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Automatic Alignment of HamNoSys Subunits for Continuous Sign Language Recognition

Koller, O, Bowden, R and Ney, H (2016) Automatic Alignment of HamNoSys Subunits for Continuous Sign Language Recognition In: LREC 2016: 10th edition of the Language Resources and Evaluation Conference, 2016-05-23 - 2016-05-28, Portorož (Slovenia).

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Abstract

This work presents our recent advances in the field of automatic processing of sign language corpora targeting continuous sign language recognition. We demonstrate how generic annotations at the articulator level, such as HamNoSys, can be exploited to learn subunit classifiers. Specifically, we explore cross-language-subunits of the hand orientation modality, which are trained on isolated signs of publicly available lexicon data sets for Swiss German and Danish Sign Language and are applied to continuous sign language recognition of the challenging RWTH-PHOENIX-Weather corpus featuring German Sign Language. We observe a significant reduction in word error rate using this method.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
NameEmailORCID
Koller, OUNSPECIFIEDUNSPECIFIED
Bowden, RUNSPECIFIEDUNSPECIFIED
Ney, HUNSPECIFIEDUNSPECIFIED
Date : May 2016
Copyright Disclaimer : Copyright by the European Language Resources Association. The LREC 2016 Proceedings are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Depositing User : Symplectic Elements
Date Deposited : 07 Nov 2016 11:04
Last Modified : 31 Oct 2017 18:54
URI: http://epubs.surrey.ac.uk/id/eprint/812762

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