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Hello! I am using redshift for the first time, and I am unable to find any documentation regarding the functionalities of the libraries. Can you please tell me where I can start with redshift?
Also, can you tell me what /tmp/stanford_beam8 is?
The text was updated successfully, but these errors were encountered:
Hi Angefonce. You have to train the parser before you can use it. The process for doing so is explained in the README.
The author probably stored the output of train.py in /tmp/stanford_beam8 before running his code. My guess regarding the naming convention is as follows: beam8 refers to the beam width used when training the model; Stanford refers to the training data, which may have been obtained by applying the Stanford Parser to a plain text corpus of some sort.
Edit: this blog post describes how the model is trained.
Hello! I am using redshift for the first time, and I am unable to find any documentation regarding the functionalities of the libraries. Can you please tell me where I can start with redshift?
Also, can you tell me what /tmp/stanford_beam8 is?
The text was updated successfully, but these errors were encountered: