Abstract: A hydraulic motor drive system is disclosed. The hydraulic motor drive system includes a pump, a flow control module fluidly coupled to a discharge of the pump via a first conduit, and a hydraulic motor fluidly coupled to the flow control module via a second conduit and a third conduit, and a controller operatively coupled to the flow control module. The controller is configured to operate the flow control module in a first mode, such that the flow control module blocks fluid communication between the pump and the hydraulic motor via the second conduit, and effects fluid communication between the pump and the hydraulic motor via the third conduit, and operate the flow control module in a second mode, such that the flow control module effects fluid communication between the pump and the hydraulic motor via the second conduit.

Abstract: Systems and methods for using automated translation and other statistical methods to convert a classifier in one language to another language are provided. In one embodiment of the invention, a method preferably includes marking target language examples of passages of text in order to obtain an initial classifier in the target language, re-classifying a plurality of target language examples in the initial classifier, and then questioning—i.e., determining the validity—of the marking used to obtain the initial classifier. Preferably, the questioning is based on the re-classifying. Then, preferably following the questioning, the method isolates a high-quality set of target examples based on the results of the questioning. Finally, the method uses the high-quality set of target examples to prepare a high-quality classifier in the target language.

Abstract: Systems and methods for using automated translation and other statistical methods to convert a classifier in one language to another language are provided. In one embodiment of the invention, a method preferably includes marking target language examples of passages of text in order to obtain an initial classifier in the target language, re-classifying a plurality of target language examples in the initial classifier, and then questioning—i.e., determining the validity—of the marking used to obtain the initial classifier. Preferably, the questioning is based on the re-classifying. Then, preferably following the questioning, the method isolates a high-quality set of target examples based on the results of the questioning. Finally, the method uses the high-quality set of target examples to prepare a high-quality classifier in the target language.