Abstract:
The present invention discloses a data processing method and apparatus based on an automatic identification system, relates to the field of communications network technologies The method comprises: a virtual station container receives data request sent by a poller, and successively checks whether each virtual station in the virtual station container has to-be-sent data in a current timeslot, where the virtual station includes a virtual timeslot allocation logic TAL device; and when a first virtual station has to-be-sent data in the current timeslot, the virtual station container reads the data in the first virtual station, and sends the read data to a transmitter. The method provided by the embodiments of the present invention is applicable to data exchange between an automatic identification system and an external network.
Abstract:
The present invention discloses a data processing method and apparatus based on an automatic identification system, relates to the field of communications network technologies The method comprises: a virtual station container receives data request sent by a poller, and successively checks whether each virtual station in the virtual station container has to-be-sent data in a current timeslot, where the virtual station includes a virtual timeslot allocation logic TAL device; and when a first virtual station has to-be-sent data in the current timeslot, the virtual station container reads the data in the first virtual station, and sends the read data to a transmitter. The method provided by the embodiments of the present invention is applicable to data exchange between an automatic identification system and an external network.
Abstract:
The translation method includes: obtaining a to-be-translated sentence including a polysemous word expressed in a first language; determining a target semantic meaning of the polysemous word according to a disambiguation rule, where the disambiguation rule indicates to determine the target semantic meaning of the polysemous word by using a translation model, the translation model may perform data processing on a word vector sequence corresponding to the to-be-translated sentence to obtain the semantic meaning of the polysemous word in the to-be-translated sentence, the translation model is obtained by training a parallel training sentence pair, and both training sentences in the parallel training sentence pair are the first language; and determining a translation result of the to-be-translated text based on the target semantic meaning, where the translation result includes content whose target semantic meaning is expressed in a second language, and the first language is different from the second language.