高等教育中的航空器维修术语表开发:探索基于语料库的关键词分析方法路径

doi:10.12339/j.issn.1673-8578.2025.01.014

摘要/Abstract

摘要：

为了满足航空业对准确沟通和技术术语日益增长的需求(特别是在中国和巴西),该项目对面向航空器维修专业人员和学生开发的可视化词典项目进行了研究。该研究使用语料库技术分析了大量航空器维修手册,并提取了其中的关键术语和搭配用词。经由专业子语料库和比较分析手法,该文呈现了在甄别高频关键词方面的挑战与解决方案,探讨了它们在航空文件中的使用语境,同时强调了清晰度和准确性在技术沟通中的必要性。通过将上述研究成果纳入三语可视化词典,该项目旨在提升对航空术语的理解水平和应用效果。

关键词: 航空器维修, 语料库, 提取

Abstract:

This paper presents a project aimed at developing a trilingual visual dictionary for aircraft maintenance professionals and students. The project addresses the growing demand for accurate communication and technical terminology in the aviation industry, particularly in Brazil and China. The study employs a corpus-driven approach, analyzing a large corpus of aircraft maintenance manuals to extract key technical terms and their collocates. Using specialized subcorpora and a comparative analysis, this paper demonstrates challenges and solutions into the identification of high-frequency keywords and explores their contextual use in aviation documentation, emphasizing the need for clear and accurate technical communication. By incorporating these findings into a trilingual visual dictionary, the project aims to enhance the understanding and usage of aviation terminology.

Key words: aircraft maintenance, corpus, extraction

Malila PRADO, Daniela TERENZI, Diego BRITO. 高等教育中的航空器维修术语表开发:探索基于语料库的关键词分析方法路径[J]. 中国科技术语, 2025, 27(1): 83-93.

Malila PRADO, Daniela TERENZI, Diego BRITO. Development of Aircraft Maintenance Glossaries in Higher Education: Exploring Methodological Paths to Corpus-Driven Analysis of Key Keywords[J]. China Terminology, 2025, 27(1): 83-93.

