SALAD: Smart AI Language Assistant Daily
Project Overview
The document discusses SALAD, an innovative AI-driven application aimed at enhancing Japanese language learning for non-native speakers. This app incorporates a range of features such as translations, speech recognition, vocabulary tracking, grammar explanations, and the unique ability to generate personalized songs based on users' vocabulary, creating an engaging and customized learning experience. SALAD addresses the common challenges learners face when attempting to communicate with native speakers, thereby fostering greater confidence and skill development. User feedback suggests a strong belief in the app’s potential to significantly improve language proficiency, although it also highlights some challenges, including issues related to language specificity and dependence on external APIs for functionality. Overall, the document underscores the transformative role of generative AI in education, particularly in language acquisition, by providing tailored, interactive, and effective learning tools that cater to individual user needs.
Key Applications
SALAD (Smart AI Language Assistant Daily)
Context: Language learning for foreigners in Japan, targeting beginners and intermediate learners.
Implementation: The app integrates modules for translation, vocabulary tracking, grammar explanations, and song generation. Users can input text or speech, receive translations, and track progress.
Outcomes: Users reported enhanced confidence in their language skills, with 60% expressing belief in SALAD's effectiveness. The app offers personalized learning experiences and integrates entertainment through music.
Challenges: Limitations include language specificity (only English to Japanese), reliance on third-party APIs like ChatGPT, and partial success in song generation.
Implementation Barriers
Technical Limitations
The system is limited to English to Japanese translation, restricting its user base.
Proposed Solutions: Potential to expand language pairs to include more languages.
Dependency Issues
Heavy reliance on the ChatGPT API affects performance and availability.
Proposed Solutions: Developing a custom fine-tuned language model could enhance control and capabilities.
Quality of Output
Partial success in song generation may not meet user expectations.
Proposed Solutions: Further research and development are needed to improve song quality and variety.
Project Team
Ragib Amin Nihal
Researcher
Tran Dong Huu Quoc
Researcher
Lin Zirui
Researcher
Xu Yimimg
Researcher
Liu Haoran
Researcher
An Zhaoyi
Researcher
Kyou Ma
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Ragib Amin Nihal, Tran Dong Huu Quoc, Lin Zirui, Xu Yimimg, Liu Haoran, An Zhaoyi, Kyou Ma
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai