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Sign recognition: the effect of parameters and features in sign mispronunciations

  • Carlo Geraci ORCID logo EMAIL logo , Lena Pasalskaya and Sharon Peperkamp
Published/Copyright: November 25, 2024

Abstract

We investigate the degree to which mispronounced signs can be accommodated by signers of French Sign Language (LSF). Using an offline judgment task, we examine both the individual contributions of three parameters – handshape, movement, and location – to sign recognition, and the impact of the individual features that were manipulated to obtain the mispronounced signs. Results indicate that signers judge mispronounced handshapes to be less damaging for well-formedness than mispronounced locations or movements. In addition to this macro-effect of parameter, individual features are found to carry different weights during sign recognition, mirroring what has been reported for phonological features in spoken languages. Together, these results thus further support an underlying a-modal phonological architecture for human language, including feature-based phonological representations.

French Abstract

Nous étudions dans quelle mesure les signes mal prononcés sont reconnus par les locuteurs de la langue des signes française (LSF). En utilisant une tâche de jugement hors ligne, nous examinons à la fois les contributions individuelles de trois paramètres à la reconnaissance des signes, à savoir la configuration des mains, le mouvement, et l’emplacement, et l’impact des traits individuels qui ont été manipulés pour obtenir les signes mal prononcés. Les résultats indiquent que des erreurs dans la configuration des mains sont moins préjudiciables que celles dans l’emplacement ou le mouvement. En plus de ce macro-effet de paramètre, les traits individuels ont des poids différents lors de la reconnaissance des signes, ce qui reflète ce qui a été rapporté pour les traits phonologiques dans les langues parlées. L’ensemble de ces résultats confirme l’existence d’une architecture phonologique a-modale sous-jacente pour le langage humain, y compris les représentations phonologiques basées sur les traits.


Corresponding author: Carlo Geraci, Institut Jean Nicod (ENS, EHESS, CNRS), Ecole Normale Supérieure – PSL, 29 rue d’Ulm, 75005 Paris, France, E-mail:

Award Identifier / Grant number: 788077 Orisem

Award Identifier / Grant number: ANR-17-CE28-0007-01

Award Identifier / Grant number: ANR-17-EURE-0017

Acknowledgments

We would like to thank Thomas Leveque, our Deaf consultant, for help with identifying the correct stimuli and recording the instruction videos; Angélique Jaber, who acted as the L2 LSF learner for the stimuli; and Justine Mertz for providing us with the biographic and language background questionnaire in LSF.

  1. Author contributions: Carlo Geraci: Conceptualization, Methodology, Resources, Supervision, Writing. Lena Pasalskaya: Methodology, Resources, Software, Investigation, Data curation. Sharon Peperkamp: Conceptualization, Methodology, Data curation, Formal analysis, Supervision, Writing.

  2. Research funding: This research was funded by grants from the Agence Nationale de la Recherche (ANR-17-EURE-0017, ANR-17-CE28-0007-01). Part of the research leading to these results received funding from the European Research Council under the European Union’s Seventh Framework Programme (FP/2007–2013) ERC H2020 Grant Agreement No. 788077–Orisem (PI: Schlenker). A CC-BY public copyright license has been applied by the authors to the present article.

  3. Competing interests: The authors have no competing interest to declare.

Appendix

Table 2 provides the list of stimuli and their manipulations.

Table 2:

Experimental items. Mispronunciations are indicated by “+”.

Item Handshape Location Movement
Extended thumb Bend Spread Horizontal Vertical Flip Repetition Horizontal-vertical Inverse
Butcher + + +
Girl + + +
Professor + + +
Elephant + + +
Black + + +
Horse + + +
Chocolate + + +
Honey + + +
Paris + + +
Kitchen + + +
School + + +
Greece + + +
Cigarette + + +
Tiger + + +
City + + +
Flag + + +
Stamp + + +
Thousand + + +
Dog + + +
Green + + +
Doctor + + +
Sheep + + +
Fish + + +
Animal + + +
Egg + + +
Covid + + +
Death + + +

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Received: 2024-04-16
Accepted: 2024-09-09
Published Online: 2024-11-25

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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