8. A system for rectifying a typographical error in a text file, the system comprising: a processor; and a memory coupled to the processor, wherein the processor is capable of executing a plurality of modules stored in the memory, and wherein the plurality of module comprising: a network generating module configured to generate a linguistic network of a plurality of words present in the text file, wherein each pair of words of the plurality of words in the linguistic network is interconnected via an edge; a computation module coupled to the network generating module, the computation module configured to compute similarity between the each pair of words based on a set of parameters associated with words of each pair, wherein the set of parameters comprises distance between the words, phonetic similarity between the words, consonant skeleton distance, presence of the words in lexicon, morphological root form of the words, frequency of the words in the text file, probability of occurrence of the words in the context, domain similarity of the words, and a flag associated to similar starting character of the words; a weight assignment module configured to assign a weight to the edge between the each pair of words based on the similarity computed from the set of parameters; a categorization module configured to categorize one or more words present in the linguistic network in a category, wherein the one or more words are categorized based on the weight assigned to each edge connecting the each pair of words of the one or more words; a word identification module configured to identify a reference word for each word which is deemed to have the typographical error from the category; and a word substitution module configured to substitute each word of the category, having the typographical error, with the corresponding reference word in the text file for rectifying the typographical error.
8. A system for rectifying a typographical error in a text file, the system comprising: a processor; and a memory coupled to the processor, wherein the processor is capable of executing a plurality of modules stored in the memory, and wherein the plurality of module comprising: a network generating module configured to generate a linguistic network of a plurality of words present in the text file, wherein each pair of words of the plurality of words in the linguistic network is interconnected via an edge; a computation module coupled to the network generating module, the computation module configured to compute similarity between the each pair of words based on a set of parameters associated with words of each pair, wherein the set of parameters comprises distance between the words, phonetic similarity between the words, consonant skeleton distance, presence of the words in lexicon, morphological root form of the words, frequency of the words in the text file, probability of occurrence of the words in the context, domain similarity of the words, and a flag associated to similar starting character of the words; a weight assignment module configured to assign a weight to the edge between the each pair of words based on the similarity computed from the set of parameters; a categorization module configured to categorize one or more words present in the linguistic network in a category, wherein the one or more words are categorized based on the weight assigned to each edge connecting the each pair of words of the one or more words; a word identification module configured to identify a reference word for each word which is deemed to have the typographical error from the category; and a word substitution module configured to substitute each word of the category, having the typographical error, with the corresponding reference word in the text file for rectifying the typographical error. 9. The system of claim 8 , wherein the computation module is further configured to compute the distance by transforming a first word to a second word of the each pair of words by inserting, deleting, substituting, transpositioning characters present in the first word.