Annual Report of Achievements
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The Sociolinguistics of Sign Languages This is an accessible introduction to the major areas of sociolinguistics as they relate to sign languages and Deaf communities. Clearly organized, it brings together a team of leading experts in sign linguistics to survey the field, and covers a wide range of topics including variation, multilingualism, bilingual- ism, language attitudes, discourse analysis, language policy and planning. The book examines how sign languages are distributed around the world; what oc- curs when they come in contact with spoken and written languages; and how signers use them in a variety of situations. Each chapter introduces the key issues in each area of inquiry and provides a comprehensive review of the literature. The book also includes suggestions for further reading and helpful exercises. Preview from Notesale.co.uk The Sociolinguistics of Sign Languages will be welcomed by students in Deaf studies, linguistics and interpreter training, as well as spoken language researchers, and researchers and teachers of sign languages. Page 3 of 279 CEIL LUCAS is Professor of Linguistics at Gallaudet University. She is the co- author of The Linguistics of ASL and of Language Contact in the American Deaf Community (both with Clayton Valli), both published in 1992. xii List of contributors FRANCES ELTON is a Lecturer in Sign Language and Deaf Studies at City University in London and teaches the only advanced British Sign Language (BSL) linguistics course for BSL tutors and Deaf Professionals in the UK. She was a Teaching Fellow at Durham University and has played a key role in the training of BSL tutors since 1987. -
Sign Language and Computing in a Developing Country: a Research Roadmap for the Next Two Decades in the Philippines
Sign Language and Computing in a Developing Country: A Research Roadmap for the Next Two Decades in the Philippines a b Liza B. Martinez and Ed Peter G. Cabalfin a Philippine Deaf Resource Center, Inc. 27 K-7 Street, West Kamias, Quezon City 1102 Philippines [email protected] b Computer Vision & Machine Intelligence Laboratory Department of Computer Science, College of Engineering University of the Philippines, Diliman, Quezon City 1101 Philippines [email protected] Abstract. This paper presents the current situation of Filipino Sign Language in the Deaf community and milestones in sign linguistics research. It highlights key computing research, particularly in Asia as well as enumerates research attempts to date of Philippine academic institutions which have applications in sign language recognition. This paper also touches on technical considerations, economic feasibility, partnerships and other sociocultural considerations appropriate for a developing country such as the Philippines. Keywords: Filipino Sign Language, Philippines, sign language recognition, research agenda 1. Introduction 1.1.The Filipino deaf community The last Census on disability reports over 121,000 Filipinos with hearing loss (NSO 2000). The deaf community (as with the other disabled sectors) remains widely marginalized from the mainstream of society, lagging behind recognized disadvantaged groups such as peasants, urban poor, fisher folk and indigenous peoples. Despite this, the Filipino Deaf remain a vibrant and dynamic assemblage of communities throughout the archipelago bound by their visual language. This complex spatial-gestural rule-governed mode of communication endows a strong sense of collective identity. Sign language is at the core of the progressive view of deafness as a culture, and of deaf people as a linguistic minority. -
Persian Sign Gesture Translation to English Spoken Language on Smartphone
Published by : International Journal of Engineering Research & Technology (IJERT) http://www.ijert.org ISSN: 2278-0181 Vol. 9 Issue 06, June-2020 Persian Sign Gesture Translation to English Spoken Language on Smartphone Muhammad Reza Jafari Dr. Vinod Kumar Computer Science & Engineering Department Computer Science & Engineering Department Delhi Technological University (DTU) Delhi Technological University (DTU) Delhi, India Delhi, India Abstract — Hearing impaired and others with verbal Persian language is no exception. Figure 1 shows the Persian challenges face difficulty to communicate with society; Sign sign Language Alphabets. Language represents their communication such as numbers or phrases. The communication becomes a challenge with people from other countries using different languages. Additionally, the sign language is different from one country to another. That is, learning one sign language doesn’t mean learning all sign languages. To translate a word from sign language to a spoken language is a challenge and to change a particular word from that language to another language is even a bigger challenge. In such cases, there is necessity for 2 interpreters: One from sign language to the source-spoken language and one from the source language to the target language. There is ample research done on sign recognition, yet this paper focuses on translating gestures from one language to another. In this study, we are proposing the use of smartphone as a platform for Sign Language recognition, because smartphones are available worldwide. Smartphones are limited in computational power and we propose a system of client- server application where most of processing tasks are done on the server side. In client-server application system, client could be a smartphone application that captures images of sign gestures to be recognized and sent to a server. -
