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Sign Language Typology Series
SIGN LANGUAGE TYPOLOGY SERIES The Sign Language Typology Series is dedicated to the comparative study of sign languages around the world. Individual or collective works that systematically explore typological variation across sign languages are the focus of this series, with particular emphasis on undocumented, underdescribed and endangered sign languages. The scope of the series primarily includes cross-linguistic studies of grammatical domains across a larger or smaller sample of sign languages, but also encompasses the study of individual sign languages from a typological perspective and comparison between signed and spoken languages in terms of language modality, as well as theoretical and methodological contributions to sign language typology. Interrogative and Negative Constructions in Sign Languages Edited by Ulrike Zeshan Sign Language Typology Series No. 1 / Interrogative and negative constructions in sign languages / Ulrike Zeshan (ed.) / Nijmegen: Ishara Press 2006. ISBN-10: 90-8656-001-6 ISBN-13: 978-90-8656-001-1 © Ishara Press Stichting DEF Wundtlaan 1 6525XD Nijmegen The Netherlands Fax: +31-24-3521213 email: [email protected] http://ishara.def-intl.org Cover design: Sibaji Panda Printed in the Netherlands First published 2006 Catalogue copy of this book available at Depot van Nederlandse Publicaties, Koninklijke Bibliotheek, Den Haag (www.kb.nl/depot) To the deaf pioneers in developing countries who have inspired all my work Contents Preface........................................................................................................10 -
Sign Language Endangerment and Linguistic Diversity Ben Braithwaite
RESEARCH REPORT Sign language endangerment and linguistic diversity Ben Braithwaite University of the West Indies at St. Augustine It has become increasingly clear that current threats to global linguistic diversity are not re - stricted to the loss of spoken languages. Signed languages are vulnerable to familiar patterns of language shift and the global spread of a few influential languages. But the ecologies of signed languages are also affected by genetics, social attitudes toward deafness, educational and public health policies, and a widespread modality chauvinism that views spoken languages as inherently superior or more desirable. This research report reviews what is known about sign language vi - tality and endangerment globally, and considers the responses from communities, governments, and linguists. It is striking how little attention has been paid to sign language vitality, endangerment, and re - vitalization, even as research on signed languages has occupied an increasingly prominent posi - tion in linguistic theory. It is time for linguists from a broader range of backgrounds to consider the causes, consequences, and appropriate responses to current threats to sign language diversity. In doing so, we must articulate more clearly the value of this diversity to the field of linguistics and the responsibilities the field has toward preserving it.* Keywords : language endangerment, language vitality, language documentation, signed languages 1. Introduction. Concerns about sign language endangerment are not new. Almost immediately after the invention of film, the US National Association of the Deaf began producing films to capture American Sign Language (ASL), motivated by a fear within the deaf community that their language was endangered (Schuchman 2004). -
The Signing Space for the Synthesis of Directional Verbs in NGT
The signing space for the synthesis of directional verbs in NGT Shani E. Mende-Gillings Layout: typeset by the author using LATEX. Cover illustration: Unknown artist The signing space for the synthesis of directional verbs in NGT Shani E. Mende-Gillings 11319836 Bachelor thesis Credits: 18 EC Bachelor Kunstmatige Intelligentie University of Amsterdam Faculty of Science Science Park 904 1098 XH Amsterdam Supervisor dr. F. Roelofsen Institute for Logic, Language and Computation Faculty of Science University of Amsterdam Science Park 107 1098 XG Amsterdam 26 June 2020 Acknowledgements I would like to thank my supervisor Floris Roelofsen for his guidance during this project. I am also very grateful to John Glauert and Richard Kennaway for proving valuable insight into SiGML and the JASigning software. Special thanks go to Inge Zwitserlood, Onno Crasborn and Johan Ros for providing the database