Lexical variation and change in british sign language. by Rose Stamp, Adam Schembri, Jordan Fenlon, Ramas Rentelis, Bencie Woll, Kearsy Cormier

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Investigating Lexical Variation in British Sign Language in Leeds by Lily Blount

“…This research investigates lexical variation in British Sign Language (BSL) in Leeds, and the extent to which variation in signs for the numbers one to twenty correlate to signer age. …”
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Viewing angle matters in British Sign Language processing by Freya Watkins, Diar Abdlkarim, Bodo Winter, Robin L. Thompson

“…Using a semantic decision task in a distance priming paradigm, we show that British Sign Language signers are slower and less accurate to comprehend signs shown from side viewing angles, with L2 learners in particular making disproportionately more errors when viewing signs from side angles. …”
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Language aptitude in the visuospatial modality: L2 British Sign Language acquisition and cognitive skills in British Sign Language-English interpreting students by Freya Watkins, Stacey Webb, Christopher Stone, Robin L. Thompson

“…Here we report a 3-year exploratory longitudinal skills assessments study with British Sign Language (BSL)-English SLI students at two universities (n = 33). …”
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Translation into British Sign Language and validation of the Strengths and Difficulties Questionnaire by Sophie Roberts, Barry Wright, Kate Moore, Josie Smith, Victoria Allgar, Alan Tennant, Caroline Doherty, Ellen Hughes, Danielle Collingridge Moore, Richard Ogden, Helen Phillips, Lilli Beese, Katherine Rogers

Subjects: “…british sign language…”
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Weakly-supervised fingerspelling recognition in British Sign Language videos by Prajwal, KR, Bull, H, Momeni, L, Albanie, S, Varol, G, Zisserman, A

“…The goal of this work is to detect and recognize sequences of letters signed using fingerspelling in British Sign Language (BSL). Previous fingerspelling recognition methods have not focused on BSL, which has a very different signing alphabet (e.g., two-handed instead of one-handed) to American Sign Language (ASL). …”

British Sign Language teaching as an insight into Chinese Sign Language teaching by Gang Chen

“…The author of the current article is a Chinese Sign Language instructor, and this article mainly focuses on the current challenges in Chinese Sign Language (CSL) teaching, by exploiting British Sign Language (BSL) teaching as a core model for improvements in class management, teaching methods, teaching materials, qualification of sign language instructors and acquisition of CSL by Chinese deaf children. …”
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Indicating verbs in British Sign Language favour motivated use of space by Cormier Kearsy, Fenlon Jordan, Schembri Adam

“…In this study, we use conversational data from the British Sign Language Corpus (www.bslcorpusproject.org) to look at the use of space with modified indicating verbs – specifically the directions in which these verbs are used as well as the co-occurrence of eyegaze shifts and constructed action. …”
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The road to language learning is iconic: evidence from British Sign Language by Robin L. Thompson, David Vinson, Benice Woll, Gabriella Vigliocco

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Automatic learning of British Sign Language from signed TV broadcasts by Buehler, P

Writing profiles of deaf children taught through British Sign Language by Burman, D, Nunes, T, Evans, D

“…Congenitally, profoundly deaf children whose first language is British Sign Language (BSL) and whose speech is largely unintelligible need to be literate to communicate effectively in a hearing society. …”

Writing profiles of deaf children taught through British Sign Language by Burman, D, Nunes, T, Evans, D

“…Congenitally, profoundly deaf children whose first language is British Sign Language (BSL) and whose speech is largely unintelligible need to be literate to communicate effectively in a hearing society. …”

DIFFERENCES BETWEEN AMERICAN SIGN LANGUAGE (ASL) AND BRITISH SIGN LANGUAGE (BSL) by Zora JACHOVA, Olivera KOVACHEVA, Aleksandra KAROVSKA

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Using Serious Games for Learning British Sign Language Combining Video, Enhanced Interactivity, and VR Technology by Daphne Economou, Melissa Russi, Ioannis Doumanis, Markos Mentzelopoulos, Vassiliki Bouki, Jeffery Ferguson

“…Based on a study by Action on Hearing Loss UK in 2013 only 17 percent of this population, can use the British Sign Language (BSL). That leaves a massive proportion of people with a hearing impediment who do not use sign language struggling in social interaction and suffering from emotional distress. …”
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Evaluating the effectiveness and cost-effectiveness of British Sign Language Improving Access to Psychological Therapies: an exploratory study by Alys Young, Katherine Rogers, Linda Davies, Mark Pilling, Karina Lovell, Steve Pilling, Rachel Belk, Gemma Shields, Claire Dodds, Malcolm Campbell, Catherine Nassimi-Green, Deborah Buck, Rosemary Oram

Subjects: “…british sign language…”
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Sociolinguistic Variation in the Nativisation of BSL Fingerspelling by Brown Matt, Cormier Kearsy

Subjects: “…british sign language…”
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Identifying the Correlations Between the Semantics and the Phonology of American Sign Language and British Sign Language: A Vector Space Approach by Aurora Martinez del Rio, Casey Ferrara, Sanghee J. Kim, Emre Hakgüder, Diane Brentari

“…Using phonological information from the vocabularies of American Sign Language (ASL) and British Sign Language (BSL), we tested whether increased similarity between the semantic representations of signs corresponds to increased phonological similarity. …”
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The validation of the Short Warwick-Edinburgh Mental Well-Being Scale (SWEMWBS) with Deaf British Sign Language users in the UK by Katherine D. Rogers, Claire Dodds, Malcolm Campbell, Alys Young

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Iconicity in Signed and Spoken Vocabulary: A Comparison Between American Sign Language, British Sign Language, English, and Spanish by Marcus Perlman, Hannah Little, Bill Thompson, Robin L. Thompson

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British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language by Jordan J. Bird, Anikó Ekárt, Diego R. Faria

“…When transfer learning with the weights trained via British Sign Language, all three models outperform standard random weight distribution when classifying American Sign Language (ASL), and the best model overall for ASL classification was the transfer learning multimodality approach, which scored 82.55% accuracy.…”
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