The results showed that common word pruning improved the precision of the system (Bicolano: with 52.96% highest improvement at query length 4, Cebuano: with 18.00% highest improvement at query length 1, Tagalog: with 19.78% highest improvement at query length 2).
autoCor on an open corpus yielded the following results: the highest precision values per language range from 14% to 72% and 9% to 61% for DS and NDS, respectively.