Apparatus and method for model adaptation for spoken language understanding

摘要

An apparatus and a method are provided for building a spoken language understanding model. Labeled data may be obtained for a target application. A new classification model may be formed for use with the target application by using the labeled data for adaptation of an existing classification model. In some implementations, the existing classification model may be used to determine the most informative examples to label.

主权项

1. A method comprising:
receiving a first language model for a first domain having a first training set, wherein the first language model is used in a spoken dialog application; identifying a second language model for a second domain, wherein the second language model is smaller than the first language model; selectively sampling training data from the second language model, to yield selectively sampled training data; concatenating, via a processor, the first language model by replacing a portion of the first training set in the first language model with the selectively sampled training data, to yield a concatenated first language model; replacing the first language model with the concatenated first language model for use in the spoken dialog application; and receiving audible speech from a user via the spoken dialog application; and converting, via the spoken dialog application, the audible speech into text via the concatenated first language model.