Papers with Indian Sign Language
OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages (2022.acl-long)
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| Challenge: | a new study examines the performance of pretraining for sign language recognition in low-resource settings. |
| Approach: | They propose using pose extracted through pretrained models as the standard modality of data to reduce training time and enable efficient inference. |
| Outcome: | The proposed model reduces training time and allows efficient inference in sign languages. |
iSign: A Benchmark for Indian Sign Language Processing (2024.findings-acl)
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Abhinav Joshi, Romit Mohanty, Mounika Kanakanti, Andesha Mangla, Sudeep Choudhary, Monali Barbate, Ashutosh Modi
| Challenge: | Indian Sign Language has limited resources for developing machine learning and data-driven approaches for automated language processing. |
| Approach: | They propose to use a sign language dataset to provide a benchmark for Indian Sign Language processing. |
| Outcome: | The proposed benchmarks will help improve sign language translation models and open up various ways for advancing natural language processing. |
CISLR: Corpus for Indian Sign Language Recognition (2022.emnlp-main)
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Abhinav Joshi, Ashwani Bhat, Pradeep S, Priya Gole, Shashwat Gupta, Shreyansh Agarwal, Ashutosh Modi
| Challenge: | Existing work on natural language processing has shown promising improvements in text classification, translation and generation in widely used spoken languages. |
| Approach: | They propose a new Indian Sign Language corpus for word-level recognition using videos . they propose CISLR model that leverages resource rich American Sign Language to learn generalized features for improving Indian Sign language predictions. |
| Outcome: | The proposed model improves word recognition in Indian Sign Language using video . it leverages resource rich American Sign Language to learn generalized features . |