ATC-ANNO: Semantic Annotation for Air Traffic Control with Assistive Auto-Annotation

Marc Schulder, Johannah O’Mahony, Yury Bakanouski, Dietrich Klakow


Abstract
In air traffic control, assistant systems support air traffic controllers in their work. To improve the reactivity and accuracy of the assistant, automatic speech recognition can monitor the commands uttered by the controller. However, to provide sufficient training data for the speech recognition system, many hours of air traffic communications have to be transcribed and semantically annotated. For this purpose we developed the annotation tool ATC-ANNO. It provides a number of features to support the annotator in their task, such as auto-complete suggestions for semantic tags, access to preliminary speech recognition predictions, syntax highlighting and consistency indicators. Its core assistive feature, however, is its ability to automatically generate semantic annotations. Although it is based on a simple hand-written finite state grammar, it is also able to annotate sentences that deviate from this grammar. We evaluate the impact of different features on annotator efficiency and find that automatic annotation allows annotators to cover four times as many utterances in the same time.
Anthology ID:
2020.lrec-1.783
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
6375–6380
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.783
DOI:
Bibkey:
Cite (ACL):
Marc Schulder, Johannah O’Mahony, Yury Bakanouski, and Dietrich Klakow. 2020. ATC-ANNO: Semantic Annotation for Air Traffic Control with Assistive Auto-Annotation. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 6375–6380, Marseille, France. European Language Resources Association.
Cite (Informal):
ATC-ANNO: Semantic Annotation for Air Traffic Control with Assistive Auto-Annotation (Schulder et al., LREC 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.783.pdf