Tunisigner: an Avatar Based System to Interpret Signwriting Notations
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Deaf and in Need : Finding Culturally Sensitive Human Services
California State University, Monterey Bay Digital Commons @ CSUMB Capstone Projects and Master's Theses 2007 Deaf and in need : finding culturally sensitive human services Colleen M. Moore California State University, Monterey Bay Follow this and additional works at: https://digitalcommons.csumb.edu/caps_thes Recommended Citation Moore, Colleen M., "Deaf and in need : finding culturally sensitive human services" (2007). Capstone Projects and Master's Theses. 350. https://digitalcommons.csumb.edu/caps_thes/350 This Capstone Project is brought to you for free and open access by Digital Commons @ CSUMB. It has been accepted for inclusion in Capstone Projects and Master's Theses by an authorized administrator of Digital Commons @ CSUMB. Unless otherwise indicated, this project was conducted as practicum not subject to IRB review but conducted in keeping with applicable regulatory guidance for training purposes. For more information, please contact [email protected]. Deaf and in Need: Finding Culturally Sensitive Human Services © 2007 Colleen M Moore. All Rights Reserved. 1 INTRODUCTION Imagine that you are unable to provide food for your family or must obtain housing, health care, psychiatric services, child care, family planning services or any other human service; you are unable to gain access to these things due to any number of difficult life circumstances. You must go to the local Department of Social and Employment Services (California), apply for aid, surrender private information and face the potential emotional backlash or shame that, for some, accompanies the decision to ask for help. Now imagine that you are a member of a cultural group that uses a language, customs and social mores unknown to most people. -
An Animated Avatar to Interpret Signwriting Transcription
An Animated Avatar to Interpret SignWriting Transcription Yosra Bouzid Mohamed Jemni Research Laboratory of Technologies of Information and Research Laboratory of Technologies of Information and Communication & Electrical Engineering (LaTICE) Communication & Electrical Engineering (LaTICE) ESSTT, University of Tunis ESSTT, University of Tunis [email protected] [email protected] Abstract—People with hearing disability often face multiple To address this issue, different methods and technologies barriers when attempting to interact with hearing society. geared towards deaf communication have been suggested over The lower proficiency in reading, writing and understanding the the last decades. For instance, the use of sign language spoken language may be one of the most important reasons. interpreters is one of the most common ways to ensure a Certainly, if there were a commonly accepted notation system for successful communication between deaf and hearing persons in sign languages, signed information could be provided in written direct interaction. But according to a WFD survey in 2009, 13 form, but such a system does not exist yet. SignWriting seems at countries out of 93 do not have any sign language interpreters, present the best solution to the problem of SL representation as it and in many of those countries where there are interpreters, was intended as a practical writing system for everyday there are serious problems in finding qualified candidates. communication, but requires mastery of a set of conventions The digital technologies, particularly video and avatar-based different from those of the other transcriptions systems to become a proficient reader or writer. To provide additional systems, contribute, in turn, in bridging the communication support for deaf signers to learn and use such notation, we gap. -
Analysis of Notation Systems for Machine Translation of Sign Languages
Analysis of Notation Systems for Machine Translation of Sign Languages Submitted in partial fulfilment of the requirements of the degree of Bachelor of Science (Honours) of Rhodes University Jessica Jeanne Hutchinson Grahamstown, South Africa November 2012 Abstract Machine translation of sign languages is complicated by the fact that there are few stan- dards for sign languages, both in terms of the actual languages used by signers within regions and dialogue groups, and also in terms of the notations with which sign languages are represented in written form. A standard textual representation of sign languages would aid in optimising the translation process. This area of research still needs to determine the best, most efficient and scalable tech- niques for translation of sign languages. Being a young field of research, there is still great scope for introducing new techniques, or greatly improving on previous techniques, which makes comparing and evaluating the techniques difficult to do. The methods used are factors which contribute to the process of translation and need to be considered in an evaluation of optimising translation systems. This project analyses sign language notation systems; what systems exists, what data is currently available, and which of them might be best suited for machine translation purposes. The question being asked is how using a textual representation of signs could aid machine translation, and which notation would best suit the task. A small corpus of SignWriting data was built and this notation was shown to be the most accessible. The data was cleaned and run through a statistical machine translation system. The results had limitations, but overall are comparable to other translation systems, showing that translation using a notation is possible, but can be greatly improved upon. -
