Method of and system for processing a user-generated input command

1. A method of processing a user-generated input command, the method being executable at a server, and comprising:

in a training phase:

receiving, by the server, a plurality of example expressions, the example expressions corresponding to a plurality of different natural language expressions of the user-generated input command associated with a machine-executable instruction,

the plurality of different natural language expressions being in a form of user-generated speech received from a user, and having been converted into a text data for detecting the user-generated input command embedded therein;

generating, by the server, features for each of the plurality of different natural language expressions, the features being based on morphological and lexicographical analysis of the plurality of different natural language expressions;

executing, by the server, a pattern mining algorithm, the pattern mining algorithm being a Charm Bitset algorithm, configured to determine one or more feature patterns associated with the features of the machine-executable instruction, the one or more feature patterns being indicative of an occurrence of features of the machine-executable instruction that corresponds to the plurality of different natural language expressions of the user-generated command;

storing, by the server, the one or more feature patterns associated with the machine-executable instruction in a feature pattern database;

in an in-use phase:

receiving, from a client device, an in-use user-generated input command;

generating features for the in-use user-generated input command, the features being based on morphological and lexicographical analysis of the in in-use user-generated input command;

using the one or more feature patterns stored in the feature pattern database to determine, which machine-executable instruction, the in in-use user-generated input command corresponds to, in order to convert the in-use user-generated input command into a machine-executable output instruction;

transmitting, by the server, the machine-executable output instruction to the client device to execute the in-use user-generated input command.

2. The method of claim 1 , wherein said generating comprises:

obtaining, by the server, an occurrence count for each of the plurality of features; and

analyzing, by the server, the plurality of features after discarding therefrom, a low occurrence feature of the plurality of features, the low occurrence feature having an occurrence count being smaller than a threshold occurrence count.

3. The method of claim 1 , wherein said generating the features for each one of the plurality of example expressions comprises:

generating, by the server, the plurality of features based on a predetermined rule.

4. The method of claim 1 , wherein said generating the plurality of features for each one of the plurality of example expressions comprises:

generating the plurality of features based on a statistical model, wherein the statistical model is on of:

a Hidden Markov Model; and

conditional random field model.

5. The method of claim 1 , further comprising:

generating, by the server, an additional example expression for the machine-executable instruction; and

including the generated additional example expression in the plurality of example expressions for the machine-executable instruction.

6. The method of claim 5 , further comprising, before including the generated additional example expression in the plurality of example expressions:

presenting, by the server, the generated additional example expression to a training administrator; and

responsive to said presenting, receiving, by the server, from the training administrator, a validation for the generated additional example expression, the validation being indicative of a validity of the generated additional example expression.

7. The method of claim 6 , wherein said including the generated additional example expression in the plurality of example expressions is further responsive to:

the validation being indicative of the generated additional example expression being a valid expression.

8. The method of claim 6 , wherein said including the generated additional example expression in the plurality of example expressions comprises:

associating, by the server, on received for the generated additional example expression with the generated additional example expression.

9. The method of claim 5 , wherein said generating of the additional example expression comprises:

accessing, by the server, an external resource communicatively coupled with the computing apparatus.

10. The method of claim 9 , wherein the server is further coupled to a crawling application, and wherein the method comprises:

crawling the network resource to obtain information for generating the additional example expression.

11. The method of claim 1 , wherein the feature associated with one of the plurality of expressions is indicative of one of:

a grammar element;

a root of a word related to the example expression;

a normalized form of the word;

a punctuation element;

a word separator; and

a command.