Rethinking handshape

2019 ◽  
Vol 22 (1) ◽  
pp. 83-111
Author(s):  
Ella Wehrmeyer
Keyword(s):  
Sign Language ◽  
South African ◽  
Primary Data ◽  
Visual Images ◽  
Joint Angles ◽  
Sign Languages ◽  
Phonetic Variation ◽  
International Phonetic Alphabet ◽  
Hand Physiology

Abstract Concerted attention in sign language linguistics has focused on finding ways to document signs. Until now, most notation systems rely on a complex plethora of symbols and are under-specific, to the extent that visual images are still the most widely accepted way of recording primary data. This paper presents a novel phonetic notation of handshape in a step towards deriving an International Phonetic Alphabet for sign languages, based on digit shape (configuration) and position in terms of reference coordinates, aiming at both readability and precision. It is sufficiently hybrid to allow for both accurate measurements and estimates of digit positions, thereby affording a way of representing handshapes suitable for lexicography, studying phonetic variation and avatar programming. Originally tailored to describe handshapes in South African Sign Language, it can also notate gestures. After discussing transcription methods and hand physiology, digit configurations are defined in terms of joint angles. Variations in configuration positions are then specified in terms of Cartesian reference coordinates.

scholarly journals How much can classifiers be analogous to their referents?

Gesture ◽  
2013 ◽  
Vol 13 (1) ◽  
pp. 1-27 ◽  
Author(s):  
Rachel Sutton-Spence ◽  
Donna Jo Napoli
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
Visual Images ◽  
American Sign ◽  
Language Poetry ◽  
Sign Languages ◽  
Classifier System ◽  
Signed Languages ◽  
British Sign Language ◽  
British Sign

Sign Language poetry is especially valued for its presentation of strong visual images. Here, we explore the highly visual signs that British Sign Language and American Sign Language poets create as part of the ‘classifier system’ of their languages. Signed languages, as they create visually-motivated messages, utilise categoricity (more traditionally considered ‘language’) and analogy (more traditionally considered extra-linguistic and the domain of ‘gesture’). Classifiers in sign languages arguably show both these characteristics (Oviedo, 2004). In our discussion of sign language poetry, we see that poets take elements that are widely understood to be highly visual, closely representing their referents, and make them even more highly visual — so going beyond categorisation and into new areas of analogue.

Constituent order in Flemish Sign Language (VGT) and South African Sign Language (SASL)

2007 ◽  
Vol 10 (1) ◽  
pp. 23-54 ◽  
Author(s):  
Myriam Vermeerbergen ◽  
Mieke Van Herreweghe ◽  
Philemon Akach ◽  
Emily Matabane
Keyword(s):  
Sign Language ◽  
South African ◽  
Word Order ◽  
Sign Languages ◽  
Constituent Order ◽  
Degree Of Similarity

This paper reports on a comparison of word order issues, and more specifically on the order of the verb and its arguments, in two unrelated sign languages: South African Sign Language and Flemish Sign Language. The study comprises the first part of a larger project in which a number of grammatical mechanisms and structures are compared across the two sign languages, using a corpus consisting of similar VGT and SASL-data of a various nature. The overall goal of the project is to contribute to a further understanding of the issue of the degree of similarity across unrelated sign languages. However, the different studies also mean a further exploration of the grammars of the two languages involved. In this paper the focus is on the analysis of isolated declarative sentences elicited by means of pictures. The results yield some interesting similarities across all signers but also indicate that — especially with regard to constituent order — there are important differences between the two languages.

Negation and polar question–answer clauses in South African Sign Language

2020 ◽  
Author(s):  
Kate Huddlestone
Keyword(s):  
Sign Language ◽  
South African ◽  
Sign Languages ◽  
Language Literature

Abstract This paper contributes to the typological debate of whether sign languages should be divided into manual versus non-manual dominant languages, w.r.t. negation, a distinction that has recently been challenged (Johnston 2018) or argued to be too radical (Oomen & Pfau 2017), by providing a characterization of negation in South African Sign Language (SASL). It has also been observed in several sign languages that a construction which consists of a yes-no question followed by a negative fragment answer, both produced by the same speaker, can be used to negate a proposition. While this question-answer pair construction has received attention in the recent sign language literature, it is only mentioned in passing in the literature on negation. In this paper, I provide an analysis of these polar question-answer clauses as a grammaticalized negation strategy in SASL, following Caponigro and Davidson’s (2011) analysis of this construction in ASL.

scholarly journals Sentential negation in South African Sign Language: A case study

Literator ◽  
2016 ◽  
Vol 37 (1) ◽  
Author(s):  
Courtney De Barros ◽  
Ian Siebörger
Keyword(s):  
Sign Language ◽  
South African ◽  
Binding Theory ◽  
Negative Particle ◽  
Sign Languages ◽  
Secondary Role ◽  
Sentential Negation ◽  
Government And Binding Theory ◽  
Native Signers

As with other sign languages, South African Sign Language (SASL) expresses negation using both manual and non-manual features. In this case study, naturalistic data provided by two native signers of SASL are analysed to show the syntactic relationship between these two sets of features. Using a Principles and Parameters approach and Government and Binding Theory, we investigate the syntactic scope of negation in our SASL data. We observe that side-to-side headshake, as a non-manual feature, appears to be the chief clausal negator in SASL, with a clause-final manual negative particle, NOT, playing a secondary role. We describe the negative headshake as a featural affix which is base-generated in the head of NegP and triggers V-to-Neg raising. The negative particle NOT appears to be base-generated in the Specifier of NegP. Suggestions for further syntactic research on SASL are provided.

scholarly journals Dataglove measurement of joint angles in sign language handshapes

2012 ◽  
Vol 15 (1) ◽  
pp. 39-72 ◽  
Author(s):  
Petra Eccarius ◽  
Rebecca Bour ◽  
Robert A. Scheidt
Keyword(s):  
Sign Language ◽  
Quantitative Measurement ◽  
Joint Angle ◽  
Comprehensive Analysis ◽  
Joint Angles ◽  
Phonetic Variation ◽  
Data Glove ◽  
Finger Joints ◽  
Language Research ◽  
Research Questions

In sign language research, we understand little about articulatory factors involved in shaping phonemic boundaries or the amount (and articulatory nature) of acceptable phonetic variation between handshapes. To date, there exists no comprehensive analysis of handshape based on the quantitative measurement of joint angles during sign production. The purpose of our work is to develop a methodology for collecting and visualizing quantitative handshape data in an attempt to better understand how handshapes are produced at a phonetic level. In this pursuit, we seek to quantify the flexion and abduction angles of the finger joints using a commercial data glove (CyberGlove; Immersion Inc.). We present calibration procedures used to convert raw glove signals into joint angles. We then implement those procedures and evaluate their ability to accurately predict joint angle. Finally, we provide examples of how our recording techniques might inform current research questions.

Crosslinguistic similarity and variation in the simultaneous morphology of sign languages

2020 ◽  
Vol 37 (4) ◽  
pp. 571-608
Author(s):  
Diane Brentari ◽  
Laura Horton ◽  
Susan Goldin-Meadow
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
Optimality Theory ◽  
Sign Languages ◽  
British Sign Language ◽  
Verb Phrases ◽  
Classifier Predicates ◽  
Crosslinguistic Variation ◽  
Hong Kong Sign Language ◽  
British Sign

Abstract Two differences between signed and spoken languages that have been widely discussed in the literature are: the degree to which morphology is expressed simultaneously (rather than sequentially), and the degree to which iconicity is used, particularly in predicates of motion and location, often referred to as classifier predicates. In this paper we analyze a set of properties marking agency and number in four sign languages for their crosslinguistic similarities and differences regarding simultaneity and iconicity. Data from American Sign Language (ASL), Italian Sign Language (LIS), British Sign Language (BSL), and Hong Kong Sign Language (HKSL) are analyzed. We find that iconic, cognitive, phonological, and morphological factors contribute to the distribution of these properties. We conduct two analyses—one of verbs and one of verb phrases. The analysis of classifier verbs shows that, as expected, all four languages exhibit many common formal and iconic properties in the expression of agency and number. The analysis of classifier verb phrases (VPs)—particularly, multiple-verb predicates—reveals (a) that it is grammatical in all four languages to express agency and number within a single verb, but also (b) that there is crosslinguistic variation in expressing agency and number across the four languages. We argue that this variation is motivated by how each language prioritizes, or ranks, several constraints. The rankings can be captured in Optimality Theory. Some constraints in this account, such as a constraint to be redundant, are found in all information systems and might be considered non-linguistic; however, the variation in constraint ranking in verb phrases reveals the grammatical and arbitrary nature of linguistic systems.

scholarly journals Interpretation of Swedish Sign Language Using Convolutional Neural Networks and Transfer Learning

2021 ◽  
Vol 2 (3) ◽  
Author(s):  
Gustaf Halvardsson ◽  
Johanna Peterson ◽  
César Soto-Valero ◽  
Benoit Baudry
Keyword(s):  
Neural Networks ◽  
Sign Language ◽  
Transfer Learning ◽  
Convolutional Neural Networks ◽  
Web Application ◽  
Training Dataset ◽  
Motion Processing ◽  
Image Perception ◽  
Sign Languages ◽  
High Level

