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Technical Report, Vol
CRL Technical Report, Vol. 19 No. 1, March 2007 CENTER FOR RESEARCH IN LANGUAGE March 2007 Vol. 19, No. 1 CRL Technical Reports, University of California, San Diego, La Jolla CA 92093-0526 Tel: (858) 534-2536 • E-mail: [email protected] • WWW: http://crl.ucsd.edu/newsletter/current/TechReports/articles.html TECHNICAL REPORT Arab Sign Languages: A Lexical Comparison Kinda Al-Fityani Department of Communication, University of California, San Diego EDITOR’S NOTE The CRL Technical Report replaces the feature article previously published with every issue of the CRL Newsletter. The Newsletter is now limited to announcements and news concerning the CENTER FOR RESEARCH IN LANGUAGE. CRL is a research center at the University of California, San Diego that unites the efforts of fields such as Cognitive Science, Linguistics, Psychology, Computer Science, Sociology, and Philosophy, all who share an interest in language. The Newsletter can be found at http://crl.ucsd.edu/newsletter/current/TechReports/articles.html. The Technical Reports are also produced and published by CRL and feature papers related to language and cognition (distributed via the World Wide Web). We welcome response from friends and colleagues at UCSD as well as other institutions. Please visit our web site at http://crl.ucsd.edu. SUBSCRIPTION INFORMATION If you know of others who would be interested in receiving the Newsletter and the Technical Reports, you may add them to our email subscription list by sending an email to [email protected] with the line "subscribe newsletter <email-address>" in the body of the message (e.g., subscribe newsletter [email protected]). -
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 -
Florida Department of Education Home Language Codes
Florida Department of Education Home Language Codes Code Home Language OM (Afan) Oromo AB Abkhazian AC Abnaki AD Achumawi AA Afar AK Afrikaans AE Ahtena EF Akan EK Akateko AF Alabama AL Albanian, Shqip AG Aleut AH Algonquian WJ American Sign Language AM Amharic AI Apache AR Arabic AJ Arapaho AO Araucanian AP Arikara AN Armenian, Hayeren AS Assamese AQ Athapascan AT Atsina AU Atsugewi AV Aucanian WK Awadhi AW Aymara AZ Azerbaijani AX Aztec BA Bantu BC Bashkir BQ Basque, Euskera BS Bassa BJ Belarusian Code Home Language BE Bengali, Bangla BR Berber BP Bhojpuri DZ Bhutani BH Bihari BI Bislama BG Blackfoot BF Breton BL Bulgarian BU Burmese, Myanmasa BD Byelorussian CB Caddo CC Cahuilla CD Cakchiquel CA Cambodian, Khmer CN Cantonese EC Carolinian CT Catalan CE Cayuga ZA Cebuano ED Chamorro CF Chasta Costa CG Chemeheuvi CI Cherokee CJ Chetemacha CK Cheyenne ZB Chhattisgarhi ZC Chinese, Hakka ZD Chinese, Min Nau (Fukienese or Fujianese) CH Chinese, Zhongwen CL Chinook Jargon CM Chiricahua ZE Chittagonian CP Chiwere CQ Choctaw CS Chumash EE Chuukese/Trukese Code Home Language CU Clallam CV Coast Miwok CW Cocomaricopa CX Coeur D’Alene CY Columbia DF Comanche CO Corsican DG Cowlitz DJ Cree ZF Creole HR Croatian, Hrvatski DK Crow DH Cuna DI Cupeno CZ Czech DB Dakota DA Danish DL Deccan DC Delaware DD Delta River Yuman DE Diegueno DU Dutch, Netherlands DO Dzongkha EN English EA Eskimo EO Esperanto ES Estonian EB Eyak FO Faroese FA Farsi, Persian FJ Fijian FL Filipino FI Finnish, Suomi FB Foothill North Yokuts FC Fox FR French FD French Cree Code Home -
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). -
University of California Santa Cruz Minimal Reduplication
UNIVERSITY OF CALIFORNIA SANTA CRUZ MINIMAL REDUPLICATION A dissertation submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in LINGUISTICS by Jesse Saba Kirchner June 2010 The Dissertation of Jesse Saba Kirchner is approved: Professor Armin Mester, Chair Professor Jaye Padgett Professor Junko Ito Tyrus Miller Vice Provost and Dean of Graduate Studies Copyright © by Jesse Saba Kirchner 2010 Some rights reserved: see Appendix E. Contents Abstract vi Dedication viii Acknowledgments ix 1 Introduction 1 1.1 Structureofthethesis ...... ....... ....... ....... ........ 2 1.2 Overviewofthetheory...... ....... ....... ....... .. ....... 2 1.2.1 GoalsofMR ..................................... 