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boosting_with_bert's Introduction

Boosting with BERT

tokenizer.py script can be used to train the vocabulary from the data that is going to be used to train BERT & HAN.

Here is a detailed description:

​ 1.frequent_bichar functions generates bigrams that maximizes the likelihood of occurence in the corpus.

​ 2. decode function uses the vocabulary which is generated by the frequent_bichar function in order to tokenize the word.

​ The script expects three user arguments:

        -complete path to the .txt file containing the data
        
        -maximum number of words that the dictionary should have.
        
        -minimum number of frequency that a bigram should have.

python tokenizer.py "sample.txt" 100 7

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