AbstractThe automatic interpretation of sign languages is a challenging task, as it requires the usage of high-level vision and high-level motion processing systems for providing accurate image perception. In this paper, we use Convolutional Neural Networks (CNNs) and transfer learning to make computers able to interpret signs of the Swedish Sign Language (SSL) hand alphabet. Our model consists of the implementation of a pre-trained InceptionV3 network, and the usage of the mini-batch gradient descent optimization algorithm. We rely on transfer learning during the pre-training of the model and its data. The final accuracy of the model, based on 8 study subjects and 9400 images, is 85%. Our results indicate that the usage of CNNs is a promising approach to interpret sign languages, and transfer learning can be used to achieve high testing accuracy despite using a small training dataset. Furthermore, we describe the implementation details of our model to interpret signs as a user-friendly web application.

Teaching South African Sign Language as a second language to university students: an integrated pedagogy

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Marga Stander ◽  
Annemarie Le Roux
Keyword(s):  
Second Language ◽  
University Students ◽  
Sign Language ◽  
South African ◽  
Teaching And Learning ◽  
Integrated Approach ◽  
Specific Method ◽  
Language Curriculum ◽  
Popular Language ◽  
Output Hypothesis

Abstract South African Sign Language (SASL) has become an increasingly popular language that hearing university students want to learn as a second language. This requires more qualified SASL instructors and new curricula at South African universities. This paper considers ways in which challenges associated with the teaching and learning of SASL can be overcome. Krashen’s Comprehension Input Hypothesis and Swain’s Output Hypothesis form the theoretical framework as reference to our own independent experience, praxis, and reflection. This study considered different teaching methods and pedagogies and found the post-method approach suggested by Kumaravadivelu (2003) a viable method for teaching SASL as a second language. This method aligns with the method we had independently identified as the most empowering for teachers to create their own strategies focused on their intuition, experiences and pedagogy. Therefore, we do not favour one specific method above another, but rather adopt an integrated approach. We make a few suggestions regarding sign language curriculum content and further research in sign language as an L2, which need urgent attention.

scholarly journals Computer-assisted sign language translation: a study of translators’ practice to specify CAT software

2021 ◽  
Author(s):  
Marion Kaczmarek ◽  
Michael Filhol
Keyword(s):  
Sign Language ◽  
Language Translation ◽  
Computer Assisted ◽  
Translation Process ◽  
Sign Languages ◽  
Subjective Data ◽  
Do So

AbstractProfessional Sign Language translators, unlike their text-to-text counterparts, are not equipped with computer-assisted translation (CAT) software. Those softwares are meant to ease the translators’ tasks. No prior study as been conducted on this topic, and we aim at specifying such a software. To do so, we based our study on the professional Sign Language translators’ practices and needs. The aim of this paper is to identify the necessary steps in the text-to-sign translation process. By filming and interviewing professionals for both objective and subjective data, we build a list of tasks and see if they are systematic and performed in a definite order. Finally, we reflect on how CAT tools could assist those tasks, how to adapt the existing tools to Sign Language and what is necessary to add in order to fit the needs of Sign Language translation. In the long term, we plan to develop a first prototype of CAT software for sign languages.

The FATE Landscape of Sign Language AI Datasets

2021 ◽  
Vol 14 (2) ◽  
pp. 1-45
Author(s):  
Danielle Bragg ◽  
Naomi Caselli ◽  
Julie A. Hochgesang ◽  
Matt Huenerfauth ◽  
Leah Katz-Hernandez ◽  
...  
Keyword(s):  
Sign Language ◽  
New Technology ◽  
Individual Data ◽  
Community Members ◽  
Sign Languages ◽  
Language Data ◽  
History Of ◽  
Language Technologies ◽  
And Storage ◽  
Access Mechanisms

Sign language datasets are essential to developing many sign language technologies. In particular, datasets are required for training artificial intelligence (AI) and machine learning (ML) systems. Though the idea of using AI/ML for sign languages is not new, technology has now advanced to a point where developing such sign language technologies is becoming increasingly tractable. This critical juncture provides an opportunity to be thoughtful about an array of Fairness, Accountability, Transparency, and Ethics (FATE) considerations. Sign language datasets typically contain recordings of people signing, which is highly personal. The rights and responsibilities of the parties involved in data collection and storage are also complex and involve individual data contributors, data collectors or owners, and data users who may interact through a variety of exchange and access mechanisms. Deaf community members (and signers, more generally) are also central stakeholders in any end applications of sign language data. The centrality of sign language to deaf culture identity, coupled with a history of oppression, makes usage by technologists particularly sensitive. This piece presents many of these issues that characterize working with sign language AI datasets, based on the authors’ experiences living, working, and studying in this space.

Sign in / Sign up

Export Citation Format

Share Document