#Recipe Parser Package contains helper functions to create parsers to extract data from the recipes, and join the Eaterator pipeline from scraping -> text files (JSON) -> recipe parsing (here) -> insert to models/DB. The current approach uses NLTK and its POS tagging and sentence chunking to detect amounts (CD for numerical values- including word forms), and compound nounds (* or ) types to detech ingredients. Some more logic is required to detech the that represents the measurement amount associated with the value. Also, special consideration may also be required for the case where the for measurement amount does not exist (i.e. '3 lemons').

##Requirements NLTK and Python (version 3.5.2).

##Sources A Ruby recipe parser is available here for inspiration:

https://github.com/iancanderson/ingreedy/blob/master/lib/ingreedy/dictionaries/en.yml