Article published in:
Target
Vol. 33:1 (2021) ► pp. 73–102

Automatic speech recognition in the booth

Assessment of system performance, interpreters’ performances and interactions in the context of numbers

| Ghent University
| Johannes Gutenberg University Mainz
Automatic Speech Recognition (ASR) has been proposed as a means to enhance state-of-the-art computer-assisted interpreting (CAI) tools and to allow machine-learning techniques to enter the workflow of professional interpreters. In this article, we test the usefulness of real-time transcription with number highlighting of a source speech for simultaneous interpreting using InterpretBank ASR. The system’s precision is high (96%) and its latency low enough to fit interpreters’ ear–voice span (EVS). We evaluate the potential benefits among first-time users of this technology by applying an error matrix and by investigating the users’ subjective perceptions through a questionnaire. The results show that the ASR provision improves overall performance for almost all number types. Interaction with the ASR support is varied and participants consult it for just over half of the stimuli. The study also provides some evidence of the psychological benefits of ASR availability and of overreliance on ASR support.
Keywords: automatic speech recognition, simultaneous interpreting, rendition of numbers, computer-assisted interpreting
Published online: 26 November 2020
https://doi.org/10.1075/target.19166.def
References

References

Alessandrini, Maria Serena
1990 “Translating Numbers in Consecutive Interpretation: An Experimental Study.” The Interpreters’ Newsletter 3: 77–80.Google Scholar
Braun, Susanne, and Andrea Clarici
1996 “Inaccuracy for Numerals in Simultaneous Interpretation: Neurolinguistic and Neuropsychological Perspectives.” The Interpreters’ Newsletter 7: 85–102.Google Scholar
Brüsewitz, Nora
2019 “Simultandolmetschen 4.0: Ist automatische Spracherkennung der nächste Schritt? [Simultaneous interpreting 4.0: Is automatic speech recognition the next step?]” In Proceedings of Übersetzen und Dolmetschen 4.0. – Neue Wege im digitalen Zeitalter [Translation and Interpreting 4.0 – New Paths in the Digital Era], edited by Wolfram Bauer and Felix Mayer, 323–333. Berlin: BDÜ Fachverlag.Google Scholar
Christoffels, Ingrid K.
2004 Cognitive Studies in Simultaneous Interpreting. PhD diss. University of Amsterdam.Google Scholar
Collard, Camille
2019 A Corpus-based Study of Simultaneous Interpreting with Special Reference to Sex. PhD diss. Ghent University.Google Scholar
Corpas Pastor, Gloria, and Lily May Fern
2016 A Survey of Interpreters’ Needs and Practices Related to Language Technology. Technical report [FFI2012-38881-MINECO/TI-DT-2016-1]. Málaga: University of Málaga.Google Scholar
Defrancq, Bart
2015 “Corpus-based Research into the Presumed Effects of Short EVS.” Interpreting 17 (1): 26–45. CrossrefGoogle Scholar
Desmet, Bart, Mieke Vandierendonck, and Bart Defrancq
2018 “Simultaneous Interpretation of Numbers and the Impact of Technological Support.” In Interpreting and Technology, edited by Claudio Fantinuoli, 11–24. Berlin: Language Science Press.Google Scholar
Fantinuoli, Claudio
2017 “Speech Recognition in the Interpreter Workstation.” In Translating and the Computer 39: Proceedings, edited by João Esteves-Ferreira, Juliet Macan, Ruslan Mitkov, and Olaf-Michael Stefanov, 25–34. Geneva: Editions Tradulex.Google Scholar
2018 “Interpreting and Technology: The Upcoming Technological Turn.” In Interpreting and Technology, edited by Claudio Fantinuoli, 1–12. Berlin: Language Science Press.Google Scholar
Frittella, Francesca Maria
2019 “ ‘70.6 Billion World Citizens’: Investigating the Difficulty of Interpreting Numbers.” Translation and Interpreting 11 (1): 79–99. CrossrefGoogle Scholar
Gile, Daniel
1995 Regards sur la recherche en interprétation de conférence [Views on Conference Interpreting Research]. Lille: Presses Universitaires de Lille.Google Scholar
Jones, Roderick
2002 Conference Interpreting Explained. 2nd ed. Manchester: St Jerome Publishing.Google Scholar
Korpal, Paweł
2016 Linguistic and Psychological Indicators of Stress in Simultaneous Interpreting. PhD diss. Adam Mickiewicz University.Google Scholar
Korpal, Paweł, and Katarzyna Stachowiak-Szymczak
2020 “Combined Problem Triggers in Simultaneous Interpreting: Exploring the Effect of Delivery Rate on Processing and Rendering Numbers.” Perspectives: Studies in Translation Theory and Practice 28 (1): 126–143. CrossrefGoogle Scholar
Lamberger-Felber, Heike
2001 “Text-oriented Research into Interpreting – Examples from a Case-study.” Hermes 26: 39–64.Google Scholar
Mazza, Cristina
2001 “Numbers in Simultaneous Interpretation.” The Interpreters’ Newsletter 11: 87–104.Google Scholar
Mead, Peter
2015 “Numbers.” In Routledge Encyclopedia of Interpreting Studies, edited by Franz Pöchhacker, 286–288. Abingdon: Routledge.Google Scholar
Oléron, Pierre, and Hubert Nanpon
1965/2002 “Research into Simultaneous Translation.” In The Interpreting Studies Reader, edited by Franz Pöchhacker and Miriam Shlesinger, 42–51. London: Routledge.Google Scholar
Pinochi, Diletta
2009 “Simultaneous Interpretation of Numbers: Comparing German and English to Italian. An Experimental Study.” The Interpreters’ Newsletter 14: 33–57.Google Scholar
Prandi, Bianca
2018 “An Exploratory Study on CAI Tools in Simultaneous Interpreting: Theoretical Framework and Stimulus Validation.” In Interpreting and Technology, edited by Claudio Fantinuoli, 25–54. Berlin: Language Science Press.Google Scholar
Setton, Robin, and Andrew Dawrant
2016 Conference Interpreting: A Complete Course. Amsterdam: John Benjamins. CrossrefGoogle Scholar
Timarová, Sarka
2012  Working Memory in Simultaneous Interpreting . PhD diss. KU Leuven.Google Scholar
Vogler, Nicolai, Craig Stewart, and Graham Neubig
2019 “Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation.” ArXiv:1904.00930 [Cs]. http://​arxiv​.org​/abs​/1904​.00930