3 1.2.2 Assumptionsandpredictions. ....... 7 1.3 MorphologicalReduplication . .......... 10 1.3.1 Fixedsize..................................... ... 11 1.3.2 Phonologicalopacity. ...... 17 1.3.3 Prominentmaterialpreferentiallycopied . ............ 22 1.3.4 Localityofreduplication. ........ 24 1.3.5 Iconicity ..................................... ... 24 1.4 Syntacticreduplication. .......... 26 2 Morphological reduplication 30 2.1 Casestudy:Kwak’wala ...... ....... ....... ....... .. ....... 31 2.2 Data............................................ ... 33 2.2.1 Phonology ..................................... .. 33 2.2.2 Morphophonology ............................... ... 40 2.2.3 -mut’ .......................................... 40 2.3 Analysis........................................ ..... 48 2.3.1 Lengtheningandreduplication. -
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. -
Assessing the Bimodal Bilingual Language Skills of Young Deaf Children
ANZCED/APCD Conference CHRISTCHURCH, NZ 7-10 July 2016 Assessing the bimodal bilingual language skills of young deaf children Elizabeth Levesque PhD What we’ll talk about today Bilingual First Language Acquisition Bimodal bilingualism Bimodal bilingual assessment Measuring parental input Assessment tools Bilingual First Language Acquisition Bilingual literature generally refers to children’s acquisition of two languages as simultaneous or sequential bilingualism (McLaughlin, 1978) Simultaneous: occurring when a child is exposed to both languages within the first three years of life (not be confused with simultaneous communication: speaking and signing at the same time) Sequential: occurs when the second language is acquired after the child’s first three years of life Routes to bilingualism for young children One parent-one language Mixed language use by each person One language used at home, the other at school Designated times, e.g. signing at bath and bed time Language mixing, blending (Lanza, 1992; Vihman & McLaughlin, 1982) Bimodal bilingualism Refers to the use of two language modalities: Vocal: speech Visual-gestural: sign, gesture, non-manual features (Emmorey, Borinstein, & Thompson, 2005) Equal proficiency in both languages across a range of contexts is uncommon Balanced bilingualism: attainment of reasonable competence in both languages to support effective communication with a range of interlocutors (Genesee & Nicoladis, 2006; Grosjean, 2008; Hakuta, 1990) Dispelling the myths….. Infants’ first signs are acquired earlier than first words No significant difference in the emergence of first signs and words - developmental milestones are met within similar timeframes (Johnston & Schembri, 2007) Slight sign language advantage at the one-word stage, perhaps due to features being more visible and contrastive than speech (Meier & Newport,1990) Another myth…. -
Hawai'i Civil Rights Commission
,¢,..... € o F "‘‘“_ 1",,’ .. .4 Q,‘*- "0 /"I ,u' 4' ‘ .-‘$-@9359 \”,r 0 Q.-E - )‘\ ' 2‘_ ; . .J.(‘"1_.-' 1:" ._- '2-n44!‘ cull ? ‘ b mm.» HAWAI‘I CIVIL RIGHTS COMMISSION ,,.,,...,_ ‘ » $5‘. .._,,.. /\~ ,‘ ___\ ‘fife 830 PUNCHBOWL STREET, ROOM 411 HONOLULU, HI 96813 ·PHONE: 586-8636 FAX: 586-8655 TDD: 568-8692 $‘_,-"‘i£_'»*,, ,.‘-* A-_ ,a:¢j_‘f.§.......+9-.._ ~4~ -u--........~-‘Q; ,1'\n_.'9. February 24, 2021 Videoconference, 9:45 a.m. To: The Honorable Karl Rhoads, Chair The Honorable Jarrett Keohokalole, Vice Chair Members of the Senate Committee on Judiciary From: Liann Ebesugawa, Chair and Commissioners of the Hawai‘i Civil Rights Commission Re: S.B. No. 537 The Hawai‘i Civil Rights Commission (HCRC) has enforcement jurisdiction over Hawai‘i’s laws prohibiting discrimination in employment, housing, public accommodations, and access to state and state funded services. The HCRC carries out the Hawai‘i constitutional mandate that no person shall be discriminated against in the exercise of their civil rights. Art. I, Sec. 5. S.B. No. 537 would add a new section to Chapter 1 of the Hawai‘i Revised Statutes which would recognize American Sign Language (ASL) as a fully developed, autonomous, natural language with its own grammar, syntax, vocabulary and cultural heritage. Just as is the case with languages that are characteristic of ancestry or national origin, ASL is a language that is closely tied to culture and identity. Over 40 US states recognize ASL to varying degrees, from a foreign language for school credits to the official language of that state's deaf population, with several enacting legislation similar to S.B. -
