spotlight on some of the existing challenges posed by the aviation domain on standard NLP techniques, discuss the current corresponding research efforts, and put forward our recommended research direction.
自然语言处理(NLP)在航空中的应用探索
由于计算能力的巨大提升,当前大量数据的流行,以及数据驱动算法的日益强大,自然语言处理(NLP)最近在众多领域取得了快速进展,其中之一就是航空。在本研究中,我们从研究和产业两个角度探讨了NLP在航空领域的现状。我们将安全报告分析、航空维修和空中交通管制确定为航空NLP研究的三个主要重点领域。我们还列出了目前可用的NLP软件以及它们在航空业中的使用情况。最后,重点分析了航空领域对标准NLP技术存在的一些挑战,讨论了当前相应的研究工作,并提出了我们建议的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Collegiate Aviation Review
Collegiate Aviation Review Social Sciences-Education
CiteScore
1.10
自引率
0.00%
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