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Comparing English word pronunciation complexity


How to determine if character sequence is English word or noiseSimilarity between two wordsNon-brute force approach to finding permissible English word anagramsHow to determine the complexity of an English sentence?Text comparison using word embeddingsHow word embedding work for word similarity?How to initialize word-embeddings for Out of Vocabulary Word?Build a relevancy scoring model of articles using NLPIdentifying parts of speech for individual words (not texts)Discarding rare words when comparing texts - per text, per comparison, or per codex?













0












$begingroup$


I'm trying to figure out a way to compute a score for the pronunciation of a given english word, so I can use that score to compare the pronunciation complexity between english words.



Please share your thoughts.
Thanks.






nlp text-mining algorithms







share|improve this question











$endgroup$
















    0












    $begingroup$


    I'm trying to figure out a way to compute a score for the pronunciation of a given english word, so I can use that score to compare the pronunciation complexity between english words.



    Please share your thoughts.
    Thanks.






    nlp text-mining algorithms







    share|improve this question











    $endgroup$














      0












      0








      0





      $begingroup$


      I'm trying to figure out a way to compute a score for the pronunciation of a given english word, so I can use that score to compare the pronunciation complexity between english words.



      Please share your thoughts.
      Thanks.






      nlp text-mining algorithms







      share|improve this question











      $endgroup$




      I'm trying to figure out a way to compute a score for the pronunciation of a given english word, so I can use that score to compare the pronunciation complexity between english words.



      Please share your thoughts.
      Thanks.






      nlp text-mining algorithms




      nlp text-mining algorithms






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited 18 hours ago







      tharindu_DG

















      asked yesterday









      tharindu_DGtharindu_DG

      18518




      18518




















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          $begingroup$

          I think first you need to define "pronunciation complexity." Is it a measure of the amount of time it takes the average L2 learner to correctly pronounce the word? Or, a measure of the diversity of phonemes in the word. Operationalizing your variable will help immensely in clearing up your goal.



          Suppose you want to measure complexity by the diversity of phonemes in the word. You could then find a dataset of phonemes for each English (or other language) word. Then you could do something like, calculate the entropy of each phoneme set per word. Or maybe the Shannon diversity (although this might not perform well for sets with very low specie occurrences). You could also vectorize each word and perform some measure of similarity between words.



          Of course, this is all hypothetical. Once you update your question with a clear goal in mind it will be easier to help you more concretely!






          share|improve this answer









          $endgroup$












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            $begingroup$

            I think first you need to define "pronunciation complexity." Is it a measure of the amount of time it takes the average L2 learner to correctly pronounce the word? Or, a measure of the diversity of phonemes in the word. Operationalizing your variable will help immensely in clearing up your goal.



            Suppose you want to measure complexity by the diversity of phonemes in the word. You could then find a dataset of phonemes for each English (or other language) word. Then you could do something like, calculate the entropy of each phoneme set per word. Or maybe the Shannon diversity (although this might not perform well for sets with very low specie occurrences). You could also vectorize each word and perform some measure of similarity between words.



            Of course, this is all hypothetical. Once you update your question with a clear goal in mind it will be easier to help you more concretely!






            share|improve this answer









            $endgroup$

















              0












              $begingroup$

              I think first you need to define "pronunciation complexity." Is it a measure of the amount of time it takes the average L2 learner to correctly pronounce the word? Or, a measure of the diversity of phonemes in the word. Operationalizing your variable will help immensely in clearing up your goal.



              Suppose you want to measure complexity by the diversity of phonemes in the word. You could then find a dataset of phonemes for each English (or other language) word. Then you could do something like, calculate the entropy of each phoneme set per word. Or maybe the Shannon diversity (although this might not perform well for sets with very low specie occurrences). You could also vectorize each word and perform some measure of similarity between words.



              Of course, this is all hypothetical. Once you update your question with a clear goal in mind it will be easier to help you more concretely!






              share|improve this answer









              $endgroup$















                0












                0








                0





                $begingroup$

                I think first you need to define "pronunciation complexity." Is it a measure of the amount of time it takes the average L2 learner to correctly pronounce the word? Or, a measure of the diversity of phonemes in the word. Operationalizing your variable will help immensely in clearing up your goal.



                Suppose you want to measure complexity by the diversity of phonemes in the word. You could then find a dataset of phonemes for each English (or other language) word. Then you could do something like, calculate the entropy of each phoneme set per word. Or maybe the Shannon diversity (although this might not perform well for sets with very low specie occurrences). You could also vectorize each word and perform some measure of similarity between words.



                Of course, this is all hypothetical. Once you update your question with a clear goal in mind it will be easier to help you more concretely!






                share|improve this answer









                $endgroup$



                I think first you need to define "pronunciation complexity." Is it a measure of the amount of time it takes the average L2 learner to correctly pronounce the word? Or, a measure of the diversity of phonemes in the word. Operationalizing your variable will help immensely in clearing up your goal.



                Suppose you want to measure complexity by the diversity of phonemes in the word. You could then find a dataset of phonemes for each English (or other language) word. Then you could do something like, calculate the entropy of each phoneme set per word. Or maybe the Shannon diversity (although this might not perform well for sets with very low specie occurrences). You could also vectorize each word and perform some measure of similarity between words.



                Of course, this is all hypothetical. Once you update your question with a clear goal in mind it will be easier to help you more concretely!







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered 11 hours ago









                Alex LAlex L

                17710




                17710



























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