Recognizing Non-Manual Signals in Filipino Sign Language
Recognizing Non-manual Signals in Filipino Sign Language Joanna Pauline Rivera, Clement Ong De La Salle University Taft Avenue, Manila 1004 Philippines joanna [email protected], [email protected] Abstract Filipino Sign Language (FSL) is a multi-modal language that is composed of manual signlas and non-manual signals. Very minimal research is done regarding non-manual signals (Martinez and Cabalfin, 2008) despite the fact that non-manual signals play a significant role in conversations as it can be mixed freely with manual signals (Cabalfin et al., 2012). For other Sign Languages, there have been numerous researches regarding non-manual; however, most of these focused on the semantic and/or lexical functions only. Research on facial expressions in sign language that convey emotions or feelings and degrees of adjectives is very minimal. In this research, an analysis and recognition of non-manual signals in Filipino Sign Language are performed. The non-manual signals included are Types of Sentences (i.e. Statement, Question, Exclamation), Degrees of Adjectives (i.e. Absence, Presence, High Presence), and Emotions (i.e. Happy, Sad, Fast-approaching danger, Stationary danger). The corpus was built with the help of the FSL Deaf Professors, and the 5 Deaf participants who signed 5 sentences for each of the types in front of Microsoft Kinect sensor. Genetic Algorithm is applied for the feature selection, while Artificial Neural Network and Support Vector Machine is applied for classification. Keywords: non-manual signal, Filipino Sign Language, Kinect, machine learning 1. Introduction Recognition (GR) alone (Cooper et al., 2011). Sign lan- Filipino Sign Language (FSL) is a communication medium guage is a multi-modal language that has two components: among the Deaf in the Philippines. -
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. -
Persian Sign Language Recognition Using Radial Distance and Fourier Transform
I.J. Image, Graphics and Signal Processing, 2014, 1, 40-46 Published Online November 2013 in MECS (http://www.mecs-press.org/) DOI: 10.5815/ijigsp.2014.01.06 Persian Sign Language Recognition Using Radial Distance and Fourier Transform Bahare Jalilian Department of Computer Engineering, Kermanshah Science and Research Branch, Islamic Azad University Kermanshah, Iran [email protected] Abdolah Chalechale Department of Computer Engineering, Razi University Kermanshah, Iran [email protected] Abstract — This paper provides a novel hand gesture information. In gesture recognition, sign Language is recognition method to recognize 32 static signs of the translated for dynamic hand motions. In posture Persian Sign Language (PSL) alphabets. Accurate hand recognition, sign Language is recognized for static segmentation is the first and important step in sign alphabets and numbers. Sign language recognition language recognition systems. Here, we propose a system is useful for the hearing impaired to method for hand segmentation that helps to build a communicate with the normal people. better vision based sign language recognition system. Research on automatic sign recognition has been The proposed method is based on YCbCr color space, started since around 1995 [1]. Many different techniques single Gaussian model and Bayes rule. It detects region for hand gestures recognition have been analyzed, such of hand in complex background and non-uniform as fuzzy logic [2], Hidden Markov Models (HMMs) [3], illumination. Hand gesture features are extracted by neural networks [4, 5] and support vector machine [6]. radial distance and Fourier transform. Finally, the Tsai and Huang used Support Vector Machine (SVM) to Euclidean distance is used to compute the similarity recognize the static sign and apply HMM model to between the input signs and all training feature vectors identify the dynamic signs in the Taiwanese Sign in the database. -
Wfd Newsletter
