8. A computer implemented method for identifying word-senses, the method comprising: identifying, using the computer, a frequency of occurrence value of a received word from each of a plurality of domain tables, wherein each of the plurality of domain tables comprises a frequency of occurrence value corresponding to the received word, a word-sense corresponding to the received word, and temporal properties corresponding to the received word, wherein the frequency of occurrence value is determined using an n-gram viewer; associating, using the computer, the received word with a domain table from the plurality of domain tables based on the frequency of occurrence value corresponding to the received word meeting a threshold value; and identifying, using the computer, a word-sense of the received word based on the corresponding word-sense from the associated domain table.
8. A computer implemented method for identifying word-senses, the method comprising: identifying, using the computer, a frequency of occurrence value of a received word from each of a plurality of domain tables, wherein each of the plurality of domain tables comprises a frequency of occurrence value corresponding to the received word, a word-sense corresponding to the received word, and temporal properties corresponding to the received word, wherein the frequency of occurrence value is determined using an n-gram viewer; associating, using the computer, the received word with a domain table from the plurality of domain tables based on the frequency of occurrence value corresponding to the received word meeting a threshold value; and identifying, using the computer, a word-sense of the received word based on the corresponding word-sense from the associated domain table. 12. The method of claim 8 , wherein the threshold value is further determined by one or more of: receiving a set of instructions from a user; and receiving metadata associated with the received word.