8. A method for word recognition associated with finger activated text input on a reduced keyboard apparatus, the method comprising; inputting an at least one word through a keyboard adapted for displaying at least two letters and characterized by having no discrete boundary between the at least two letters, and adapted for enabling input of the at least one word by a succession of keystrokes on the keyboard, wherein a keystroke on the keyboard activates an at least one keyboard region defined according to characteristics of the keystroke and contains an at least one letter candidate therein, computing a probability value associated with the at least one letter candidate in the at least one keyboard region; selecting at least one class of an at least one dictionary, the at least one dictionary comprising an at least one word class categorized according to the first or last letters of an at least one candidate word in the at least one dictionary with which an at least one input word is associated therewith thereby producing an at least one candidate word list, and successively eliminating and sorting words in the candidate word list to provide an at least one solution for the at least one input word; wherein the step of eliminating and sorting weighs the probability value associated with the at least one letter candidate determined by the maximum horizontal distortion, the number of keystrokes performed during input of a word, and the frequency of use value of the at least one candidate word.
8. A method for word recognition associated with finger activated text input on a reduced keyboard apparatus, the method comprising; inputting an at least one word through a keyboard adapted for displaying at least two letters and characterized by having no discrete boundary between the at least two letters, and adapted for enabling input of the at least one word by a succession of keystrokes on the keyboard, wherein a keystroke on the keyboard activates an at least one keyboard region defined according to characteristics of the keystroke and contains an at least one letter candidate therein, computing a probability value associated with the at least one letter candidate in the at least one keyboard region; selecting at least one class of an at least one dictionary, the at least one dictionary comprising an at least one word class categorized according to the first or last letters of an at least one candidate word in the at least one dictionary with which an at least one input word is associated therewith thereby producing an at least one candidate word list, and successively eliminating and sorting words in the candidate word list to provide an at least one solution for the at least one input word; wherein the step of eliminating and sorting weighs the probability value associated with the at least one letter candidate determined by the maximum horizontal distortion, the number of keystrokes performed during input of a word, and the frequency of use value of the at least one candidate word. 10. The method of claim 8 wherein the at least two letters are not defined by limited boundaries.