Date of Award
Santa Clara : Santa Clara University, 2020.
Computer Science and Engineering
English is immensely important and useful in our society, however there are many people across the world who are learning English as a second language and have limited options to practice. Casual English conversations with native speakers is one of the most proven and immersive ways to practice a language. However, not everyone has those opportunities or the resources to attend ESL classes. We aim to solve this issue with our project PLATICA, a robust, low-cost mobile application that anyone can use to build experience conversing in English. PLATICA takes advantage of state-of-the-art deep learning and natural language processing techniques to emulate real conversations while providing real-time grammar feedback to assist the user in improving their English skills. PLATICA as an end-to-end learning pipeline could also be adapted to other languages in the future.
Tran, Nam; Cori, Philip; Morales, Andres; and Johnson, Evan, "PLATICA: Personalized Language Acquisition Training & Instruction Chatbot Assistant" (2020). Computer Science and Engineering Senior Theses. 177.