22. A method for text prediction comprising: at an electronic device: receiving a first text input, the first text input associated with a first input context; determining, using a language model and based on the first input context, a first weighted probability of a predicted text given the first text input; receiving a second text input, the second text input associated with a second input context, wherein the second text input is received after the first text input is received, wherein the first text input is identical to the second text input, and wherein the first input context is different from the second input context; and determining, using the language model and based on the second input context, a second weighted probability of the predicted text given the second text input, wherein the first weighted probability is different from the second weighted probability.
22. A method for text prediction comprising: at an electronic device: receiving a first text input, the first text input associated with a first input context; determining, using a language model and based on the first input context, a first weighted probability of a predicted text given the first text input; receiving a second text input, the second text input associated with a second input context, wherein the second text input is received after the first text input is received, wherein the first text input is identical to the second text input, and wherein the first input context is different from the second input context; and determining, using the language model and based on the second input context, a second weighted probability of the predicted text given the second text input, wherein the first weighted probability is different from the second weighted probability. 25. The method of claim 22 , wherein: the first text input is directed to a first recipient and the first input context includes the first recipient; the second text input is directed to a second recipient and the second input context includes the second recipient; and the first recipient is different from the second recipient.