Heterogeneous data generic feature learning and multi-label learning method and system
A multi-label learning and feature learning technology, which is applied in the field of heterogeneous data category feature learning and multi-label learning methods and systems, can solve problems such as time-consuming, inefficient, staying, and losing interest in learning
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[0028] Some embodiments provided by the present application can automatically identify words that the user cannot read and / or understand according to the actual foreign language level of each user, highlight these words and automatically display the interpretation or read aloud. The system supports users to manually control the reading or customize the combined reading mode to read automatically, so as to facilitate users to understand foreign language reading materials. The system supports users to establish independent learning files, accurately quantify the learning process, reduce learning difficulty, and improve learning efficiency and interest.
[0029] To achieve the above object, the present invention provides the following technical solutions:
[0030] The learning system is composed of user application unit, system processing unit, database, voice input module, voice output module and other parts. The system structure diagram is attached figure 1 .
[0031] user a...
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