Project Assessing the quality of textual translations and visual representations in books using data science. Program Mitchell E. Daniels, Jr. School of Business Term Academic Year 2024 Status Closed Research Area Unstructured Data, AI, Data Analytics Description The research is in collaboration with SIL International, the 2023 MS BAIM program’s partner of the year [1]! The students will design some experiments using data from the Bloom library [2, 3] to investigate the language a book is translated in, and determine if the images match the language. Turn the work into an API that Bloom library can use. Supervisor Matthew A Lanham Mentor Matthew A Lanham Type of work required The expected outcomes of this project is that the student team will present a poster of their work at the spring Purdue Undergraduate Research Conference, as well as submit a journal article focused on Data & Analytics for Good [4]. Websites [1] https://business.purdue.edu/news/features/2023/sil-award.php
[2] https://bloomlibrary.org/
[3] https://arxiv.org/abs/2210.14712
[4] https://data-for-good.pubpub.org/ Qualifications Python programming, AI prompting, Text mining Credit Hours 3 Weekly Hours 5 (estimated)