activity
20202022
most citedTransfer Learning for British Sign Language Modelling

8 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2022

Classification of Phonological Parameters in Sign Languages

Boris Mocialov, Graham Turner, Helen Hastie

Signers compose sign language phonemes that enable communication by combining phonological parameters such as handshape, orientation, location, movement, and non-manual features. L…

cs.CL20222 cited

Unsupervised Sign Language Phoneme Clustering using HamNoSys Notation

Boris Mocialov, Graham Turner, Helen Hastie

Traditionally, sign language resources have been collected in controlled settings for specific tasks involving supervised sign classification or linguistic studies accompanied by s…

eess.SY20212 cited

ViaPPS: A Mobile Pavement Profiling System

H. Giudici, B. Mocialov, A. Myklatun

Ensuring safety levels on roads is an imperative task for road authorities. Significant amounts of time and money are spent on performing road inspections every year. In order to e…

cs.CL20208 cited

Transfer Learning for British Sign Language Modelling

Boris Mocialov, Graham Turner, Helen Hastie

Automatic speech recognition and spoken dialogue systems have made great advances through the use of deep machine learning methods. This is partly due to greater computing power bu…

cs.CL2020

Towards Large-Scale Data Mining for Data-Driven Analysis of Sign Languages

Boris Mocialov, Graham Turner, Helen Hastie

Access to sign language data is far from adequate. We show that it is possible to collect the data from social networking services such as TikTok, Instagram, and YouTube by applyin…