This document summarizes a paper that analyzes how native Japanese and English speakers monitor and provide feedback during language production. It uses mazes, algorithms, and Excel macros to simulate this process. Speakers of both languages check their speech and make corrections at the sentence level, seeking the most efficient path. Mazes show the learning process, while algorithms and spreadsheets model how speakers select words and structure sentences. For example, a Japanese speaker may change a verb to continue a thought, and an English speaker may replace one word with another after monitoring their speech. The analysis suggests this monitoring ability is important for both native and non-native language acquisition.