Generating Vocabulary

A vocabulary file is a raw text file that contains one word per line, followed by a tab separator and the word count. The total number of lines is equal to the size of the vocabulary and each token is mapped to its line number. We provide a helper script bin/tools/ that takes in a raw text file of space-delimited tokens and generates a vocabulary file:

./bin/tools/ < data.txt > vocab

Generating Character Vocabulary

Sometimes you want to run training on characters instead of words or subword units. Using the same script bin/tools/ with --delimiter "" can generate a vocabulary file that contains the unique set of characters found in the text:

./bin/tools/ --delimiter "" < data.txt > vocab

To run training on characters you must pass set source_delimiter and target_delimiter delimiter of the input pipeline to "". See the Training documentation for more details.

If you use the DumpBeams inference task (see Inference for more details) you can inspect the beam search data by loading the array using numpy, or generate beam search visualizations using the script. This required the networkx module to be installed.

python -m  \
  -o ${TMPDIR:-/tmp}/beam_visualizations \
  -d ${TMPDIR:-/tmp}/beams.npz \
  -v $HOME/nmt_data/toy_reverse//train/vocab.targets.txt

Beam Search Visualization