Processing speech acts: spoken communication for aircraft maintenance

Authors

  • Savvas Chatzipanayiotidis University of Cyprus, Cyprus Author
  • Christina Alexandris University of Cyprus, Cyprus Author

DOI:

https://doi.org/10.36505/ExLing-2023/14/0007/000601

Keywords:

Spoken technical texts, Speech acts, Template-based slot-filling framework, Commands, Aircraft maintenance, NLU

Abstract

The identification of speech act types and speech act content constitutes the basis for the construction and implementation of a flexible template-based, slot-filling framework for spoken technical texts in the domain of aircraft maintenance for its direct deployment or its subsequent integration in neural network approaches and/or as training data. Keywords extracted from the content of each spoken utterance (620 expressions, approximately 2800 spoken utterances) are integrated into the “generic-intent” slot of the template-based, slot-filling framework, which is, in turn, linked to the respective speech act. The mandatory recognition of two keywords in complementary relation (x,y) within the framework is observed to produce correct results for Greek spoken technical texts.

 

References

Jurafsky, D., Martin, J. H. 2022 (3rd ed.). Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition.

Lehrndorfer, A. 1996. Kontrolliertes Deutsch: Linguistische und Sprachpsychologische Leitlinien für eine (maschinell) kontrollierte Sprache in der technischen Dokumentation. Tübingen, Germany: Gunter Narr Verlag.

Okur, E., Kumar, S. H., Sahay, S., et al. 2023. Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances.

Wojcik, R. H., Holmback, H. 1996. Getting a controlled language off the ground at Boeing. In Proceedings of CLAW–1996, 22-31. Leuven, Belgium.

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Published

01-01-2023

How to Cite

Processing speech acts: spoken communication for aircraft maintenance. (2023). Linguistic Proceedings Series, 14, 25-28. https://doi.org/10.36505/ExLing-2023/14/0007/000601

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