Automated Sign Language Translation: the Role of Artificial Intelligence Now and in the Future
Automated Sign Language Translation: The Role of Artificial Intelligence Now and in the Future Lea Baumgartner,¨ Stephanie Jauss, Johannes Maucher and Gottfried Zimmermann Hochschule der Medien, Nobelstraße 10, 70569 Stuttgart, Germany Keywords: Sign Language Translation, Sign Language Recognition, Sign Language Generation, Artificial Intelligence. Abstract: Sign languages are the primary language of many people worldwide. To overcome communication barriers between the Deaf and the hearing community, artificial intelligence technologies have been employed, aiming to develop systems for automated sign language recognition and generation. Particularities of sign languages have to be considered - though sharing some characteristics of spoken languages - since they differ in others. After providing the linguistic foundations, this paper gives an overview of state-of-the-art machine learning approaches to develop sign language translation systems and outlines the challenges in this area that have yet to be overcome. Obstacles do not only include technological issues but also interdisciplinary considerations of development, evaluation and adoption of such technologies. Finally, opportunities and future visions of automated sign language translation systems are discussed. 1 INTRODUCTION There are, however, differences in how sign lan- guages work in detail, some of which are mentioned A basic understanding of the particularities and no- using the example of American Sign Language (ASL) tation of sign language serves to better understand in the following. Since suffixes to verbs like in spoken the importance and challenges of automated sign lan- languages are not possible, ASL tenses are built by guage translation. We use both the terms deaf and adding words in the beginning or at the end of a sen- Deaf throughout this paper, the first referring solely tence. -
Writing Signed Languages: What For? What Form? Donald A
Writing Signed Languages: What For? What Form? Donald A. Grushkin American Annals of the Deaf, Volume 161, Number 5, Winter 2017, pp. 509-527 (Article) Published by Gallaudet University Press DOI: https://doi.org/10.1353/aad.2017.0001 For additional information about this article https://muse.jhu.edu/article/648961 Access provided by University of Connecticut @ Storrs (9 Jun 2017 21:07 GMT) 18991-AAD161.5_Winter2017 2/9/17 2:54 PM Page 509 Grushkin, D. A. (2017). Writing signed languages: What for? What form? American Annals of the Deaf, 161 (5), 509–527. WRITING SIGNED LANGUAGES : W HAT FOR ? WHAT FORM ? IGNED LANGUAGES around the world have tended to maintain an “oral,” unwritten status. Despite the advantages of possessing a written form of their language, signed language communities typically resist and reject attempts to create such written forms. The present article ad - dresses many of the arguments against written forms of signed lan - guages, and presents the potential advantages of writing signed languages. Following a history of the development of writing in spoken as well as signed language populations, the effects of orthographic types upon literacy and biliteracy are explored. Attempts at writing signed lan - guages have followed two primary paths: “alphabetic” and “icono - graphic.” It is argued that for greatest congruency and ease in developing biliteracy strategies in societies where an alphabetic script is used for the spoken language, signed language communities within Sthese societies are best served by adoption of an alphabetic script for DONALD A. G RUSHKIN writing their signed language. Keywords: writing, written signed the development of a conventionally GRUSHKIN IS A PROFESSOR , D EAF STUDIES languages, biliteracy, Deaf education, accepted written system for signed lan - PROGRAM , C ALIFORNIA STATE UNIVERSITY , orthography guages has yet to take place. -
Hamnosys – Representing Sign Language Data in Language Resources and Language Processing Contexts
HamNoSys – Representing Sign Language Data in Language Resources and Language Processing Contexts Thomas Hanke University of Hamburg Institute of German Sign Language and Communication of the Deaf Binderstraße 34, 20146 Hamburg, Germany [email protected] Abstract This paper gives a short overview of the Hamburg Notation System for Sign Languages (HamNoSys) and describes its application areas in language resources for sign languages and in sign language processing. More than fifteen years after the first published 1. Introduction version, HamNoSys is now at version 4 The Hamburg Notation System for Sign Languages (Schmaling/Hanke, 2001). This latest version filled some (HamNoSys) is an alphabetic system describing signs on a minor gaps and introduced some shortcuts, but more mostly phonetic level. As many sign notation systems importantly addressed issues related to using HamNoSys developed in the last 30 years, it has its roots in the Stokoe in a sign language generation context. For the latter notation system that introduced an alphabetic system to purpose, it was also complemented with a new set of describe the sublexical parameters location, hand systems to encode nonmanual behaviour in a detailedness configuration (in most cases, the handshape only) and not previously possible in HamNoSys. movement to give a phonological description of American Sign Language signs (Stokoe, 1960). 2. Overview of the System HamNoSys (first version defined in 1984, first published version Prillwitz et al., 1987), however, was 2.1. General Structure designed to be usable in a variety of contexts with the A HamNoSys notation for a single sign consists of a following goals in mind: description of the initial posture (describing nonmanual • International use: HamNoSys transcriptions should be features, handshape, hand orientation and location) plus possible for virtually all sign languages in the world, the actions changing this posture in sequence or in and the notation should not rely on conventions parallel. -
