7 search results - page 1 / 2 » Learning Signs from Subtitles: A Weakly Supervised Approach ... |
CVPR
2009
IEEE
14 years 10 months ago
2009
IEEE
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Bas...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
The goal of this work is to automatically learn a large
number of British Sign Language (BSL) signs from TV
broadcasts. We achieve this by using the supervisory information
avai...
HCI
2009
13 years 2 months ago
2009
The availability of video format sign language corpora limited. This leads to a desire for techniques which do not rely on large, fully-labelled datasets. This paper covers various...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
Current sign language recognition systems are still designed for signer-dependent operation only and thus suffer from the problem of interpersonal variability in production. Appli...
ACL
2006
13 years 6 months ago
2006
Named Entity recognition (NER) is an important part of many natural language processing tasks. Current approaches often employ machine learning techniques and require supervised d...