Word2vec vs ARPA N-gram model











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I would like to understand the difference between ARPA models (eg in SRILM) vs word2vec model (which is a predictive model).



I have been working on Kaldi off late and I understand the concept of ARPA in that context. Now, I believe word2vec is a skip-gram model. However, the same can also be applied to ARPA models as well. In that context, is ARPA model a variety of word2vec?



Although this is a little broad-based question, however, neither existing SO nor google gives a clarity on the subject.










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    up vote
    0
    down vote

    favorite












    I would like to understand the difference between ARPA models (eg in SRILM) vs word2vec model (which is a predictive model).



    I have been working on Kaldi off late and I understand the concept of ARPA in that context. Now, I believe word2vec is a skip-gram model. However, the same can also be applied to ARPA models as well. In that context, is ARPA model a variety of word2vec?



    Although this is a little broad-based question, however, neither existing SO nor google gives a clarity on the subject.










    share|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I would like to understand the difference between ARPA models (eg in SRILM) vs word2vec model (which is a predictive model).



      I have been working on Kaldi off late and I understand the concept of ARPA in that context. Now, I believe word2vec is a skip-gram model. However, the same can also be applied to ARPA models as well. In that context, is ARPA model a variety of word2vec?



      Although this is a little broad-based question, however, neither existing SO nor google gives a clarity on the subject.










      share|improve this question













      I would like to understand the difference between ARPA models (eg in SRILM) vs word2vec model (which is a predictive model).



      I have been working on Kaldi off late and I understand the concept of ARPA in that context. Now, I believe word2vec is a skip-gram model. However, the same can also be applied to ARPA models as well. In that context, is ARPA model a variety of word2vec?



      Although this is a little broad-based question, however, neither existing SO nor google gives a clarity on the subject.







      word2vec n-gram






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      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 22 at 8:28









      Sayantan

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