Recovering word forms by context for~morphologically~rich~languages
    
    
  
  
  
      
      
      
        
Zapiski Nauchnykh Seminarov POMI, Investigations on applied mathematics and informatics. Part I, Tome 499 (2021), pp. 129-136
    
  
  
  
  
  
    
      
      
        
      
      
      
    Voir la notice de l'article provenant de la source Math-Net.Ru
            
              			In this work, we focus on “sentence-level unlemmatization”, the task of generating a grammatical sentence given a lemmatized one, which can usually be easily done by humans. We treat this setting as a machine translation problem and – as a first try – apply a sequence-to-sequence model to the texts of Russian Wikipedia articles, evaluate the effect of the different training sets sizes quantitatively and achieve the BLUE score of 67,3 using the largest training set available. We discuss preliminary results and flaws of traditional machine translation evaluation methods for this task and suggest directions for future research.
			
            
            
            
          
        
      @article{ZNSL_2021_499_a8,
     author = {A. M. Alekseev and S. I. Nikolenko},
     title = {Recovering word forms by context for~morphologically~rich~languages},
     journal = {Zapiski Nauchnykh Seminarov POMI},
     pages = {129--136},
     publisher = {mathdoc},
     volume = {499},
     year = {2021},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/ZNSL_2021_499_a8/}
}
                      
                      
                    TY - JOUR AU - A. M. Alekseev AU - S. I. Nikolenko TI - Recovering word forms by context for~morphologically~rich~languages JO - Zapiski Nauchnykh Seminarov POMI PY - 2021 SP - 129 EP - 136 VL - 499 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/ZNSL_2021_499_a8/ LA - en ID - ZNSL_2021_499_a8 ER -
A. M. Alekseev; S. I. Nikolenko. Recovering word forms by context for~morphologically~rich~languages. Zapiski Nauchnykh Seminarov POMI, Investigations on applied mathematics and informatics. Part I, Tome 499 (2021), pp. 129-136. http://geodesic.mathdoc.fr/item/ZNSL_2021_499_a8/