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memm's Introduction

MEMM

Maximum-entropy Markov model

author: Emily Hua
Goal: implement MEMM to predict BOI tags

Information about the program: some non-ASCII chars(mainly punctuations) may break the stemmer: replace them with ASCII punc.
It has two programs: MEMM_1.py and MEMM_2.py; 1 python pickle file: my_classifier.pickle; one evaluation program: conlleval.pl;
one training file: train.np; one development file: dev.np

Run MEMM_1.py takes LONG time as it starts with training the model
Run MEMM_2.py takes SHORTER time as it opens the pickle file and starts with testing.

The program will produce a text file called "boi_output.txt" as the program output

Running the program:

Option 1:

$ python MEMM_1.py  

Option 2:

$ python MEMM_2.py
Testing your program:

$ chmod +x conlleval.pl

$ perl conlleval.pl < boi_output.txt

References: dataset credits to Professor Adam Meyers from NYU

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memm's Issues

Termination step

Hi, could you explain why the termination step is needed instead of directly taking the argmax of the last column of the viterbi matrix to calculate the first maxPreviousTag? Sorry for this theoretical question, but I have recently started working with MEMMs and have not found much material.

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