16. The machine learning method of claim 10 , wherein the database includes a geographic word stock related to a location range, and the geographic word stock is constructed by: determining a utilization frequency of a geographic word in the location range; determining that the utilization frequency of the geographic word is greater than a threshold value; and storing the geographic word as corresponding to a corresponding stored sequence of at least one letter in the database.
16. The machine learning method of claim 10 , wherein the database includes a geographic word stock related to a location range, and the geographic word stock is constructed by: determining a utilization frequency of a geographic word in the location range; determining that the utilization frequency of the geographic word is greater than a threshold value; and storing the geographic word as corresponding to a corresponding stored sequence of at least one letter in the database. 17. The machine learning method of claim 16 , wherein the utilization frequency of the geographic word in the location range is determined in relation to the corresponding stored sequence of at least one letter.