@inproceedings{varanasi-etal-2025-cross,
title = "Cross-Linguistic Phonological Similarity Analysis in Sign Languages Using {H}am{N}o{S}ys",
author = "Varanasi, Abhishek Bharadwaj and
Sinha, Manjira and
Dasgupta, Tirthankar",
editor = "Hasanuzzaman, Mohammed and
Quiroga, Facundo Manuel and
Modi, Ashutosh and
Kamila, Sabyasachi and
Artiaga, Keren and
Joshi, Abhinav and
Singh, Sanjeet",
booktitle = "Proceedings of the Workshop on Sign Language Processing (WSLP)",
month = dec,
year = "2025",
address = "IIT Bombay, Mumbai, India (Co-located with IJCNLP{--}AACL 2025)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.wslp-main.9/",
pages = "51--66",
ISBN = "979-8-89176-304-3",
abstract = "This paper presents a cross-linguistic analysis of phonological similarity in sign languages using symbolic representations from the Hamburg Notation System (HamNoSys). We construct a dataset of 1000 signs each from British Sign Language (BSL), German Sign Language (DGS), French Sign Language (LSF), and Greek Sign Language (GSL), and compute pairwise phonological similarity using normalized edit distance over HamNoSys strings. Our analysis reveals both universal and language-specific patterns in handshape usage, movement dynamics, non-manual features, and spatial articulation. We explore intra and inter-language similarity distributions, phonological clustering, and co-occurrence structures across feature types. The findings offer insights into the structural organization of sign language phonology and highlight typological variation shaped by linguistic and cultural factors."
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%0 Conference Proceedings
%T Cross-Linguistic Phonological Similarity Analysis in Sign Languages Using HamNoSys
%A Varanasi, Abhishek Bharadwaj
%A Sinha, Manjira
%A Dasgupta, Tirthankar
%Y Hasanuzzaman, Mohammed
%Y Quiroga, Facundo Manuel
%Y Modi, Ashutosh
%Y Kamila, Sabyasachi
%Y Artiaga, Keren
%Y Joshi, Abhinav
%Y Singh, Sanjeet
%S Proceedings of the Workshop on Sign Language Processing (WSLP)
%D 2025
%8 December
%I Association for Computational Linguistics
%C IIT Bombay, Mumbai, India (Co-located with IJCNLP–AACL 2025)
%@ 979-8-89176-304-3
%F varanasi-etal-2025-cross
%X This paper presents a cross-linguistic analysis of phonological similarity in sign languages using symbolic representations from the Hamburg Notation System (HamNoSys). We construct a dataset of 1000 signs each from British Sign Language (BSL), German Sign Language (DGS), French Sign Language (LSF), and Greek Sign Language (GSL), and compute pairwise phonological similarity using normalized edit distance over HamNoSys strings. Our analysis reveals both universal and language-specific patterns in handshape usage, movement dynamics, non-manual features, and spatial articulation. We explore intra and inter-language similarity distributions, phonological clustering, and co-occurrence structures across feature types. The findings offer insights into the structural organization of sign language phonology and highlight typological variation shaped by linguistic and cultural factors.
%U https://aclanthology.org/2025.wslp-main.9/
%P 51-66
Markdown (Informal)
[Cross-Linguistic Phonological Similarity Analysis in Sign Languages Using HamNoSys](https://aclanthology.org/2025.wslp-main.9/) (Varanasi et al., WSLP 2025)
ACL