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A Part of Speech Tagger for English built using LSTMs and trained on the Universal Dependencies dataset.

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Neural POS Tagger

Running the pos tagger is extremely simple for this case All one would need to do is run the following command

python pos_tagger.py

After that they will be prompted to give an input sentence, which will be tagged accordingly but the best trained model available for the purpose of this task as created for the assignment.

There are a few dependencies that need to be installed before running the code, which are as follows:

  • conllu (pip install conllu)
  • nltk (pip install nltk)
  • sklearn (pip install sklearn) -> this is for running the actual model
  • scipy (pip install scipy) -> this is for running the actual model

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A Part of Speech Tagger for English built using LSTMs and trained on the Universal Dependencies dataset.

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