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From Data to Dialogue: Unlocking Language for All

Published: December 17, 2025 | arXiv ID: 2512.15552v1

By: Dakota Ellis , Samy Bakikerali , Wanshan Chen and more

Potential Business Impact:

Helps people learn languages faster with fewer words.

Business Areas:
Natural Language Processing Artificial Intelligence, Data and Analytics, Software

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.

Page Count
6 pages

Category
Computer Science:
Computation and Language