10. A method for recognizing a sequence of characters comprising: a) sending the sequence of characters to a neural network implemented on a computer, b) forming by the neural network a sequence of features from the sequence of characters taking into account lexical stored information, c) selecting reference combination of features from saved lexical information on the basis of the sequence of features formed in step b), said reference combination of features having a defined meaningful content, and comparing the sequence of features formed in step b) with the reference combination of features, d) repeating step c) with new reference combinations of features until, by minimizing contradictions, a reference combination of features that substantially agrees with the sequence of features formed in step b) is found, and e) if the reference combination of features found in step (d) matches one of a plurality of predetermined acceptable combinations of features, then outputting the meaningful content of the reference combination of features found in step (d) as a result, else forming a new sequence of features by the neural network in accordance with step b), and repeating steps c) to e).
10. A method for recognizing a sequence of characters comprising: a) sending the sequence of characters to a neural network implemented on a computer, b) forming by the neural network a sequence of features from the sequence of characters taking into account lexical stored information, c) selecting reference combination of features from saved lexical information on the basis of the sequence of features formed in step b), said reference combination of features having a defined meaningful content, and comparing the sequence of features formed in step b) with the reference combination of features, d) repeating step c) with new reference combinations of features until, by minimizing contradictions, a reference combination of features that substantially agrees with the sequence of features formed in step b) is found, and e) if the reference combination of features found in step (d) matches one of a plurality of predetermined acceptable combinations of features, then outputting the meaningful content of the reference combination of features found in step (d) as a result, else forming a new sequence of features by the neural network in accordance with step b), and repeating steps c) to e). 11. A method according to claim 10 , wherein an earlier iteration of steps c) to e) comprises storing a reference combination of features found in step d) in a temporary memory and a later iteration of steps c) to e) comprises comparing the sequence of features with the stored reference combination of features.