Classification of Phonological Parameters in Sign Languages

no code implementations • 24 May 2022 • 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.

Classification Pose Estimation

Unsupervised Sign Language Phoneme Clustering using HamNoSys Notation

no code implementations • 21 May 2022 • 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 specific annotation type.

Clustering

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

no code implementations • LREC 2020 • Boris Mocialov, Graham Turner, Helen Hastie

Access to sign language data is far from adequate.

Transfer Learning for British Sign Language Modelling

no code implementations • COLING 2018 • 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.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4