What simple machine learning algorithm to use in POS tagging [closed]2019 Community Moderator ElectionNew to ML and NLP. Is topic/subject extraction a good place to start?What algorithm to use for extracting information from bank statementspython - What is the format of the WAV file for a Text to Speech Neural Network?How to approach speech analysis?How can I find contextually related words and classify into custom tags/labels?Machine learning algorithm for syllable stressIdentifying parts of speech for individual words (not texts)Is machine learning a viable tool to map accent from speech onto text/syllables?What machine learning algorithms to use for unsupervised POS tagging?Cant get LSTM model to give required predictions

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What simple machine learning algorithm to use in POS tagging [closed]



2019 Community Moderator ElectionNew to ML and NLP. Is topic/subject extraction a good place to start?What algorithm to use for extracting information from bank statementspython - What is the format of the WAV file for a Text to Speech Neural Network?How to approach speech analysis?How can I find contextually related words and classify into custom tags/labels?Machine learning algorithm for syllable stressIdentifying parts of speech for individual words (not texts)Is machine learning a viable tool to map accent from speech onto text/syllables?What machine learning algorithms to use for unsupervised POS tagging?Cant get LSTM model to give required predictions










1












$begingroup$


I am new to NLP. I have a dataset that has already a parts of speech included, the only problem is what algorithm to use in order to train my dataset. Sample:



"word1": "POS",
"word2": "POS",
"word3": "POS",
"word4": "POS"


Ambiguity is not a problem in this case.
If I input a word, it should tell what POS it is, but if the word is unknown, the POS will also be unknown.






machine-learning python nlp







share|improve this question











$endgroup$



closed as unclear what you're asking by Siong Thye Goh, Mark.F, Ethan, Kiritee Gak, Dawny33♦ Mar 28 at 16:05


Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.






















    1












    $begingroup$


    I am new to NLP. I have a dataset that has already a parts of speech included, the only problem is what algorithm to use in order to train my dataset. Sample:



    "word1": "POS",
    "word2": "POS",
    "word3": "POS",
    "word4": "POS"


    Ambiguity is not a problem in this case.
    If I input a word, it should tell what POS it is, but if the word is unknown, the POS will also be unknown.






    machine-learning python nlp







    share|improve this question











    $endgroup$



    closed as unclear what you're asking by Siong Thye Goh, Mark.F, Ethan, Kiritee Gak, Dawny33♦ Mar 28 at 16:05


    Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.




















      1












      1








      1





      $begingroup$


      I am new to NLP. I have a dataset that has already a parts of speech included, the only problem is what algorithm to use in order to train my dataset. Sample:



      "word1": "POS",
      "word2": "POS",
      "word3": "POS",
      "word4": "POS"


      Ambiguity is not a problem in this case.
      If I input a word, it should tell what POS it is, but if the word is unknown, the POS will also be unknown.






      machine-learning python nlp







      share|improve this question











      $endgroup$




      I am new to NLP. I have a dataset that has already a parts of speech included, the only problem is what algorithm to use in order to train my dataset. Sample:



      "word1": "POS",
      "word2": "POS",
      "word3": "POS",
      "word4": "POS"


      Ambiguity is not a problem in this case.
      If I input a word, it should tell what POS it is, but if the word is unknown, the POS will also be unknown.






      machine-learning python nlp




      machine-learning python nlp






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Mar 26 at 12:42









      Glorfindel

      1511210




      1511210










      asked Mar 26 at 11:59









      Mcrey FonacierMcrey Fonacier

      62




      62




      closed as unclear what you're asking by Siong Thye Goh, Mark.F, Ethan, Kiritee Gak, Dawny33♦ Mar 28 at 16:05


      Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.









      closed as unclear what you're asking by Siong Thye Goh, Mark.F, Ethan, Kiritee Gak, Dawny33♦ Mar 28 at 16:05


      Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.






















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