of encoded NGT signs, without which this project would not have been possible. Last, but not least, I would also like to thank Marijke Scheffener for providing evaluation material and valuable feedback on the program. Preface This paper describes an individual contribution to a larger project executed in close collaboration with [1] and [2]. The first parts of these three papers describe the overall project and were jointly written, making them largely identical. Section 1.2 describes the global research question, and sections 2 and 3 provide the- oretical context and set up a hypothesis. Section 5.1.1 shows the overall program created, including the components of the other projects, and section 5.2.1 evaluates the result. These previously mentioned chap- ters and sections have been written in joint collaboration with [1] and [2] An introduction to and motivation for the overall project are provided in section 1. -
Sign Classification in Sign Language Corpora with Deep Neural Networks
Sign Classification in Sign Language Corpora with Deep Neural Networks Lionel Pigou, Mieke Van Herreweghe, Joni Dambre Ghent University flionel.pigou, mieke.vanherreweghe, [email protected] Abstract Automatic and unconstrained sign language recognition (SLR) in image sequences remains a challenging problem. The variety of signers, backgrounds, sign executions and signer positions makes the development of SLR systems very challenging. Current methods try to alleviate this complexity by extracting engineered features to detect hand shapes, hand trajectories and facial expressions as an intermediate step for SLR. Our goal is to approach SLR based on feature learning rather than feature engineering. We tackle SLR using the recent advances in the domain of deep learning with deep neural networks. The problem is approached by classifying isolated signs from the Corpus VGT (Flemish Sign Language Corpus) and the Corpus NGT (Dutch Sign Language Corpus). Furthermore, we investigate cross-domain feature learning to boost the performance to cope with the fewer Corpus VGT annotations. Keywords: sign language recognition, deep learning, neural networks 1. Introduction In previous work (Pigou et al., 2015), we showed that deep neural networks are very successful for gesture recognition SLR systems have many different use cases: corpus anno- and gesture spotting in spatiotemporal data. Our developed tation, in hospitals, as a personal sign language learning system is able to recognize 20 different Italian gestures (i.e., assistant or translating daily conversations between signers emblems). We achieved a classification accuracy of 97.23% and non-signers to name a few. Unfortunately, unconstrained in the Chalearn 2014 Looking At People gesture spotting SLR remains a big challenge. -
Gesture and Sign Language Recognition with Temporal Residual Networks
Gesture and Sign Language Recognition with Temporal Residual Networks Lionel Pigou, Mieke Van Herreweghe and Joni Dambre Ghent University {lionel.pigou, mieke.vanherreweghe, joni.dambre}@ugent.be Abstract SLR using recurrent CNNs [6]. A task that is closely related to SLR is gesture recog- Gesture and sign language recognition in a continuous nition. Deep neural networks have proven to be success- video stream is a challenging task, especially with a large ful for this problem, given a small vocabulary (20 gestures) vocabulary. In this work, we approach this as a framewise [22, 30] and/or with a multi-modal approach [24, 18]. classification problem. We tackle it using temporal con- In this work, we investigate large vocabulary gesture volutions and recent advances in the deep learning field recognition and SLR using deep neural networks with up- like residual networks, batch normalization and exponen- to-date architectures, regularization techniques and training tial linear units (ELUs). The models are evaluated on methods. To achieve this, we approach the problem as a three different datasets: the Dutch Sign Language Corpus continuous framewise classification task, where the tempo- (Corpus NGT), the Flemish Sign Language Corpus (Cor- ral locations of gestures and signs are not given during eval- pus VGT) and the ChaLearn LAP RGB-D Continuous Ges- uation. The models are tested on the Dutch Sign Language ture Dataset (ConGD). We achieve a 73.5% top-10 accu- Corpus (Corpus NGT) [4, 5], the Flemish Sign Language racy for 100 signs with the Corpus NGT, 56.4% with the Corpus (Corpus VGT) [27] and the ChaLearn LAP RGB-D Corpus VGT and a mean Jaccard index of 0.316 with the Continuous Gesture Dataset (ConGD) [28]. -
