Jungi Kim

NLP Researcher

Projects | Jungi Kim

American Sign Language-English Machine Translation

I worked on a government-funded research and development project that developed a bi-directional communication system between signers and speakers. I led a team of linguists and engineers and successfully completed the 5-year long project, exploring end-to-end Tranformer and “segment, classify, decode”-pipeline approaches. The team developed a deep neural network-based sign recognition model that recognizes American Sign language, both sign glosses and fingerspells, and an ASL-English MT model that translates the recognized ASL glosses and fingerspells into English. The demo also translated Spoken English into sign glosses and fingerspells that were animated by an avatar.

Here are the links to the research paper and related open source codes from the early stage of the project:

The final demo system is not in the public domain (yet?) and is being further refined and maintained by the project sponsor.

Neural Machine Translation

Cross-Language Information Retrieval

Multilingual Natural Language Processing