Patent ID: 8660837
Filing Date: 2014-02-25
Classification: G10L

Abstract:
1. A language processor using a probabilistic model, comprising: a probability calculating section comprising the probabilistic model, the probability calculating section configured to determine a probability that a set of partial referring expression pairs represents at least one object, wherein the probability is determined by calculating a product of probabilities, wherein each individual probability of the probabilities is a probability that a partial referring expression pair represents one of the at least one object or a part of an object, each pair comprising an attribute value expression and a part expression modified by the attribute value expression, wherein each individual probability of the probabilities is obtained using a probability that the at least one object is chosen, a salience probability that represents the salience of a part of the at least one object, a probability representing relevance between the part of the at least one object and an attribute value, a probability that the part expression of a given pair is used for a part of the at least one object, and a probability that the attribute value expression of the given pair is used for an attribute value; at least one memory section configured to store salience probabilities of parts of the at least one object, probabilities representing relevance between the parts of the at least one object and attribute values, probabilities of using part expressions and values of probabilities of using attribute value expressions, wherein the probability calculating section is configured to calculate the probability that the set of partial referring expression pairs represents the at least one object using values of probabilities stored in the at least one memory section.