The Signed Languages of Indonesia: an Enigma
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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 Deaf of Malaysia the Malaysian Sign Language Community the Deaf Are Found Throughout the Country of Malaysia
Profile Year: 2012 People and Language Detail Profile Language Name: Malaysian Sign Language ISO Language Code: xml The Deaf of Malaysia The Malaysian Sign Language Community The Deaf are found throughout the country of Malaysia. Most are legally “unreachable” since it is against the Malaysian constitution for the Muslims to be evangelized. There are a handful of churches with a ministry to the non-Muslim Deaf, at least one of which has a semi-independent Deaf church within the premises of the church. The adult Deaf tend to congregate in cities or towns where they can find jobs and socialize with other Deaf. In Malaysia each state has at least one school for Deaf children, with a total of 23 elementary schools, two vocational schools and one secondary school. Most are residential schools where local Deaf children live at home. There are also private deaf schools: two registered elementary schools and other non-registered private schools. Sometimes conditions are not good for the children in these schools while in other schools the children can live more “Amen” in Malaysian Sign Language comfortably. In the State of Sabah there are several private kindergartens for Deaf children. For primary one, the children go to the regular Deaf school. The language of the Deaf, Malaysian Primary Religion: Sign Language, is not taught in school and the teachers discourage Islam ____________________________________________________________ its use. The teachers (except for the Deaf teachers) only know and Disciples (Matt 28:19): use Signing Exact Malay, using the word order and other aspects of the grammar of the national language. -
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]. -
Prayer Cards | Joshua Project
Pray for the Nations Pray for the Nations Abkhaz in Ukraine Abor in India Population: 1,500 Population: 1,700 World Popl: 307,600 World Popl: 1,700 Total Countries: 6 Total Countries: 1 People Cluster: Caucasus People Cluster: South Asia Tribal - other Main Language: Abkhaz Main Language: Adi Main Religion: Non-Religious Main Religion: Unknown Status: Minimally Reached Status: Minimally Reached Evangelicals: 1.00% Evangelicals: Unknown % Chr Adherents: 20.00% Chr Adherents: 16.36% Scripture: New Testament Scripture: Complete Bible www.joshuaproject.net www.joshuaproject.net Source: Apsuwara - Wikimedia "Declare his glory among the nations." Psalm 96:3 "Declare his glory among the nations." Psalm 96:3 Pray for the Nations Pray for the Nations Achuar Jivaro in Ecuador Achuar Jivaro in Peru Population: 7,200 Population: 400 World Popl: 7,600 World Popl: 7,600 Total Countries: 2 Total Countries: 2 People Cluster: South American Indigenous People Cluster: South American Indigenous Main Language: Achuar-Shiwiar Main Language: Achuar-Shiwiar Main Religion: Ethnic Religions Main Religion: Ethnic Religions Status: Minimally Reached Status: Minimally Reached Evangelicals: 1.00% Evangelicals: 2.00% Chr Adherents: 14.00% Chr Adherents: 15.00% Scripture: New Testament Scripture: New Testament www.joshuaproject.net www.joshuaproject.net Source: Gina De Leon Source: Gina De Leon "Declare his glory among the nations." Psalm 96:3 "Declare his glory among the nations." Psalm 96:3 Pray for the Nations Pray for the Nations Adi in India Adi Gallong in India -
Invisible People Poverty and Empowerment in Indonesia
POVERTY AND EMPOWERMENT IN INDONESIA presented by PNPM Mandiri — Indonesia’s National Program for Community Empowerment INVISIBLE PEOPLE POVERTY AND EMPOWERMENT IN INDONESIA Text by Irfan Kortschak photographs by Poriaman Sitanggang with an introduction by Scott Guggenheim presented by PNPM Mandiri — Indonesia’s National Program for Community Empowerment 06 Bengkala, North Bali WHERE EVERYONE SPEAKS DEAF TALK Bengkala is a small village in North Bali. For more than a century, around 2% of “In a village with a large number of deaf the babies here have been born profoundly deaf. In 2008, out of a total population people, the schoolteacher says: ‘Kata of 2450, there were 46 profoundly deaf people, known in the village as kolok. Kolok is what keeps us together as a People who can hear are known as inget. Almost everyone here, both kolok and single community. In Bengkala, being inget, can speak a sign language known as Kata Kolok, or Deaf Talk. deaf is not something carried by the Kata Kolok is a rich and developed language. Like all developed sign languages, kolok alone. It’s something that belongs it uses visually transmitted sign patterns to convey meaning. These sign patterns to the entire community.” usually involve a combination of hand signals; movements of the hands, arms, or body; and facial expressions. Kata Kolok is not dependent on or derived from Balinese, the spoken language of the village, or any other spoken language. It is only slightly influenced by Indonesian Sign Language. It is a distinct, unique language that has a complex grammar of its own. -
Global Journal of Computer Science and Technology Vol
