Summary of Enhanced Sign Language Translation Between American Sign Language (asl) and Indian Sign Language (isl) Using Llms, by Malay Kumar et al.
Enhanced Sign Language Translation between American Sign Language (ASL) and Indian Sign Language (ISL) Using LLMs
by Malay Kumar, S. Sarvajit Visagan, Tanish Sarang Mahajan, Anisha Natarajan
First submitted to arxiv on: 19 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The research proposes a novel framework for Learner Systems that enables real-time translation between American Sign Language (ASL) and Indian Sign Language (ISL). The system leverages large models to create key features, including efficient real-time translation from ASL to ISL. The framework’s core pipeline consists of reclassification and recognition of ASL gestures using a Random Forest Classifier, followed by text processing using natural language NLP techniques and Large Language Model (LLM) integration. The final step is synthesizing the translated text back into ISL gestures using RIFE-Net. This end-to-end translation experience aims to overcome linguistic differences between ASL and ISL, automate gesture variability, and improve accessibility for sign language users. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research creates a bridge between ASL and ISL, allowing for seamless translations between the two languages. The system uses large models to recognize ASL gestures and translate them into text, which can then be processed using natural language processing techniques. The translated text is then converted back into ISL gestures, creating an end-to-end translation experience. This innovation aims to improve accessibility for sign language users by automating the translation process. |
Keywords
» Artificial intelligence » Large language model » Natural language processing » Nlp » Random forest » Translation