WORLD FEDERATION OF THE DEAF WFD NEWSLETTER President Newsletter Editor Markku Jokinen WFD General Secretariat Email: [email protected] Email: [email protected] Website: www.wfdeaf.org FEBRUARY 2009 IN THIS ISSUE: WFD INFORMATION ............................................................................................................................. 2 Deaf people are not able to enjoy human rights ..................................................................................... 2 Nepal –Going Forward ......................................................................................................................... 4 WFD Congress in South Africa 2011 .................................................................................................... 5 WFD’s Mexico Conference 2009 CANCELLED .................................................................................. 5 Membership information ...................................................................................................................... 6 INTERNATIONAL AND UNITED NATIONS NEWS ............................................................................ 6 CRPD COMMITTEE STARTS ITS WORK ........................................................................................ 6 A New Website to Claim Human Rights in Africa ................................................................................ 8 People with disabilities must play key role in development, says Ban .................................................... 9 Disability Rights Fund Targets -
Prayer Cards (216)
Pray for the Nations Pray for the Nations Deaf in Aruba Deaf in Antigua and Barbuda Population: 800 Population: 500 World Popl: 48,206,860 World Popl: 48,206,860 Total Countries: 216 Total Countries: 216 People Cluster: Deaf People Cluster: Deaf Main Language: Language unknown Main Language: Language unknown Main Religion: Christianity Main Religion: Christianity Status: Superficially reached Status: Superficially reached Evangelicals: Unknown % Evangelicals: Unknown % Chr Adherents: 92.9% Chr Adherents: 92.5% Scripture: Unspecified Scripture: Unspecified www.joshuaproject.net www.joshuaproject.net "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 Deaf in UAE Deaf in Afghanistan Population: 20,000 Population: 398,000 World Popl: 48,206,860 World Popl: 48,206,860 Total Countries: 216 Total Countries: 216 People Cluster: Deaf People Cluster: Deaf Main Language: Language unknown Main Language: Afghan Sign Language Main Religion: Islam Main Religion: Islam Status: Minimally Reached Status: Unreached Evangelicals: Unknown % Evangelicals: Unknown % Chr Adherents: 8.55% Chr Adherents: 0.05% Scripture: Unspecified Scripture: Translation Needed www.joshuaproject.net www.joshuaproject.net "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 Deaf in Algeria Deaf in Azerbaijan Population: 223,000 Population: 77,000 World Popl: 48,206,860 World Popl: 48,206,860 Total Countries: -
Situation of Sign Language Interpreting in the Asian Region (July 2015)
Situation of sign language interpreting in the Asian region (July 2015) 1. How many accredited sign language interpreters are there in your country? Country Number of interpreters Bangladesh 30 interpreters Cambodia 6 interpreters are employed by the DDP program and 2 interpreters from Punonpen. China Hong Kong Approx. 10 interpreters. There is no certified interpreter. India 45 Diploma (Top Level in ISL so far) passed from AYJNIHH, currently undergoing Diploma in ISL interpreting – 43. Approx 20 from Ramakrishna Mission ISL centre. But NOT ALL are registered with Rehabilitation Council of India yet. Rest basic B level (6 months training) interpreters approx – 80 Indonesia At the moment in Jakarta we have 7 active SLI from 14-SLI that are accepted by Gerkatin (the mother organization for the deaf in Indonesia) and are used in formal and informal events. There are about 15 SLI serving in churches, a decreased from 20-SLI in 2010. Japan Nationally certified: 3,500 Prefecturally certified: about 4,000-5,000 Employed sign language interpreters: 1,500 Jordan Approx. 35 certified interpreters. Possibly another 35 non-certified. Quite a number are CODA’s with minimal education. Most interpreters have Diploma or University degrees. Interpreter training done at one of the Institute for Deaf Education. Plans are afoot to formalize and develop Interpreter training and take it to Diploma level. Macau Macau Deaf Association has 7 sign language interpreters at work currently. Malaysia 50 interpreters in Malaysia Association of Sign Language Interpreters (Myasli). 80 accredited sign Language interpreters in Malaysia. Mongolia We do not have an accreditation system yet. -
Filipino Sign Language Considered As “Local” Or “ Native”