图/表 6

参考文献 32

[1]	DRURY C G, MA J. Do language barriers result in aviation maintenance errors?[C]// Proceedings of the Human Factors and Ergonomics Society 47th Annual Meeting. 2003.
[2]	MA J, DRURY C G, MARIN C V. Language Errors in Aviation Maintenance: Quantifying the Issues and Interventions in Four World Regions[J]. International Journal of Aviation Psychology. 2009, 20(1): 25-47.
[3]	MATHEWS E. How Incomplete Language Standards Threaten Aviation[N/OL]. Aviation Week. (2020-03-03). https://aviationweek.com/air-transport/opinion-how-incomplete-language-standards-threaten-aviation?fbclid=IwAR262pq8-6McH6YkH7_1PvpsXOAHI0cogGfANrsd7TbU0N4pufWxqeDPSZI.
[4]	MATHEWS E, CARSON J, SINGLETON S, et al. Investigating Language Factors in Aviation Accidents[J]. Aviation Psychology and Applied Human Factors. 2022, 12(2): 99-108.
[5]	TERENZI D. Overcoming challenges in English for aviation maintenance: Technical publications selection for the construction of a corpus and its use to teach language aspects considering learners’ needs[J]. Open Journal of Applied Sciences, 2021, 11(10): 1122-1134.
[6]	PRADO M, TERENZI D, TOSQUI-LUCKS P. Language of aircraft documentation: Using a multilingual corpus in collaborative work in lexicography and pedagogy[J]. Journal of Teaching English for Specific and Academic Purposes, 2023, 11(1): 41-56.
[7]	DUPONT G. The Dirty Dozen errors in maintenance[C]// Proceedings of the 11th Symposium on Human Factors in Maintenance and Inspection:Human Error in Aviation Maintenance. 1997, March 12.
[8]	CHATZI A V, MARTIN W, BATES P, et al. The Unexplored Link between Communication and Trust in Aviation Maintenance Practice[J]. Aerospace, 2019, 6(6): 66.
[9]	BAO Q. Characteristics and translation strategy of civil aviation terminology[J]. China Terminology, 2020, 22(6): 37-41. doi: 10.3969/j.issn.1673-8578.2020.06.008
[10]	LIU H. The interplay between terminology and translation: Taking terminology translation in the field of civil aviation from English into Chinese as an example. Terminologia e Traduzione: Publifarum, 2020, 33.
[11]	HUA D, HU N. Aviation technology terminology management based on SDL Multiterm[J]. China Terminology, 2024, 26(2): 43-48. doi: 10.12339/j.issn.1673-8578.2024.02.006
[12]	BOCORNY A. Descrição das unidades especializadas policiais nominais no âmbito da aviação: Subsídios para o ensino de inglês para fins específicos[J]. Universidade Federal do Rio Grande do Sul, 2008. http://hdl.handle.net/10183/15548.
[13]	SARMENTO S. O uso dos verbos modais em manuais de aviação em inglês: Um estudo baseado em corpus[J]. Universidade Federal do Rio Grande do Sul, 2008.
[14]	SHAWCROSS P. English for Aircraft: Documentation Handbook[M]. Belin Education, 1992.
[15]	TERENZI D, PIZZI M C B. The relevance of linguistic and professional knowledge as contributing factors for technical translation in the area of aircraft maintenance[J]. The Especialist, 2020, 41(3): 00-00. https://doi.org/10.23925/2318-7115.2020v41i3a9.
[16]	TERENZI D. (in press). Data-driven learning: The use of corpora beyond concordance lines in the teaching of English for aviation maintenance[M]//Friginal E, Prado M, Roberts J. (Eds.). Teaching and Assessment in Global Aviation English. Bloomsbury.
[17]	PRADO M. Exploring an Aviation English Corpus to Equip Professionals with Pedagogic and Lexicographic Skills[C]// Proceedings of the 10^th GEIA Seminar. 2024: 122-139. https://commons.erau.edu/geia-seminar/2023/proceedings.
[18]	TERENZI D. Inglês para propósitos ocupacionais: Caminhos e desafios do professor em cursos técnicos e tecnológicos (English for Ocupational Purposes: Paths and challenges of teachers of technical courses)[M]// MonzonA, FadanelliS. (Eds.). Ensino de línguas e formação profissional (The teaching of languages and professional development). Letraria, 2019: 48-72.
[19]	International Civil Aviation Administration ICAO. Manual on the Implementation of ICAO Language Proficiency Requirements Second Edition: Doc 9835[M]. Montre’al, 2010.
[20]	FRIGINAL E. The case of task-oriented, polite discourse in intercultural aviation and customer service interactions[J]. Journal of Corpora and Discourse Studies, 2024(7): 258-281.
[21]	TAGNIN S E O. Corpus-driven terminology in Brazil[J]. Cahiers de Lexicologie, 2012, 2(101): 169-182.
[22]	TAGNIN S E O. Corpus-driven glossaries in translator training courses[J]. Oslo Studies in Language, 2015, 7(1): 00-00. https://doi.org/10.5617/osla.1447.
[23]	SCOTT M. PC analysis of key words and key key words[J]. System, 1997, 25(2): 233-245.
[24]	GRIES S T. A new approach to (key) keywords analysis: Using frequency and now also dispersion[J]. Research in Corpus Linguistics, 2021, 9(2): 1-33.
[25]	SCOTT M. Wordsmith Tools (Version 7)[M]. Stroud: Lexical Analysis Software, 2016.
[26]	ANTHONY L. Antconc (Version 4.2.0) [CP]. Tokyo: Waseda University, 2022.
[27]	REBECHI R, TAGNIN S. Brazilian cultural markers in translation: A model for a corpus-based dictionary[J]. Research in Corpus Linguistics, 2020(8): 65-85.
[28]	BENNETT G. Using Corpora in the Language Learning Classroom: Corpus Linguistics for Teachers[M]. MI: University of Michigan Press, 2010. https://doi.org/10.3998/mpub.371534.
[29]	WRAY A. Formulaic language and the lexicon[M]. Cambridge University Press, 2005.
[30]	SCOTT M, TRIBBLE C. Textual Patterns:Keywords and corpus analysis in language education (Vol. 22)[M]. Amsterdam: John Benjamins Publishing Company, viii. https://doi.org/10.1075/scl.22.
[31]	ANAC (Agência Nacional de Aviação Civil). Regulamento brasileiro da aviação civil RBAC n 65 EMENDA n 00 [Z]. Brazilian Civil Aviation Regulation, 2018. https://www.anac.gov.br/assuntos/legislacao/legislacao-1/rbha-e-rbac/rbac/rbac-65/@@display-file/arquivo_norma/RBAC65EMD00.pdf.
[32]	TERENZI D, PANTOJA M T B. A busca pela tradução de termos técnicos da área de manutenção de aeronaves: Um estudo exploratório. 2018. https://api.semanticscholar.org/CorpusID:165188919.

