Sociolinguistic Profiles of Twenty-Four Deaf Communities in the Americas
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Deaf Culture, History and Sign Language in France May-June, 2021 (Specific Dates TBA)
Deaf Culture, History and Sign Language in France May-June, 2021 (specific dates TBA) ASL 113 - French Sign Language and Deaf Culture in France (4 Cr.) The ASL program at the University of Rochester, located in Rochester New York, is offering a unique study abroad experience in France in Summer 2021. It is open to Deaf and hearing college-level ASL students and professionals. This three-week program gives ASL users an opportunity to learn French Sign Language and French Deaf Culture in both formal and informal settings to further their understanding of the international Deaf World. It is available to anyone who meets the prerequisites (see below); it is not limited to University of Rochester students. A native Deaf French faculty member from UR is affiliated with several faculty members in the Deaf community and they jointly plan the program, schedule, and curriculum offered to ASL students and professionals. This 4-credit program will focus on basic and advanced learning of conversational LSF (French Sign Language) and on field trips fostering a broad understanding of French Deaf Culture and general French Culture in Paris (weeks 1 & 2) and in regions beyond the capital (week 3). Students will attend classes on LSF and French Deaf History and Culture in the first week. They will also attend guided tours of culturally significant sights such as renowned museums, Deaf theater, Lyon and other villages and Deaf schools. All classes and tours will be conducted in LSF and International Sign. Study will begin before going to France, as students will receive the course syllabus and materials for review and familiarization. -
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). -
How Does Social Structure Shape Language Variation? a Case Study of the Kata Kolok Lexicon
HOW DOES SOCIAL STRUCTURE SHAPE LANGUAGE VARIATION? A CASE STUDY OF THE KATA KOLOK LEXICON KATIE MUDD*1, HANNAH LUTZENBERGER2,3, CONNIE DE VOS2, PAULA FIKKERT2, ONNO CRASBORN2, BART DE BOER1 *Corresponding Author: [email protected] 1Vrije Universiteit Brussel, Brussels, Belgium 2Center of Language Studies, Nijmegen, Netherlands 3International Max Planck Research School, Nijmegen, Netherlands Sign language emergence is an excellent source of data on how language varia- tion is conditioned. Based on the context of sign language emergence, sign lan- guages can be classified as Deaf community sign languages (DCSL), used by a large and dispersed group of mainly deaf individuals (Mitchell & Karchmer, 2004) or as shared sign languages (SSL), which typically emerge in tight-knit communities and are shared by deaf and hearing community members (Kisch, 2008)1. It has been suggested that, in small, tight-knit populations, a higher degree of variation is tolerated than in large, dispersed communities because individuals can remember others’ idiolects (de Vos, 2011; Thompson et al., 2019). Confirm- ing this, Washabaugh (1986) found more lexical variation in Providence Island Sign Language, a SSL, than in American Sign Language (ASL), a DCSL. DC- SLs frequently exhibit variation influenced by schooling patterns, for instance seen in the differences between ages in British Sign Language (Stamp et al., 2014), gender in Irish Sign Language (LeMaster, 2006) and race in ASL (Mc- Caskill et al., 2011). It remains unknown how variation is conditioned in SSLs. The present study of Kata Kolok (KK) is one of the first in-depth studies of how sociolinguistic factors shape lexical variation in a SSL. -
Downloaded from Brill.Com09/24/2021 04:10:37AM Via Free Access 2 Pires, Strange and Mello Several Afro- and Indo-Guianese Populations
New West Indian Guide 92 (2018) 1–34 nwig brill.com/nwig The Bakru Speaks Money-Making Demons and Racial Stereotypes in Guyana and Suriname* Rogério Brittes W. Pires Universidade Federal de Minas Gerais, Belo Horizonte, Brazil [email protected] Stuart Earle Strange Yale-NUS College, Singapore [email protected] Marcelo Moura Mello Universidade Federal da Bahia, Salvador, Brazil [email protected] Abstract Throughout the Guianas, people of all ethnicities fear one particular kind of demonic spirit. Called baccoo in Guyana, bakru in coastal Suriname, and bakulu or bakuu among Saamaka and Ndyuka Maroons in the interior, these demons offer personal wealth in exchange for human life. Based on multisited ethnography in Guyana and Suriname, this paper analyzes converging and diverging conceptions of the “same” spirit among * Most of the research for this article was carried out by the authors during fieldwork for their Ph.D. dissertation.The research was financed byThe National Science Foundation,The Social Science Research Council, The Wenner Gren Foundation, and the University of Michigan’s Department of Anthropology (Stuart Strange); by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Museu Nacional’s Graduate Program in Social Anthro- pology, Universidade Federal do Rio de Janeiro (ufrj) (Marcelo Mello and Rogério Pires); and by a CNPq postdoctoral scholarship in the Universidade Federal de Minas Gerais (Rogério Pires). Previous versions of this article were presented twice in 2015 and once in 2017: in a seminar at Museu Nacional/ufrj, in a panel session at the American Anthropological Asso- ciation (aaa) meeting, and in a lecture at Universidade Federal de Juiz de Fora (ufjf). -
The Guardian (UK)
