Dialect correction and training

Abstract

For displaying proactive training, a method monitors user communications between electronic devices. The method trains a dialect database on dialects in a user language. The dialect database is trained to identify speech, pronunciations, stresses, accents, gestures, metaphors, and spellings associated with each dialect. The method anticipates communications to take place in the user communications based on a scheduled call. The method modifies a proactive training based on the anticipated user communications for modifying the user dialect to the second dialect based on the dialect correction. The method displays the proactive training on screens of the electronic devices during the user communications in response to the communication difference between the user dialect and the second dialect, wherein the proactive training displays a word and a first meaning in the user dialect and the word and a second meaning in the second dialect.