Aircraft Type & Document	# of texts	# of words	T/TR (%)
B737 AMM	43	3,375,865	0.53
B737 AOM	37	694,459	1.12
B737 SRM	8	538,978	2.10
B767 AMM	42	243,496	2.01
B767 AOM	70	243,496	2.01
B777 SRM	3	589,575	1.05
A319 AMM	69	17,337,942	0.18
A320 SRM	1,194	3,864,180	0.53
A320 TSM	35	12,207,229	0.10
A330 AMM	37	11,051,486	0.21
E190 AMM	40	288,369	1.74
E190 AOM	472	853,572	2.34
Total	2050	51,288,647	0.15

Aircraft Type & Document	# of texts	# of words	T/TR (%)
B737 AMM	43	3,375,865	0.53
B737 AOM	37	694,459	1.12
B737 SRM	8	538,978	2.10
B767 AMM	42	243,496	2.01
B767 AOM	70	243,496	2.01
B777 SRM	3	589,575	1.05
A319 AMM	69	17,337,942	0.18
A320 SRM	1,194	3,864,180	0.53
A320 TSM	35	12,207,229	0.10
A330 AMM	37	11,051,486	0.21
E190 AMM	40	288,369	1.74
E190 AOM	472	853,572	2.34
Total	2050	51,288,647	0.15

N	Keyword	Frequency	%	Texts	RC Freq.	Log L
1	REF	323,190	0.64	350	0	17,158.12
2	C	325,364	0.64	1,126	472	13,597.33
3	TASK	234,696	0.46	322	67	11,720.39
4	B	251,783	0.50	874	334	10,706.03
5	AIRCRAFT	208,919	0.41	1,181	58	10,448.00
6	MAINTENANCE	184,997	0.37	808	23	9,529.35
7	MANUAL	170,381	0.34	1,954	10	8,903.49
8	N	215,058	0.42	475	552	7,747.44
9	REMOVE	130,467	0.26	680	24	6,640.46
10	SUBTASK	124,222	0.25	149	0	6,594.93
11	ACCESS	135,931	0.27	647	155	5,934.75
12	REVISION	113,870	0.22	246	16	5,846.04
13	R	142,711	0.28	485	273	5,601.14
14	REPAIR	108,573	0.21	1,398	31	5,421.94
15	AMM	99,779	0.20	621	0	5,297.26
16	FIG	94,011	0.19	206	2	4,958.57
17	PANEL	105,530	0.21	706	87	4,826.69
18	PAGE	235,651	0.47	1,886	1,720	4,662.29
19	S	169,097	0.33	1,012	837	4,509.91
20	SURE	113,257	0.22	546	216	4,448.56
21	ENGINE	89,687	0.18	602	36	4,388.61
22	TEST	116,148	0.23	421	259	4,371.54
23	VALVE	84,426	0.17	361	9	4,365.09
24	FEB	86,074	0.17	862	26	4,285.59
25	DOOR	96,677	0.19	563	110	4,222.42
26	POSITION	104,961	0.21	636	185	4,203.47
27	ELECTRICAL	81,560	0.16	505	29	4,022.62
28	HYDRAULIC	74,981	0.15	291	1	3,963.57
29	MM	73,283	0.14	759	2	3,859.12
30	SYSTEM	114,438	0.23	732	363	3,815.60