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. -
Sign Language Ideologies: Practices and Politics
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Heriot Watt Pure Annelies Kusters, Mara Green, Erin Moriarty and Kristin Snoddon Sign language ideologies: Practices and politics While much research has taken place on language attitudes and ideologies regarding spoken languages, research that investigates sign language ideol- ogies and names them as such is only just emerging. Actually, earlier work in Deaf Studies and sign language research uncovered the existence and power of language ideologies without explicitly using this term. However, it is only quite recently that scholars have begun to explicitly focus on sign language ideologies, conceptualized as such, as a field of study. To the best of our knowledge, this is the first edited volume to do so. Influenced by our backgrounds in anthropology and applied linguistics, in this volume we bring together research that addresses sign language ideologies in practice. In other words, this book highlights the importance of examining language ideologies as they unfold on the ground, undergirded by the premise that what we think that language can do (ideology) is related to what we do with language (practice).¹ All the chapters address the tangled confluence of sign lan- guage ideologies as they influence, manifest in, and are challenged by commu- nicative practices. Contextual analysis shows that language ideologies are often situation-dependent and indeed often seemingly contradictory, varying across space and moments in time. Therefore, rather than only identifying language ideologies as they appear in metalinguistic discourses, the authors in this book analyse how everyday language practices implicitly or explicitly involve ideas about those practices and the other way around. -
Distance Education During COVID-19
Education in Emergencies The Effect of COVID-19 on the Educational Systems of South Africa, Cambodia, Turkey, Albania, India, Pakistan, Nigeria, Brazil, Indonesia, China, and Egypt Abigail Bautista, Anwesha Sarma, Naomi Bonilla, Jennifer Tao, Seek Ling Tan, Sophie Zinn, Sophia Mohammed July 9, 2020 Youth Researchers Program, UNICEF Evaluation Office Table of Contents Introduction 1 South Africa 3 COVID-19 Educational Response Distance Learning Strategy Challenges Identified Best Practices Cambodia 9 COVID-19 Educational Response Distance Learning Strategy Challenges Identified Best Practices Turkey 15 COVID-19 Educational Response Distance Learning Strategy Challenges Identified Best Practices Albania 20 COVID-19 Educational Response Distance Learning Strategy Challenges Identified Best Practices India 26 COVID-19 Educational Response Distance Learning Strategy Challenges Identified Best Practices Pakistan 35 COVID-19 Educational Response Distance Learning Strategy Challenges 1 Identified Best Practices Nigeria 42 COVID-19 Educational Response 43 Distance Learning Strategy 43 Challenges 45 Identified Best Practices 45 Brazil 43 COVID-19 Educational Response 43 Distance Learning Strategy 43 Challenges 47 Identified Best Practices 49 Indonesia 58 COVID-19 Educational Response 58 Distance Learning Strategy 58 Challenges 59 Identified Best Practices 61 China 63 COVID-19 Educational Response 69 Distance Learning Strategy Challenges 71 Identified Best Practices 72 Egypt 69 COVID-19 Educational Response Distance Learning Strategy Challenges Identified Best Practices Conclusion 2 Abstract Because of the COVID-19 pandemic, countries are experiencing the highest recorded level of school disruption in history. UNESCO (2020) estimates that 290.5 million students are out of school at this time because of school shutdowns and quarantine. As a result, most have turned to distance learning as a solution for continuing education.