Word2vec vs ARPA N-gram model











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












    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






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 22 at 8:28









      Sayantan

      110113




      110113





























          active

          oldest

          votes











          Your Answer






          StackExchange.ifUsing("editor", function () {
          StackExchange.using("externalEditor", function () {
          StackExchange.using("snippets", function () {
          StackExchange.snippets.init();
          });
          });
          }, "code-snippets");

          StackExchange.ready(function() {
          var channelOptions = {
          tags: "".split(" "),
          id: "1"
          };
          initTagRenderer("".split(" "), "".split(" "), channelOptions);

          StackExchange.using("externalEditor", function() {
          // Have to fire editor after snippets, if snippets enabled
          if (StackExchange.settings.snippets.snippetsEnabled) {
          StackExchange.using("snippets", function() {
          createEditor();
          });
          }
          else {
          createEditor();
          }
          });

          function createEditor() {
          StackExchange.prepareEditor({
          heartbeatType: 'answer',
          autoActivateHeartbeat: false,
          convertImagesToLinks: true,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: 10,
          bindNavPrevention: true,
          postfix: "",
          imageUploader: {
          brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
          contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
          allowUrls: true
          },
          onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          });


          }
          });














          draft saved

          draft discarded


















          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53426691%2fword2vec-vs-arpa-n-gram-model%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown






























          active

          oldest

          votes













          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes
















          draft saved

          draft discarded




















































          Thanks for contributing an answer to Stack Overflow!


          • Please be sure to answer the question. Provide details and share your research!

          But avoid



          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.


          To learn more, see our tips on writing great answers.





          Some of your past answers have not been well-received, and you're in danger of being blocked from answering.


          Please pay close attention to the following guidance:


          • Please be sure to answer the question. Provide details and share your research!

          But avoid



          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.


          To learn more, see our tips on writing great answers.




          draft saved


          draft discarded














          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53426691%2fword2vec-vs-arpa-n-gram-model%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown





















































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown

































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown







          Popular posts from this blog

          Berounka

          Sphinx de Gizeh

          Different font size/position of beamer's navigation symbols template's content depending on regular/plain...