The string type of the token is inconvenient to be used by models, which take numerical inputs. Now let us build a dictionary, often called vocabulary as well, to map string tokens into numerical...

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The string type of the token is inconvenient to be used by models, which take numerical inputs.<br>Now let us build a dictionary, often called vocabulary as well, to map string tokens into numerical<br>indices starting from 0. To do so, we first count the unique tokens in all the documents from the<br>training set, namely a corpus, and then assign a numerical index to each unique token according to<br>its frequency. Rarely appeared tokens are often removed to reduce the complexity. Any token that<br>does not exist in the corpus or has been removed is mapped into a special unknown token

". We optionally add a list of reserved tokens, such as “" for padding, "" to present the beginning for a sequence, and “" for the end of a sequence. "/>
Extracted text: The string type of the token is inconvenient to be used by models, which take numerical inputs. Now let us build a dictionary, often called vocabulary as well, to map string tokens into numerical indices starting from 0. To do so, we first count the unique tokens in all the documents from the training set, namely a corpus, and then assign a numerical index to each unique token according to its frequency. Rarely appeared tokens are often removed to reduce the complexity. Any token that does not exist in the corpus or has been removed is mapped into a special unknown token "". We optionally add a list of reserved tokens, such as “" for padding, "" to present the beginning for a sequence, and “" for the end of a sequence.

Jun 11, 2022

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The string type of the token is inconvenient to be used by models, which take numerical inputs. Now let us build a dictionary, often called vocabulary as well, to map string tokens into numerical...

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