Broughton 1 Deafness in the Arab World
Broughton 1 Deafness in the Arab world: a general investigation, with Lebanon as a case study' Michael Broughton II A thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Arts in Linguistics Swarthmore College Fall 2017 Abstract This investigation examines the causes and implications of deafness in the region known as the Arab world. Deafness is present in Arab countries at rates far higher than those of North America and Europe, and much of it is congenital in nature. Marriage between family members is a common cultural practice throughout the Arab world, and the resulting consanguineous reproduction is thought to be a leading genetic cause of deafness in offspring. Because deafness is so prevalent in this region, a balanced perspective on it must come from several different directions. I work toward this by exploring ethical concerns about the genetic risk associated with consanguinity, discussing the presence of Arab sign languages, and characterizing the current state of deaf Arab education. I then incorporate literature about the linguistic validity of sign languages, and the idea that deafness can be considered a community-forming identity rather than a disability. The thesis ends with a case study about Lebanon, an Arab nation whose model for addressing issues associated with deafness might be useful for the needs of other Arab countries . • I would like to thank Donna Jo Napoli for inspiring me to embark on this project, and for the wisdom, advice, and experience that she has so freely given throughout my entire time at Swarthmore. I would also like to thank Melanie Drolsbaugh, whose engaging instruction about ASL and Deaf culture has deepened my understanding of how important sign languages and deaf studies truly are. -
Prepub Uncorrected Version
“LeeSchoenfeld-book” — 2021/1/11 — 15:30 — page 198 — #206 CHAPTER 8 Clause-Initial Vs in Sign Languages: Scene-Setters DONNA JO NAPOLI AND RACHEL SUTTON–SPENCE 8.1 INTRODUCTION Linguists often talk about the skeletal organization of a clause as involving three major elements: S, V, and sometimes O, where often that organization is taken as a major typological classifier (Greenberg 1963, and many since). With that terminology, this chapter concerns the semantics of clauses that have V as their first articulated major element in the sign languages of Brazil (Libras), Australia (Auslan), Britain (BSL), the Netherlands (Nederlandse Gebarentaal or NGT), and Sweden (Svenskt teckenspråk or STS). We will show that clauses in which the predicate and all its arguments are separately and manually expressed begin with the V only under well- circumscribed semantic conditions. We argue that the findings here are due to the iconic nature of sign languages and, thus, should hold of sign languages in general. 8.2 GENERAL CAVEATS Talking about clauses in sign languages is problematic because sign linguists have not settled on consistent syntactic criteria for determining what counts as a clause or a complete sentence (Crasborn 2007; Jartunen 2008). Com- plications arise especially when there is repetition of elements, particularly repetition of predicates (Fischer and Janis 1990; Kegl 1990; Matsuoka 1997, 1999; Bø 2010). We do, however, use the term clause in this chapter, where we rely on two factors in the analysis of our data. First, we rely on the semantic Parameters of Predicate Fronting. Vera Lee-Schoenfeld, Oxford University Press (2021). -
European Conference on Disability, Virtual Reality and Associated Technologies (ECDVRAT 1998)
Proceedings of the 2nd European conference on disability, virtual reality and associated technologies (ECDVRAT 1998) Book Published Version Conference Proceedings Sharkey, P., Rose, F. D. and Lindström, J.-I., eds. (1998) Proceedings of the 2nd European conference on disability, virtual reality and associated technologies (ECDVRAT 1998). ICDVRAT. The University of Reading, Reading, UK, pp265. ISBN 0704911418 Available at http://centaur.reading.ac.uk/27455/ It is advisable to refer to the publisher’s version if you intend to cite from the work. See Guidance on citing . Publisher: The University of Reading All outputs in CentAUR are protected by Intellectual Property Rights law, including copyright law. Copyright and IPR is retained by the creators or other copyright holders. Terms and conditions for use of this material are defined in the End User Agreement . www.reading.ac.uk/centaur CentAUR Central Archive at the University of Reading Reading’s research outputs online The 2nd European Conference on Disability, Virtual Reality and Associated Technologies Proceedings Edited by: Paul Sharkey (Programme Chair) David Rose (Conference Co-Chair) Jan-Ingvar Lindström (Conference Co-Chair) 10, 11 of September, 1998 Mount Billingen, Skövde, Sweden ECDVRAT ‘98 Proceedings: The papers appearing in this book comprise the proceedings of the Second European Conference on Disability, Virtual Reality and Associated Technologies, held on the 10th and 11th of September, 1998 at the Hotel Billingehus Conference Centre, Mount Billingen, Skövde, Sweden. The papers presented reflect the authors’ opinions and are published as presented and without change (formatting excepted). Their inclusion in this publication does not necessarily constitute endorsement by the editors, by ECDVRAT, or by the University of Reading. -
