The goal of engineering examinations is to measure the academic performance of our students with respect to learning outcomes. On exams, the students are often asked contextualized questions using vocabulary that might be unfamiliar. A study is being conducted that investigates the accessibility of language on engineering exams with the goal of making language clearer for all students.Specifically, a Term-Frequency Inverse-Document Frequency (TF-IDF) algorithm is used to characterize words on a given engineering exam. By comparing data across different test cases, the TFIDF algorithm appears to accurately distinguish discipline-specific vocabulary from non-disciplinespecific vocabulary. These results inform an approach that could maintain the integrity of engineering exams and create more accessible assessment tools.