1. A method for performing probabilistic operations with trained tree transducers, the method comprising: through execution of instructions stored in memory, obtaining tree transducer information including input/output pair information and transducer information; through execution of instructions stored in memory, converting said input/output pair information and said transducer information into a set of values in a weighted tree grammar; and through execution of instructions stored in memory, using said weighted tree grammar to solve a problem that requires information from the input/output pair information and transducer information.
1. A method for performing probabilistic operations with trained tree transducers, the method comprising: through execution of instructions stored in memory, obtaining tree transducer information including input/output pair information and transducer information; through execution of instructions stored in memory, converting said input/output pair information and said transducer information into a set of values in a weighted tree grammar; and through execution of instructions stored in memory, using said weighted tree grammar to solve a problem that requires information from the input/output pair information and transducer information. 3. A method as in claim 1 , wherein said tree transducer information includes an input tree and an output string as said input/output pair.