Dialect correction and training

An apparatus comprising:

• a processor;
• a memory storing code executable by the processor to perform:
• training a dialect database on dialects in a user language, wherein the dialect database is trained to identify speech, pronunciations, stresses, accents, gestures, metaphors, and spellings associated with each dialect;
• monitoring user communications between electronic devices;
• identifying a user language and a user dialect from the user communications using the dialect database that identifies dialects and translates equivalent communications between dialects;
• comparing the user dialect to a second dialect using the dialect database in a scheduled communication;
• identifying a mixed dialect event in response to the user dialect and the second dialect being different;
• identifying a plurality of corresponding different meanings, pronunciations, stresses, spellings, and accents in the second dialect;
• determining a dialect correction using the dialect database in response to the communication difference between the user dialect and the second dialect, wherein the dialect correction highlights the communication differences, wherein the dialect correction comprises a proactive training;
• anticipating communications to take place in the user communications based on a scheduled call;
• modifying the proactive training based on the anticipated user communications for modifying the user dialect to the second dialect based on the dialect correction;
• and
• displaying 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 from the user communication and a first meaning of the word in the user dialect and the word and a second meaning of the word in the second dialect.

A program product comprising a non-transitory computer readable storage medium that stores code executable by a processor, the executable code comprising code to:

• train a dialect database on dialects in a user language, wherein the dialect database is trained to identify speech, pronunciations, stresses, accents, gestures, metaphors, and spellings associated with each dialect;
• monitoring user communications between electronic devices;
• identify a user language and a user dialect from the user communications using the dialect database that identifies dialects and translates equivalent communications between dialects;
• comparing the user dialect to a second dialect using the dialect database in a scheduled communication;
• identify a mixed dialect event in response to the user dialect and the second dialect being different;
• identify a plurality of corresponding different meanings, pronunciations, stresses, spellings, and accents in the second dialect;
• determine a dialect correction using the dialect database in response to the communication difference between the user dialect and the second dialect, wherein the dialect correction highlights the communication differences, wherein the dialect correction comprises a proactive training;
• anticipate communications to take place in the user communications based on a scheduled call;
• modify the proactive training based on the anticipated user communications for modifying the user dialect to the second dialect based on the dialect correction;
• and
• display 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 from the user communication and a first meaning of the word in the user dialect and the word and a second meaning of the word in the second dialect.