Are European Union parallel multilingual texts ideal for machine learning of machine translation?

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Are European Union parallel multilingual texts - regulations, directives, especially the debates of European parliament - ideal for machine learning of machine translation, e.g. with neural networks? My guess is that they are ideal, but I have not seen they to be used in actual research papers. If not, then - why they can not be ideal?



I am specifically interested in the grammar induction as the by-product of the machine translation learning a la https://arxiv.org/abs/1805.10850 .






computational-linguistics translation machine-translation computer-science







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    up vote
    1
    down vote

    favorite












    Are European Union parallel multilingual texts - regulations, directives, especially the debates of European parliament - ideal for machine learning of machine translation, e.g. with neural networks? My guess is that they are ideal, but I have not seen they to be used in actual research papers. If not, then - why they can not be ideal?



    I am specifically interested in the grammar induction as the by-product of the machine translation learning a la https://arxiv.org/abs/1805.10850 .






    computational-linguistics translation machine-translation computer-science







    share|improve this question

























      up vote
      1
      down vote

      favorite









      up vote
      1
      down vote

      favorite











      Are European Union parallel multilingual texts - regulations, directives, especially the debates of European parliament - ideal for machine learning of machine translation, e.g. with neural networks? My guess is that they are ideal, but I have not seen they to be used in actual research papers. If not, then - why they can not be ideal?



      I am specifically interested in the grammar induction as the by-product of the machine translation learning a la https://arxiv.org/abs/1805.10850 .






      computational-linguistics translation machine-translation computer-science







      share|improve this question















      Are European Union parallel multilingual texts - regulations, directives, especially the debates of European parliament - ideal for machine learning of machine translation, e.g. with neural networks? My guess is that they are ideal, but I have not seen they to be used in actual research papers. If not, then - why they can not be ideal?



      I am specifically interested in the grammar induction as the by-product of the machine translation learning a la https://arxiv.org/abs/1805.10850 .






      computational-linguistics translation machine-translation computer-science




      computational-linguistics translation machine-translation computer-science






      share|improve this question















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      edited 16 mins ago

























      asked 2 hours ago









      TomR

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          Europarl is a classic corpus for research papers, used at the main conference - WMT - and by some of the top people in the field.



          enter image description here



          It would be useful for training a translation system specifically for European parliament domain.



          But Europarl, like any domain-specific corpus, is not ideal for training a production-strength open-domain machine translation system.



          How many times do the top queries like how r u or ai eu se te pego in the corpus? To say nothing of laham taz-ziemel or gradient descent.






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            Europarl is a classic corpus for research papers, used at the main conference - WMT - and by some of the top people in the field.



            enter image description here



            It would be useful for training a translation system specifically for European parliament domain.



            But Europarl, like any domain-specific corpus, is not ideal for training a production-strength open-domain machine translation system.



            How many times do the top queries like how r u or ai eu se te pego in the corpus? To say nothing of laham taz-ziemel or gradient descent.






            share|improve this answer
























              up vote
              2
              down vote













              Europarl is a classic corpus for research papers, used at the main conference - WMT - and by some of the top people in the field.



              enter image description here



              It would be useful for training a translation system specifically for European parliament domain.



              But Europarl, like any domain-specific corpus, is not ideal for training a production-strength open-domain machine translation system.



              How many times do the top queries like how r u or ai eu se te pego in the corpus? To say nothing of laham taz-ziemel or gradient descent.






              share|improve this answer






















                up vote
                2
                down vote










                up vote
                2
                down vote









                Europarl is a classic corpus for research papers, used at the main conference - WMT - and by some of the top people in the field.



                enter image description here



                It would be useful for training a translation system specifically for European parliament domain.



                But Europarl, like any domain-specific corpus, is not ideal for training a production-strength open-domain machine translation system.



                How many times do the top queries like how r u or ai eu se te pego in the corpus? To say nothing of laham taz-ziemel or gradient descent.






                share|improve this answer












                Europarl is a classic corpus for research papers, used at the main conference - WMT - and by some of the top people in the field.



                enter image description here



                It would be useful for training a translation system specifically for European parliament domain.



                But Europarl, like any domain-specific corpus, is not ideal for training a production-strength open-domain machine translation system.



                How many times do the top queries like how r u or ai eu se te pego in the corpus? To say nothing of laham taz-ziemel or gradient descent.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered 48 mins ago









                A. M. Bittlingmayer

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