A Lexical Comparison of South African Sign Language and Potential Lexifier Languages
A lexical comparison of South African Sign Language and potential lexifier languages by Andries van Niekerk Thesis presented in partial fulfilment of the requirements for the degree Masters in General Linguistics at the University of Stellenbosch Supervisors: Dr Kate Huddlestone & Prof Anne Baker Faculty of Arts and Social Sciences Department of General Linguistics March, 2020 Stellenbosch University https://scholar.sun.ac.za DECLARATION By submitting this thesis electronically, I declare that the entirety of the work contained therein is my own, original work, that I am the sole author thereof (save to the extent explicitly otherwise stated), that reproduction and publication thereof by Stellenbosch University will not infringe any third party rights and that I have not previously in its entirety or in part submitted it for obtaining any qualification. Andries van Niekerk March 2020 Copyright © 2020 University of Stellenbosch All rights reserved 1 Stellenbosch University https://scholar.sun.ac.za ABSTRACT South Africa’s history of segregation was a large contributing factor for lexical variation in South African Sign Language (SASL) to come about. Foreign sign languages certainly had a presence in the history of deaf education; however, the degree of influence foreign sign languages has on SASL today is what this study has aimed to determine. There have been very limited studies on the presence of loan signs in SASL and none have included extensive variation. This study investigates signs from 20 different schools for the deaf and compares them with signs from six other sign languages and the Paget Gorman Sign System (PGSS). A list of lemmas was created that included the commonly used list of lemmas from Woodward (2003). -
The Signed Languages of Indonesia: an Enigma
DigitalResources Electronic Survey Report 2014-005 ® The Signed Languages of Indonesia: An Enigma Hope M. Hurlbut The Signed Languages of Indonesia: An Enigma Hope M. Hurlbut SIL International® 2014 SIL Electronic Survey Report 2014-005, April 2014 © 2014 SIL International® All rights reserved 1 2 Abstract In 2003–2005, SIL International undertook a lexicostatistical survey of the signed languages of Indonesia. Wordlists and stories were collected from each of the nineteen states where one or more schools for the Deaf were run privately or by the government. The wordlists were video recorded and transcribed by hand using the SignWriting orthography. The results of the wordlist comparisons point out the need for intelligibility testing between users of the various varieties of Indonesian Sign Language. Intelligibility testing should be carried out sometime in at least eleven of the nineteen states where the similarity between the signs in the list is low. This paper focuses on the results of the lexicostatistical survey. There are at least two signed languages in use in Indonesia, Indonesian Sign Language and Bengkala Sign Language. Bengkala Sign Language is an isolect found in northern Bali in the village of Bengkala where there is a high proportion of Deaf among the inhabitants. It has been called Bali Sign Language in the past, but since it seems to be more or less confined to the village of Bengkala, it seems better to call it Bengkala Sign Language. The rest of the Deaf on the island use a form of Indonesian Sign Language. At the time of the survey there were two Deaf youth from Bengkala going to school in the Deaf school (or a Deaf class) in Singaraja which is about 17 kilometers from Bengkala Village. -
Typology of Signed Languages: Differentiation Through Kinship Terminology Erin Wilkinson
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by University of New Mexico University of New Mexico UNM Digital Repository Linguistics ETDs Electronic Theses and Dissertations 7-1-2009 Typology of Signed Languages: Differentiation through Kinship Terminology Erin Wilkinson Follow this and additional works at: https://digitalrepository.unm.edu/ling_etds Recommended Citation Wilkinson, Erin. "Typology of Signed Languages: Differentiation through Kinship Terminology." (2009). https://digitalrepository.unm.edu/ling_etds/40 This Dissertation is brought to you for free and open access by the Electronic Theses and Dissertations at UNM Digital Repository. It has been accepted