Deliverable: D1.3 Mapping Features to Hamnosys
SEVENTH FRAMEWORK PROGRAMME INFORMATION AND COMMUNICATION TECHNOLOGIES Cognitive Systems, Interaction, and Robotics Deliverable: D1.3 Mapping Features to HamNoSys Project acronym: Dicta-Sign Project full title: Sign Language Recognition, Generation and Modelling with Application in Deaf Communication Grant agreement no.: 231135 Status: V1.0 Date of preparation: 30/11/11 Contents 1 Acronyms 4 2 Introduction 5 2.1 Contributors . .5 3 Tracking and Detection 6 3.1 2D Tracking . .6 3.2 3D Tracking . .6 3.2.1 3D Trajectories Using Scene Flow . .6 3.2.2 Scene Particles . .7 3.3 Pose Estimation from Depth . .9 3.3.1 Poselet Representation . 10 3.3.2 Extracting poselets . 11 3.3.3 Detecting poselets . 11 3.3.4 Predictions and Inference . 12 3.3.5 Experiments . 12 4 Learnt Motion Features 13 4.1 Appearance based . 14 4.2 Tracking Based . 16 4.3 Results . 17 5 Deterministic Motion Features 17 5.1 2D Tracking . 17 5.2 3D Tracking . 18 6 Learnt Location Features 19 6.1 Appearance based . 19 6.2 Tracking Based . 20 6.3 Hierarchical Labels . 20 6.4 Results . 21 7 Deterministic Location Features 25 7.1 2D Tracking . 25 7.2 3D Tracking . 25 8 Learnt HandShape Features 27 8.1 Appearance . 27 8.2 Depth . 29 9 Phonetic-Based Sub-Unit Modelling (NTUA) 31 9.1 Phonetic Based Sub-units, Training, Alignment and Mapping to Phonetic Transcriptions . 31 9.2 Data and Visual Processing . 31 9.3 Phonetic Sub-Unit Model Training Alignment and Time Segmentation . 31 9.4 Conclusions . 32 10 Global-Local Active Appearance Modelling for Facial Cues (NTUA) 33 10.1 Global AAM Tracking . -
UC San Diego UC San Diego Electronic Theses and Dissertations
UC San Diego UC San Diego Electronic Theses and Dissertations Title Deaf people, modernity, and a contentious effort to unify Arab sign languages Permalink https://escholarship.org/uc/item/23n5f0h5 Author Al-Fityani, Kinda Publication Date 2010 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, SAN DIEGO Deaf People, Modernity, and a Contentious Effort to Unify Arab Sign Languages A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Communication by Kinda Al-Fityani Committee in charge: Professor Carol Padden, Chair Professor Gary Fields Professor Rachel Mayberry Professor Michael Provence Professor David Serlin 2010 Copyright Kinda Al-Fityani, 2010 All rights reserved. The Dissertation of Kinda Al-Fityani is approved, and it is acceptable in quality and form for publication on microfilm and electronically: _________________________________________________________ _________________________________________________________ _________________________________________________________ _________________________________________________________ _________________________________________________________ Chair University of California, San Diego 2010 iii DEDICATION To Mom and Bob, for believing in me. iv TABLE OF CONTENTS Signature Page ....................................................................................................................iii Dedication ...........................................................................................................................iv -
Deaf Communities and the Culture of Language
23 Aug 2002 13:1 AR AR169-AN31-04.tex AR169-AN31-04.sgm LaTeX2e(2002/01/18) P1: IBC 10.1146/annurev.anthro.31.020402.101302 Annu. Rev. Anthropol. 2002. 31:69–97 doi: 10.1146/annurev.anthro.31.020402.101302 Copyright c 2002 by Annual Reviews. All rights reserved First published online! as a Review in Advance on June 26, 2002 SIGNS OF THEIR TIMES: Deaf Communities and the Culture of Language Richard J. Senghas1 and Leila Monaghan2 1Sonoma State University, Department of Anthropology/Linguistics, 1801 East Cotati Avenue, Rohnert Park, California 94928-3609; email: [email protected] 2Temple University, Department of Anthropology, 1115 West Berks Street, Philadelphia, Pennsylvania 19122; email: [email protected] Key Words sign language, deafness, linguistic communities, Deaf culture ■ Abstract Because of their deafness, deaf people have been marked as different and treated problematically by their hearing societies. Until 25 years ago, academic literature addressing deafness typically described deafness as pathology, focusing on cures or mitigation of the perceived handicap. In ethnographic accounts, interactions involving deaf people are sometimes presented as examples of how communities treat atypical members. Recently, studies of deafness have adopted more complex sociocul- tural perspectives, raising issues of community identity, formation and maintenance, and language ideology. Anthropological researchers have approached the study of d/Deaf communities from at least three useful angles. The first, focusing on the history of these communities, demonstrates that the current issues have roots in the past, including the central role of education in the creation and maintenance of communities. A second approach cen- ters on emic perspectives, drawing on the voices of community members themselves and accounts of ethnographers.