9/16/2016 The race to save a dying language | Ross Perlin | News | The Guardian T he race to save a dying language The discovery of Hawaii Sign Language in 2013 amazed linguists. But as the number of users dwindles, can it survive the twin threats of globalisation and a rift in the community? by Wednesday 10 August 2016 01.00 EDT 4726 Shares 52 Comments n 2013, at a conference on endangered languages, a retired teacher named Linda Lambrecht announced the extraordinary discovery of a previously unknown language. Lambrecht – who is Chinese-Hawaiian, 71 years old, warm but no- nonsense – called it Hawaii Sign Language, or HSL. In front of a room full of linguists, she demonstrated that its core vocabulary – words such as “mother”, “pig” and I “small” – was distinct from that of other sign languages. The linguists were immediately convinced. William O’Grady, the chair of the linguistics department at the University of Hawaii, called it “the first time in 80 years that a new language has been discovered in the United States — and maybe the last time.” But the new language found 80 years ago was in remote Alaska, whereas HSL was hiding in plain sight in Honolulu, a metropolitan area of nearly a million people. It was the kind of discovery that made the world seem larger. The last-minute arrival of recognition and support for HSL was a powerful, almost surreal vindication for Lambrecht, whose first language is HSL. For decades, it was stigmatised or ignored; now the language has acquired an agreed-upon name, an official “language code” from the International Organization for Standardization, the attention of linguists around the world, and a three-year grant from the Endangered Languages Documentation Programme at the School of Oriental and African Studies in London. -
Memorandum of the Bolivarian Republic of Venezuela on The
Memorandum of the Bolivarian Republic of Venezuela on the Application filed before the International Court of Justice by the Cooperative of Guyana on March 29th, 2018 ANNEX Table of Contents I. Venezuela’s territorial claim and process of decolonization of the British Guyana, 1961-1965 ................................................................... 3 II. London Conference, December 9th-10th, 1965………………………15 III. Geneva Conference, February 16th-17th, 1966………………………20 IV. Intervention of Minister Iribarren Borges on the Geneva Agreement at the National Congress, March 17th, 1966……………………………25 V. The recognition of Guyana by Venezuela, May 1966 ........................ 37 VI. Mixed Commission, 1966-1970 .......................................................... 41 VII. The Protocol of Port of Spain, 1970-1982 .......................................... 49 VIII. Reactivation of the Geneva Agreement: election of means of settlement by the Secretary-General of the United Nations, 1982-198371 IX. The choice of Good Offices, 1983-1989 ............................................. 83 X. The process of Good Offices, 1989-2014 ........................................... 87 XI. Work Plan Proposal: Process of good offices in the border dispute between Guyana and Venezuela, 2013 ............................................. 116 XII. Events leading to the communiqué of the UN Secretary-General of January 30th, 2018 (2014-2018) ....................................................... 118 2 I. Venezuela’s territorial claim and Process of decolonization -
On the Status of the Icelandic Language and Icelandic Sign Language
No. 61/2011 7 June 2011 Act on the status of the Icelandic language and Icelandic sign language. THE EXECUTANTS OF THE POWERS OF THE PRESIDENT OF ICELAND under Article 8 of the Constitution, the Prime Minister, the Speaker of the Althingi and the President of the Supreme Court, make known: the Althingi has passed this Act, and we confirm it by our signatures: Article 1 National language – official language. Icelandic is the national language of the Icelandic people and the official language in Iceland. Article 2 The Icelandic language. The national language is the common language of the people of Iceland. The government authorities shall ensure that it is possible to use it in all areas of the life of the nation. Everyone who is resident in Iceland shall have the opportunity of using Icelandic for general participation in the life of the Icelandic nation as provided for in further detail in separate legislation. Article 3 Icelandic sign language. Icelandic sign language is the first language of those who have to rely on it for expression and communication, and of their children. The government authorities shall nurture and support it. All those who need to use sign language shall have the opportunity to learn and use Icelandic sign language as soon as their language acquisition process begins, or from the time when deafness, hearing impairment or deaf-blindness is diagnosed. Their immediate family members shall have the same right. Article 4 Icelandic Braille. Icelandic Braille is the first written language of those who have to rely on it for expression and communication. -
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]. -
Variation and Change in English Varieties of British Sign Languagei
Variation and change in English varieties of BSL 1 Variation and change in English varieties of British Sign Languagei Adam Schembri, Rose Stamp, Jordan Fenlon and Kearsy Cormier British Sign Language (BSL) is the language used by the deaf community in the United Kingdom. In this chapter, we describe sociolinguistic variation and change in BSL varieties in England. This will show how factors that drive sociolinguistic variation and change in both spoken and signed language communities are broadly similar. Social factors include, for example, a signer’s age group, region of origin, gender, ethnicity, and socio-economic status (e.g., Lucas, Valli & Bayley 2001). Linguistic factors include assimilation and co-articulation effects (e.g., Schembri et al. 2009; Fenlon et al. 2013). It should be noted, however, some factors involved in sociolinguistic variation in sign languages are distinctive. For example, phonological variation includes features, such as whether a sign is produced with one or two hands, which have no direct parallel in spoken language phonology. In addition, deaf signing communities are invariably minority communities embedded within larger majority communities whose languages are in another entirely different modality and which may have written systems, unlike sign languages. Some of the linguistic outcomes of this contact situation (such as the use of individual signs for letters to spell out written words on the hands, known as fingerspelling) are unique to such communities (Lucas & Valli 1992). This picture is further complicated by patterns of language transmission which see many deaf individuals acquiring sign languages as first languages at a much later age than hearing individuals (e.g., Cormier et al.