for inclusion in Linguistics ETDs by an authorized administrator of UNM Digital Repository. For more information, please contact [email protected]. TYPOLOGY OF SIGNED LANGUAGES: DIFFERENTIATION THROUGH KINSHIP TERMINOLOGY BY ERIN LAINE WILKINSON B.A., Language Studies, Wellesley College, 1999 M.A., Linguistics, Gallaudet University, 2001 DISSERTATION Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Linguistics The University of New Mexico Albuquerque, New Mexico August, 2009 ©2009, Erin Laine Wilkinson ALL RIGHTS RESERVED iii DEDICATION To my mother iv ACKNOWLEDGMENTS Many thanks to Barbara Pennacchi for kick starting me on my dissertation by giving me a room at her house, cooking me dinner, and making Italian coffee in Rome during November 2007. Your endless support, patience, and thoughtful discussions are gratefully taken into my heart, and I truly appreciate what you have done for me. I heartily acknowledge Dr. William Croft, my advisor, for continuing to encourage me through the long number of months writing and rewriting these chapters. -
What Corpus-Based Research on Negation in Auslan and PJM Tells Us About Building and Using Sign Language Corpora
What Corpus-Based Research on Negation in Auslan and PJM Tells Us About Building and Using Sign Language Corpora Anna Kuder1, Joanna Filipczak1, Piotr Mostowski1, Paweł Rutkowski1, Trevor Johnston2 1Section for Sign Linguistics, Faculty of the Polish Studies, University of Warsaw, Krakowskie Przedmieście 26/28, 00-927 Warsaw, Poland 2Department of Linguistics, Faculty of Human Sciences, Macquarie University, Sydney, NSW, Australia, 2109 {anna.kuder, j.filipczak, piotr.mostowski, p.rutkowski}@uw.edu.pl, [email protected] Abstract In this paper, we would like to discuss our current work on negation in Auslan (Australian Sign Language) and PJM (Polish Sign Language, polski język migowy) as an example of experience in using sign language corpus data for research purposes. We describe how we prepared the data for two detailed empirical studies, given similarities and differences between the Australian and Polish corpus projects. We present our findings on negation in both languages, which turn out to be surprisingly similar. At the same time, what the two corpus studies show seems to be quite different from many previous descriptions of sign language negation found in the literature. Some remarks on how to effectively plan and carry out the annotation process of sign language texts are outlined at the end of the present paper, as they might be helpful to other researchers working on designing a corpus. Our work leads to two main conclusions: (1) in many cases, usage data may not be easily reconciled with intuitions and assumptions about how sign languages function and what their grammatical characteristics are like, (2) in order to obtain representative and reliable data from large-scale corpora one needs to plan and carry out the annotation process very thoroughly. -
Toponyms in Ban Khor Sign Language | Angela M
Toponyms in Ban Khor Sign Language | Angela M. Nonaka 66 Toponyms in Ban Khor Sign Language Angela M. Nonaka The University of Texas at Austin (USA) [email protected] Introduction Ban Khor Sign Language (BKSL) is a rare language variety known as a ‘village’ (Zeshan 2004) or ‘indigenous’ (Woodward 2000) sign language. This type of sign language develops in small face-to-face communities where historically there are/were: 1) demographically `1#$%%%%}`` #####$}`T$ } ~` $ #} ` %T$!;# characteristics of the language ecologies of signing village communities, however, involve their local language ideologies and practices. In such communities, there are no sign language interpreters. Instead, it is common not only for deaf people but also for hearing residents to acquire and use the village sign language. Because it is widely used by both deaf and hearing people in the course of everyday life, the village sign language facilitates the inclusion (vs. exclusion) of deaf members of the community. Villages with indigenous sign languages are unusual but have been found elsewhere: in Africa, the Americas, Asia, Australia and Oceania, the Caribbean, and the Middle East (Branson & ^}@!}#$$}}} }@}X;}$¥}}¨}¨ }~}=#}=$}=~¥ $}=¥}=}+#¢^$}+ }^+¥}^}^%#¢<}^!} ~$}¥}!}\ !}}*!}*$}*#};! }@}$¥}`!* communities’ alternative social constructions of and communicative responses to deafness is enriching anthropological understanding of cultural variation, and research on the local sign languages is expanding knowledge of linguistics in areas such as: documentary linguistics, typological linguistics, historical linguistics, language universals, and so on. In anthropological linguistics, there is a robust literature on onomastics—the study of the origin and forms of proper names (personal, place, brand, etc.). Names are interesting and useful phenomena for linguistic and cultural analysis because naming systems and practices mirror and order the social world. -
