Traditional linguists have proposed the use of a General Service List (GSL) to assist new language learners in identifying the most important words in English. This process requires linguistic expertise, subjective input, and a considerable amount of time. We attempt to create our own GSL and evaluate its practicality against the industry standard (The NGSL). We found creating a Specialized Word List (SWL), or a word list specific to a subset of the overall corpus, to be the most practical way for language-learners to optimize the process. The SWL's that we created using our model outperformed the industry standard, reaching the 95% coverage required for language comprehension with fewer words comparatively. By restricting the SWL process to objective criteria only, it can be automated, scaled, and tailored to the needs of language-learners across the globe.
@article{arxiv.2512.15552,
title = {From Data to Dialogue: Unlocking Language for All},
author = {Dakota Ellis and Samy Bakikerali and Wanshan Chen and Bao Dinh and Uyen Le},
journal= {arXiv preprint arXiv:2512.15552},
year = {2025}
}