Patent Document ID: 9380009
Application ID: 13547930

Base Claim:
1. A method for providing response message completion, comprising: determining a response completion model (RCM) using 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 being based, at least in part, on a topic probability, the topic probability to be assigned a value based, at least in part, on a likelihood that a candidate topic is associated with a received stimulus message; receiving a stimulus message (SM); if an incomplete response message includes at least one preceding word, determining at least one candidate next word for the incomplete response message based, at least in part, on the RCM, the SM, and the at least one preceding word and based, at least in part, on estimated word frequencies in stimulus messages from a plurality of stimulus-response message pairs; selecting at least one word from the at least one determined candidate next word; including the selected at least one word within the incomplete response message; and generating a complete response message that is based, at least in part, on the incomplete response message that includes the selected at least one word.

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Claim 4:
4. The method of claim 1 , wherein determining the RCM is based, at least in part, on a selection model and further comprises: determining an estimated overall frequency of one or more words in at least one stimulus message from a plurality of stimulus-response message pairs that are also included in corresponding response message from the plurality of stimulus-response message pairs, wherein the plurality of stimulus-response message pairs are included in received stimulus-response parameters; wherein the mixing parameter for the mixing model is additionally based, at least in part, on the estimated overall frequency of one or more words in the at least one stimulus message.