Variation in Mouth Actions with Manual Signs (Chapter 2)
PDF hosted at the Radboud Repository of the Radboud University Nijmegen The following full text is a publisher's version. For additional information about this publication click this link. http://hdl.handle.net/2066/133714 Please be advised that this information was generated on 2021-10-01 and may be subject to change. The ubiquity of mouthings in NGT A corpus study Published by LOT phone: +31 30 253 6111 Trans 10 3512 JK Utrecht e-mail: [email protected] The Netherlands http://www.lotschool.nl Cover illustration: (stemmed) word cloud of this dissertation, from tagul.com. ISBN: 978-94-6093-158-1 NUR 616 Copyright © 2014: Richard Bank. All rights reserved. The ubiquity of mouthings in NGT A corpus study Proefschrift ter verkrijging van de graad van doctor aan de Radboud Universiteit Nijmegen op gezag van de rector magnificus prof. dr. Th. L. M. Engelen volgens besluit van het college van decanen in het openbaar te verdedigen op vrijdag 30 januari 2015 om 12.30 uur precies door Richard Bank Geboren op 1 augustus 1969 te Amsterdam Promotor: Prof. dr. Roeland van Hout Copromotor: Dr. Onno Crasborn Manuscriptcommissie: Prof. dr. Pieter Muysken Prof. dr. Jens Heßmann (Hochschule Magdeburg-Stendal, Duitsland) Prof. dr. Bencie Woll (DCAL, University College London, Groot-Brittannië) Table of contents Dankwoord ..................................................................................................................... ix Chapter 1: Introduction ........................................................................................ 1 1.1 Sign languages: a general introduction ..................................................................... 2 1.1.1 A short history of sign languages...................................................................... 3 1.1.2 Research and recognition .................................................................................. 4 1.1.3 The recent history of NGT ................................................................................ 5 1.1.4 Deaf education in the Netherlands and influence of spoken language ......... -
Goat-Sheep-Mixed-Sign” in Lhasa - Deaf Tibetans’ Language Ideologies and Unimodal Codeswitching in Tibetan and Chinese Sign Languages, Tibet Autonomous Region, China’
Hofer, T. (2020). "Goat-Sheep-Mixed-Sign” in Lhasa - Deaf Tibetans’ Language Ideologies and Unimodal Codeswitching in Tibetan and Chinese Sign Languages, Tibet Autonomous Region, China’. In A. Kusters, M. E. Green, E. Moriarty Harrelson, & K. Snoddon (Eds.), Sign Language Ideologies in Practice (pp. 81-105). DeGruyter. https://doi.org/10.1515/9781501510090-005 Publisher's PDF, also known as Version of record License (if available): CC BY-NC-ND Link to published version (if available): 10.1515/9781501510090-005 Link to publication record in Explore Bristol Research PDF-document This is the final published version of the article (version of record). It first appeared online via DeGruyter at https://doi.org/10.1515/9781501510090-005 . Please refer to any applicable terms of use of the publisher. University of Bristol - Explore Bristol Research General rights This document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/red/research-policy/pure/user-guides/ebr-terms/ Theresia Hofer “Goat-Sheep-Mixed-Sign” in Lhasa – Deaf Tibetans’ language ideologies and unimodal codeswitching in Tibetan and Chinese sign languages, Tibet Autonomous Region, China 1 Introduction Among Tibetan signers in Lhasa, there is a growing tendency to mix Tibetan Sign Language (TSL) and Chinese Sign Language (CSL). I have been learning TSL from deaf TSL teachers and other deaf, signing Tibetan friends since 2007, but in more recent conversations with them I have been more and more exposed to CSL. In such contexts, signing includes not only loan signs, loan blends or loan trans- lations from CSL that have been used in TSL since its emergence, such as signs for new technical inventions or scientific terms.