2 results about "Low resource" patented technology

The invention discloses a data enhancement method applied to neural machine translation. The method comprises the steps that word alignment processing is conducted on bilingual training linguistic data to obtain word alignment information; minimum translation units contained in the bilingual training linguistic data are determined according to the word alignment information; all the minimum translation units are calculated according to a preset vector representation calculation rule, and corresponding vector values are obtained; the similarity value between all the minimum translation units iscalculated through a cosine formula; whether the similarity value exceeds a threshold or not is judged, and if yes, the position of the minimum translation unit, corresponding to the similarity valueexceeding the threshold, in the bilingual training linguistic data is exchanged, and new bilingual training linguistic data is obtained. By means of the method, the new bilingual linguistic data canbe formed, and the training linguistic data can be effectively increased; the structure information of the original linguistic data is enriched, and the improvement of the low-resource language translation quality of neural machine translation is achieved. The invention further discloses a data enhancement system and device and a computer readable storage medium which have the above advantages.

The invention relates to a resource dynamic scheduling method for a server-free architecture of a power system. The method comprises the following steps of judging whether a resource can complete a task within a deadline required by a user or not, and judging whether an allocation budget price submitted by the task is not lower than a difference value between operation and maintenance cost duringresource operation and maintenance cost during idling if the resource can complete the task within the deadline required by the user; according to the auction values distributed to all tasks by the user, the auction values in the user set are ranked from high to low to obtain an auction table; sorting the basic offers proposed by the resources from low to high to obtain an offer table; taking thehighest user auction value in each unit time; taking out the lowest resource value; Judging whether the transaction is successful or not according to the highest user auction value and the lowest resource important value; and adjusting the auction value and the resource main value of the task, and continuously executing the above steps until the task is completely completed. According to the invention, the balance between the user-centered index and the resource provider-centered index can be achieved.