1. A method for transcribing a spoken communication, comprising: receiving a spoken first communication from a first sender to a first recipient; obtaining information relating to a second communication from a second sender to a second recipient, wherein the second communication was made before the spoken first communication and is different from the spoken first communication; using the obtained information to create a final language model by: obtaining a general language model; using the obtained information to create a specific language model; and creating the final language model using the general language model and the specific language model; and using the language model to transcribe the spoken first communication.
1. A method for transcribing a spoken communication, comprising: receiving a spoken first communication from a first sender to a first recipient; obtaining information relating to a second communication from a second sender to a second recipient, wherein the second communication was made before the spoken first communication and is different from the spoken first communication; using the obtained information to create a final language model by: obtaining a general language model; using the obtained information to create a specific language model; and creating the final language model using the general language model and the specific language model; and using the language model to transcribe the spoken first communication. 4. The method of claim 1 , wherein the second communication is selected from a plurality of communications based on a proximity of the second communication to the first communication in a communication graph.