FilipinoFilipino SignSign LanguageLanguage WhatWhat isis FSL?FSL? ¾ Natural sign language of Filipino Deaf. ¾Indigenous sign language especially of Deaf adult communities. HowHow diddid FSLFSL beginbegin ?? ¾Beginning of FSL –same way as the beginning of other natural sign languages of other countries. ¾Through Filipino Deaf persons coming together and communicating with each other. WhenWhen diddid FSLFSL beginbegin ?? ¾Not certain (no recorded history) ¾Before the establishment of the very first School for the Deaf in 1907 ¾As early as the existence of early Deaf adult communities ““FSLFSL””,, AnAn InferiorInferior Language?Language? ¾Early Filipino Deaf persons favored ASL (learned from the first American missionaries) ¾Filipino Sign Language considered as “local” or “ native” ¾FSL was set aside LateLate RecognitionRecognition ¾Name “ FSL” - a recent development . ¾Start of name “FSL” - early 90’s - awareness about own indigenous sign language for Filipino. ¾Thru aware and enlightened Filipino Deaf and hearing professionals (with exposures to other natural sign languages of other countries). CouldCould youyou describedescribe FSL?FSL? ¾Has own linguistic features –vocabulary, word order and rules of grammar ¾FSL features not yet fully explored and subjected to research ¾Many FSL signs already identified. Samples from FSL Vocabulary 1.“grabe” 2. “sawa” (turn off) 3. not include 4. eye throw/drop 5. dangerous (out of topic) 6. “bahala ka” (self) 7. “kuripot” (stingy) 8. “sobrang pagod” (too much tired) 9. “Mahirap” (hard work) 10. “sayang” (such a waste) 11. “think zero” (don’t think) IssuesIssues andand ConcernsConcerns RelatedRelated toto FSLFSL 1.1. ResearchResearch EffortsEfforts 1.1. Research - a very new development in Filipino Deaf History. 1.2. On-going separate researches on FSL 1.2.1 Dr. -
Issues in Sign Language Translation, with Special Reference to Bible Translation Mark Penner SIL-UND
Work Papers of the Summer Institute of Linguistics, University of North Dakota Session Volume 49 Article 3 2008 Issues in Sign Language Translation, with Special Reference to Bible Translation Mark Penner SIL-UND Follow this and additional works at: https://commons.und.edu/sil-work-papers Part of the Linguistics Commons Recommended Citation Penner, Mark (2008) "Issues in Sign Language Translation, with Special Reference to Bible Translation," Work Papers of the Summer Institute of Linguistics, University of North Dakota Session: Vol. 49 , Article 3. DOI: 10.31356/silwp.vol49.03 Available at: https://commons.und.edu/sil-work-papers/vol49/iss1/3 This Article is brought to you for free and open access by UND Scholarly Commons. It has been accepted for inclusion in Work Papers of the Summer Institute of Linguistics, University of North Dakota Session by an authorized editor of UND Scholarly Commons. For more information, please contact [email protected]. Issues in Sign Language Translation, with Special Reference to Bible Translation Mark Penner WorldVenture and University of North Dakota Sign Language (SL) translation is a field of growing interest to major groups involved in translation, but many SL translation projects are encountering difficulties. In examining these, I argue that the Deaf community occupies a unique sociolinguistic context as it relates to translation, and that this makes Deaf ownership of translation projects and training of Deaf people a high priority. I then look at three other salient issues in SL translation: personnel, exegesis, and the question of signing style, offering tentative solutions. In addition, I suggest that projects might benefit from: 1) engaging in discourse studies early in the SL translation process, 2) a single-line approach to glossing that works well with analytical software, 3) maintaining a pure sign language environment, and 4) implementing effective comprehension testing methods. -
Being Lgbt in Asia: the Philippines Country Report
BEING LGBT IN ASIA: THE PHILIPPINES COUNTRY REPORT A Participatory Review and Analysis of the Legal and Social Environment for Lesbian, Gay, Bisexual and Transgender (LGBT) Individuals and Civil Society Proposed citation: UNDP, USAID (2014). Being LGBT in Asia: The Philippines Country Report. Bangkok. This report was technically reviewed by UNDP and USAID as part of the ‘Being LGBT in Asia’ initiative. It is based on the observations of the author(s) of the Philippine National LGBT Community Dialogue held in Manila in June 2013, conversations with participants and a desk review of published literature. The views and opinions in this report do not necessarily reflect official policy positions of the United Nations Development Programme or the United States Agency for International Development. UNDP partners with people at all levels of society to help build nations that can withstand crisis, and drive and sustain the kind of growth that improves the quality of life for everyone. On the ground in more than 170 countries and territories, we offer global perspective and local insight to help empower lives and build resilient nations. Copyright © UNDP 2014 United Nations Development Programme UNDP Asia-Pacific Regional Centre United Nations Service Building, 3rd Floor Rajdamnern Nok Avenue, Bangkok 10200, Thailand Email: [email protected] Tel: +66 (0)2 304-9100 Fax: +66 (0)2 280-2700 Web: http://asia-pacific.undp.org/ Design: Safir Soeparna/Ian Mungall/UNDP. BEING LGBT IN ASIA: THE PHILIPPINES COUNTRY REPORT A Participatory Review and Analysis