“Sign to Me, Not the Children”: Ideologies of Language
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Sociocultural and Linguistic Contexts of the Russian Sign Language Functioning in Krasnoyarsk Krai
Journal of Siberian Federal University. Humanities & Social Sciences 2020 13(3): 296-303 DOI: 10.17516/1997-1370-0565 УДК 16.21.27 Sociocultural and Linguistic Contexts of the Russian Sign Language Functioning in Krasnoyarsk Krai Liudmila V. Kulikova and Sofya A. Shatokhina Siberian Federal University Krasnoyarsk, Russian Federation Received 21.02.2020, received in revised form 25.02.2020, accepted 06.03.2020 Abstract. The article contains an ethnographic description of the conditions governing the use of the regional sign language in Krasnoyarsk Krai within the modern sociolinguistic context. The subject of the discussion is the problem of the linguistic design of sign languages in general, including some features of Russian Sign Language. The study provides statistical information and legal norms for the use of this iconic communication system. A study of the current state of Russian Sign Language functioning in Krasnoyarsk Krai allows us to talk about a change in the status of this sign language, an increasing interest in issues related to its applied significance, and reinforces the need to develop new theoretical approaches to its institutionalization. Keywords: Russian Sign Language, fingerspelling, regional variants, Krasnoyarsk krai, language policy. This research is supported by the Russian Foundation for Basic Research (RFBR), Grant No. 20-012-00321 “Regional sign languages: multimodal electronic corpus (the case of the communicative space of Eastern Siberia)”. Research area: linguistics. Citation: Kulikova, L.V., Shatokhina, S.A. (2020). Sociocultural and linguistic contexts of the Russian Sign Language functioning in Krasnoyarsk Krai. J. Sib. Fed. Univ. Humanit. Soc. Sci., 13(3), 296-303. DOI: 10.17516/1997-1370-0565. -
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]. -
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. -
Small World FM.Indd
Introduction DEAF-SAME and Difference in International Deaf Spaces and Encounters Annelies Kusters and Michele Friedner ●●● Deaf people from all over the world attended the Paris World Fair in 1900. There, a French deaf leader remarked that deaf people around the world “know no borders.” ●●● Andrew Foster, an African American deaf pastor and educator, estab- lished more than thirty deaf schools in Africa. His methods inspired deaf Nigerians, who applied Foster’s strategies in their voluntary work projects with deaf people in Fiji. ●●● Expatriates and local Cambodians set up deaf tourism agencies in Cam- bodia. Previously, local deaf people acted as guides for foreign visitors informally and without financial compensation. ●●● A deaf American lawyer traveled through Chile and founded a non- governmental organization to support Chilean deaf advocacy efforts by providing legal services and training. ●●● Deaf youth from all over the world who attended the World Federation of the Deaf Youth Section camp in Durban commented on how the camp provided opportunities for learning, networking, and empowerment. ●●● A deaf person from Eritrea traveled to Sweden and was shocked to discover how similar her sign language is to Swedish Sign Language. While the dynamics in each of these encounters between diverse deaf1 peo- ple around the world vary, they all involve deaf people meeting each other in 1 We write deaf with a lowercase “d” because we see deaf as more encompassing, less politi- cized, and less context-dependent than Deaf. As readers will note, the chapter authors have made different choices regarding use of deaf and Deaf. Small World_Introduction.indd 9 24/08/15 3:21 PM x Introduction international spaces. -
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. -
The Impact of Linguistic Colonialism on the Singapore Deaf
Revisiting the past to understand the present: The impact of linguistic colonialism on the Singapore Deaf Community and the evolution of Singapore Sign Language (SgSL) Phoebe Tay Gallaudet University & Deaf Bible Society • Peng introduced Shanghainese Sign Language (SSL) and written Background Chinese as the language of instruction in the school (Singapore Commentary on Language Debate Singapore has a history of colonialism, in both Singapore society and School for the Deaf 50th Anniversary Celebration 1963-2013 2013). Name: Ned (Pseudonym) the Singapore Deaf Community. This has influenced language • The Red Cross Society also provided an education for deaf Gender: Male ideologies and evolution of both spoken and sign languages. This children using oral communication modes around the same time. Age: 37 research examines the impact of linguistic colonialism on the • 1963 - the Singapore Chinese Sign School merged with the oral Ethnicity: Chinese Singapore Deaf Community and how language ideologies of Singapore school for the deaf. This became the Singapore School for the Deaf Background: deaf family, native SSL user society influence those of the Deaf community. The factors contributing (SSD). The school had a Chinese sign section and an oral section. Q: Do you think SEE-II benefits Deaf children? to historical change of sign language in Singapore will be explored. Peng became its first deaf principal. A: Yes, SEE is a must! Sure, it benefits deaf children. As it enforces According to Fontana, et al. (2017, 363), “changes in language attitude •Since SSD’s inception, there have been changes in deaf education the sentence to be gestured out word by word in a proper flow. -
Sanusi Abubakar Using Participatory
Sanusi Abubakar Using Participatory Methods To Improve Health Literacy Of Mothers In Northern Nigeria: An Action Research Project Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy School of Health and Related Research April 2019 ii For Hajia Saratu Saidu and Alhaji Abubakar Adofu; Hajia Hauwa M. Ari and Hajia Ummul-Khairi Suleiman; Dr Aisha Mukhtar, Dr Salamatu Abubakar and Hajia Zainab Abubakar; Abdurahman, Habibullah, Ihsan, Abdallah, Abba, Husna and Eaman. ii Declaration I certify that this thesis submitted for the degree of Doctor of Philosophy is the result of my own research, except where otherwise acknowledged. No portion of the work presented in this thesis has been submitted for another degree or qualification to this, or any other, university or institution. Sanusi Abubakar 3 Abstract Background: Maternal and neonatal health is an important global public health priority. Outcomes remain poor, especially in rural, peri-urban or marginalised communities. Public health interventions and conventional health promotion programmes are often challenging to implement and can fail to lead to sustainable change. Research suggests that participation influences literacy; which in turn is more likely to lead to sustainable health-related changes especially in marginalised settings, but there are challenges to implementation. Aim: To assess whether an action research approach using a mix of participatory methods can improve the health literacy of women living in peri-urban and rural areas of Northern Nigeria Methods: Three communities were recruited into the project; one as comparison and two in which women’s groups were established. The research project had three stages: designing, implementing and evaluating the complex (health promotion) intervention.