Glossary

We’ve collected some definitions of common natural language processing and machine language acronyms and terminology here.^[1]

¹

Bill Wilson at the university of New South Wales in Australia has a more complete NLP dictionary (www.cse.unsw.edu.au/~billw/nlpdict.html).

You can find some of the parsers and regular expressions we used to help generate this list in the nlpia Python package at github.com/totalgood/nlpia (https://github.com/totalgood/nlpia).^[2] This listing shows how we used nlpia to draft this glossary:

²

nlpia.translators (https://github.com/totalgood/nlpia/blob/master/src/nlpia/translators.py) and nlpia.book_parser (https://github.com/totalgood/nlpia/blob/master/src/nlpia/book_parser.py).

>>> from nlpia.book_parser import write_glossary
>>> from nlpia.constants import DATA_PATH
>>> print(write_glossary(
...     os.path.join(DATA_PATH, 'book')))          1
== Acronyms
 
[acronyms,template="glossary",id="terms"]
*AGI*:: Artificial general intelligence --
*AI*:: Artificial intelligence --
*AIML*:: Artificial Intelligence Markup Language --
*ANN*:: Approximate nearest neighbors --
...

• 1 YMMV because we can’t provide the entire manuscript in your data folder.

We didn’t complete the definition generator, but that might be possible with a good LSTM language model (see chapter 10). We leave that to you.