10. A system to provide response message completion, comprising: at least one network device, comprising: a memory to store parameters and instructions: a processor to execute instructions to: determine a response completion model (RCM) via a linear combination of a generic response language model (LM)and a stimulus model with a mixing parameter for a mixing model, the mixing parameter to be based, at least in part, on a topic probability, the topic probability to be assigned a value to be based, at least in part, on a likelihood that a candidate topic is to be associated with a received stimulus message; receive a stimulus message (SM); if an incomplete response message is to include at least one preceding word, determine at least one candidate next word for the incomplete response message to be based, at least in part, on the RCM, the SM, and the at least one preceding word, and to be based, at least in part, on estimated word frequencies in stimulus messages from a plurality of stimulus-response message pairs; select at least one word from the at least one determined candidate next word; include the selected at least one word within the incomplete response message; and generate a complete response message that is to be based, at least in part on the incomplete response message to include the selected at least one word.
10. A system to provide response message completion, comprising: at least one network device, comprising: a memory to store parameters and instructions: a processor to execute instructions to: determine a response completion model (RCM) via a linear combination of a generic response language model (LM)and a stimulus model with a mixing parameter for a mixing model, the mixing parameter to be based, at least in part, on a topic probability, the topic probability to be assigned a value to be based, at least in part, on a likelihood that a candidate topic is to be associated with a received stimulus message; receive a stimulus message (SM); if an incomplete response message is to include at least one preceding word, determine at least one candidate next word for the incomplete response message to be based, at least in part, on the RCM, the SM, and the at least one preceding word, and to be based, at least in part, on estimated word frequencies in stimulus messages from a plurality of stimulus-response message pairs; select at least one word from the at least one determined candidate next word; include the selected at least one word within the incomplete response message; and generate a complete response message that is to be based, at least in part on the incomplete response message to include the selected at least one word. 18. The system of claim 10 , wherein the processor is additionally to: determine a most likely topic probability to be based, at least in part, on the function t* =argmax t (topic=t|s), wherein t*is to correspond to a most likely topic, wherein t is to correspond to a candidate topic, and wherein s is to correspond to a received stimulus message.