N	Keyword	Frequency	%	Texts	RC Freq.	Log L
1	REF	323,190	0.64	350	0	17,158.12
2	C	325,364	0.64	1,126	472	13,597.33
3	TASK	234,696	0.46	322	67	11,720.39
4	B	251,783	0.50	874	334	10,706.03
5	AIRCRAFT	208,919	0.41	1,181	58	10,448.00
6	MAINTENANCE	184,997	0.37	808	23	9,529.35
7	MANUAL	170,381	0.34	1,954	10	8,903.49
8	N	215,058	0.42	475	552	7,747.44
9	REMOVE	130,467	0.26	680	24	6,640.46
10	SUBTASK	124,222	0.25	149	0	6,594.93
11	ACCESS	135,931	0.27	647	155	5,934.75
12	REVISION	113,870	0.22	246	16	5,846.04
13	R	142,711	0.28	485	273	5,601.14
14	REPAIR	108,573	0.21	1,398	31	5,421.94
15	AMM	99,779	0.20	621	0	5,297.26
16	FIG	94,011	0.19	206	2	4,958.57
17	PANEL	105,530	0.21	706	87	4,826.69
18	PAGE	235,651	0.47	1,886	1,720	4,662.29
19	S	169,097	0.33	1,012	837	4,509.91
20	SURE	113,257	0.22	546	216	4,448.56
21	ENGINE	89,687	0.18	602	36	4,388.61
22	TEST	116,148	0.23	421	259	4,371.54
23	VALVE	84,426	0.17	361	9	4,365.09
24	FEB	86,074	0.17	862	26	4,285.59
25	DOOR	96,677	0.19	563	110	4,222.42
26	POSITION	104,961	0.21	636	185	4,203.47
27	ELECTRICAL	81,560	0.16	505	29	4,022.62
28	HYDRAULIC	74,981	0.15	291	1	3,963.57
29	MM	73,283	0.14	759	2	3,859.12
30	SYSTEM	114,438	0.23	732	363	3,815.60

N	Keyword	Content or Function word	Keywords in Context (KWIC)	Noun or Verb	Can be represented by an image?	Selected
1	#	Symbol	Only the Ethernet port #2 is used to connect a cabin system to use the two HSD SATCOM services	N (means“number”)	No	No
2	REF	Abbreviated word	NO SMOKING/ FASTEN SEATBELT SIGN REF 23-73-00	N/V (means reference/refer)	No	No
3	C	Letter	C. Referenced Information	used as an item in a list	No	No
4	TASK	Content word	TASK 52-30-00-860-002-A	N	No	No
5	AIRCRAFT	Content word	Aircraft Maintenance Manual	N	Yes	Yes
6	MAINTENANCE	Content word	Aircraft Maintenance Manual	N	No	No
7	MANUAL	Content word	Aircraft Maintenance Manual	N	Yes	Yes
8	REMOVE	Content word	Remove the access platform(s). / Remove the locking tool (2) from the flap/slat control lever (1).	V	No	No
9	SUBTASK	Content word	Subtask 30-21-49-862-065-A	N	No	No
10	ACCESS	Content word	Put the ACCESS PLATFORM 5M (16 FT)- ADJUSTABLE in position: / Removal of the Access Panel	N	No	No
11	REVISION	Content word	Revision n : 40	N	No	No
12	REPAIR	Content word	[...] do a check and repair the WIRING if necessary between the related: BALLAST UNIT connector A/C and its CB [...]	V	No	No
13	AMM	Acronym	Aircraft Maintenance Manual	N	Yes	Yes
14	FIG	Abbreviated word	Figure	N	No	No
15	PANEL	Content Word	Make sure that the warning notices are in position to tell persons not to pressurize the Green, the Yellow and the Blue hydraulic systems: in the cockpit on the hydraulic section 40VU of the overhead panel, on the ground service panels of the Green, Yellow and Blue hydraulic systems.	N	Yes	Yes
16	S	Letter (indicates the word“second”)	[...] a 1000 Hz audio signal is triggered, interruption of the signal after 15 s approximately, triggering of the signal at each attempt to transmit.	N	No	No
17	SURE	Content Word	Make sure that this(these) circuit breaker(s) is(are) open, safetied and tagged: [...]	V	No	No