This study develops an automatic procedure for mapping and analyzing Korean and Vietnamese readings of Chinese characters. The dataset was constructed from the graded Chinese-character list (급수별 배정한자) provided on the official website of the Society for Korean Language & Literary Research (한국어문교육연구회). Characters with multiple Sino-Korean readings were divided into separate records according to their meaning–reading distinctions. When multiple Sino-Vietnamese readings remained unresolved because sufficient lexical context was unavailable, the first-listed reading was used for analysis. The final dataset contained 6,236 records. Unicode code points were used to match the same characters across the Korean and Vietnamese data. Sino-Korean readings were decomposed into onsets, nuclei, and codas by using the structure of precomposed Hangul syllables. Sino-Vietnamese readings were decomposed into onsets, nuclei, codas, and tones through NFD normalization, tone extraction, NFC recomposition, and rule-based parsing. The correspondence analysis was conducted on 6,219 records with valid readings in both languages. The analysis was designed to establish an initial quantitative baseline for the major correspondence patterns across the full dataset. The results showed that coda correspondences were generally more regular than onset and nucleus correspondences. Sino-Korean ㄴ, ㅁ, ㄹ, and ㅂ corresponded mainly to Sino-Vietnamese -n, -m, -t, and -p, respectively. Sino-Korean ㅇ corresponded mainly to -ng and -nh, while ㄱ corresponded mainly to -c and -ch. Onset and nucleus correspondences showed greater variation. The results provide a quantitative basis for comparing the two reading systems and may support further research on historical phonology and Sino-Korean vocabulary education for Vietnamese learners.