Global Journal of Computer Science and Technology Vol. 10 Issue 6 Ver.1.0 July 2010 P a g e | 23 Identification of Most Desirable Parameters in SIGN Language Tools: A Comparative Study Yousef Al-Ohali GJCST Computing Classification H.5.2, H.5.1, I.6.5 Abstract-Symbolic languages have gained popularity to Provided to summarize and facilitate the easy choice of tool undertake communication within community of people with for translating the words and punctuations into their special needs. The languages are used to help the individuals symbolic equality. with special needs. Research exporting the possibilities for suggesting better communication symbols can not only be II. SIGN LANGUAGE TOOLS taken as a scientific achievement but also as great services to humanity. This paper focuses on the identification and In this section, we survey available tools that help designers comparison of tools that have been developed to present the and developers to develop new systems for sign language words in symbols. The careful selection of tool has been made translation. so that the competitors are of adequate standard to generate A. Vsign the valuable results. The comparative study has focused on most desirable parameters, e.g. 3D animation, video based Vsign [1] is a 3-D animation tool implemented in representation, sign Editor, Education tool, dictionary, text Macromedia ShockWave. It is sponsored by EMMA analysis and speech recognition. An ample amount of tools (European Media Masters of Art) 2001/2002. It models the have been discussed and their merits and de-merits have been sign animations by means of an editor. -
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 Social Significance of Javanese Mouthings in Indonesian Sign Language
The social significance of Javanese mouthings in Indonesian Sign Language Nick Palfreyman ([email protected]) International Institute for Sign Languages and Deaf Studies (iSLanDS), UCLan, UK Mouthings in sign languages are mouth patterns deriving from contact with spoken languages (Boyes Braem & Sutton-Spence 2001). Not all signs have mouthings, and some sign languages seem to use mouthings more than others. Mouthings appear to occur more frequently in Indonesian Sign Language (Bahasa Isyarat Indonesia, or Bisindo) compared to some other sign languages such as Indo-Pakistani Sign Language and American Sign Language (Palfreyman 2014). Interestingly, some sign language users employ mouthings that derive from more than one spoken language (Zeshan 2001), and Bisindo is a case in point. For speakers, code-switching between Indonesian and Javanese has been well-documented (Errington 1998), and given the use of Javanese in the home, it is perhaps unsurprising to see that some signers incorporate Javanese mouthings as well as Indonesian ones. (Javanese mouthings are shown in (1) and (2) using italic type.) (1) mouthings: empat wolu rolas manual signs: FOUR HERE EIGHT TOTAL TWELVE meaning: ‘He had four [children with that woman], and eight here, 12 in total’. gelap lampu ada asu lihat goblok (2) DARK LIGHTS NEG-EXIST WE-CRASHED I-WOBBLED LOOK ‘It was dark, no lights were visible. I was hit by a motorbike. I shouted at him “You dog! Look what you’ve done! Stupid!” ’ In this paper, I examine the social significance of code-switching in the mouthings of Bisindo users in the Javanese city of Solo. My analysis draws upon an annotated corpus of spontaneous, conversational data from 17 Solonese signers, broadly balanced for age and gender, containing 90 minutes of data in total. -
A Sketch of the Linguistic Geography of Signed Languages in the Caribbean1,2
OCCASIONAL PAPER No. 38 A SKETCH OF THE LINGUISTIC GEOGRAPHY OF SIGNED LANGUAGES IN THE CARIBBEAN Ben Braithwaite The University of the West Indies, St. Augustine June 2017 SCL OCCASIONAL PAPERS PAPER NUMBER 38—JUNE 2017 Edited by Ronald Kephart (2014–2016) and Joseph T. Farquharson (2016–2018), SCL Publications Officers Copy editing by Sally J. Delgado and Ronald Kephart Proofreading by Paulson Skerritt and Sulare Telford EDITORIAL BOARD Joseph T. Farquharson The University of the West Indies, Mona (Chair) Janet L. Donnelly College of the Bahamas David Frank SIL International Ronald Kephart University of North Florida Salikoko S. Mufwene University of Chicago Ian E. Robertson The University of the West Indies, St. Augustine Geraldine Skeete The University of the West Indies, St. Augustine Donald C. Winford Ohio State University PUBLISHED BY THE SOCIETY FOR CARIBBEAN LINGUISTICS (SCL) c/o Department of Language, Linguistics and Philosophy, The University of the West Indies, Mona campus, Kingston 7, Jamaica. <www.scl-online.net> © 2017 Ben Braithwaite. All rights reserved. Not to be reproduced in any form without the written permission of the author. ISSN 1726–2496 THE LINGUISTIC GEOGRAPHY OF SIGNED LANGUAGES 3 A Sketch of the Linguistic Geography of Signed Languages in the Caribbean1,2 Ben Braithwaite The University of the West Indies, St. Augustine 1. Introduction HE Caribbean… is the location of almost every type of linguistic “Tphenomenon, and of every type of language situation. For example, trade and contact jargons, creole languages and dialects, ethnic vernaculars, and regional and nonstandard dialects are all spoken. There are also ancestral languages used for religious purposes…, regional standards, and international standards.