Sign languages are the primary means of communication for many hard-of-hearing people worldwide. Recently, to bridge the communication gap between the hard-of-hearing community and the rest of the population, several sign language translation datasets have been proposed to enable the development of statistical sign language translation systems. However, there is a dearth of sign language resources for the Indian sign language. This resource paper introduces ISLTranslate, a translation dataset for continuous Indian Sign Language (ISL) consisting of 31k ISL-English sentence/phrase pairs. To the best of our knowledge, it is the largest translation dataset for continuous Indian Sign Language. We provide a detailed analysis of the dataset. To validate the performance of existing end-to-end Sign language to spoken language translation systems, we benchmark the created dataset with a transformer-based model for ISL translation.
ISLTranslate: Dataset for Translating Indian Sign Language
A large translation dataset for continuous Indian Sign Language is introduced and benchmarked with a transformer-based model for translation performance.
- Year
- 2023
- Venue
- arXiv 2023
- Authors
- 3
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- Abstract onlyARXIV-DEFAULT
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- arxiv.org/abs/2307.05440ARXIV-DEFAULT
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