What is the difference between TextGAN and LM for text generation?












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I'm new to LeakGAN or SeqGAN or TextGAN. I know GAN is to generate text and let discriminator un-judge-able to real text and gen-text.



LM(language model) is the task of predicting the next word and can also be used to generate text.










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    0












    $begingroup$


    I'm new to LeakGAN or SeqGAN or TextGAN. I know GAN is to generate text and let discriminator un-judge-able to real text and gen-text.



    LM(language model) is the task of predicting the next word and can also be used to generate text.










    share|improve this question











    $endgroup$















      0












      0








      0





      $begingroup$


      I'm new to LeakGAN or SeqGAN or TextGAN. I know GAN is to generate text and let discriminator un-judge-able to real text and gen-text.



      LM(language model) is the task of predicting the next word and can also be used to generate text.










      share|improve this question











      $endgroup$




      I'm new to LeakGAN or SeqGAN or TextGAN. I know GAN is to generate text and let discriminator un-judge-able to real text and gen-text.



      LM(language model) is the task of predicting the next word and can also be used to generate text.







      neural-network deep-learning natural-language-process gan text-generation






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      share|improve this question













      share|improve this question




      share|improve this question








      edited 13 mins ago







      不是phd的phd

















      asked Mar 11 at 7:39









      不是phd的phd不是phd的phd

      1857




      1857






















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