11. Non-transitory computer readable media embodying executable instructions for controlling a computer for an automatic diet tracking method, comprising: receiving text from a user that describes a food that is to be tracked; parsing the received text into text segments; identifying automatically in each parsed text segment a food quantity value and a food quantity unit for said food that is to be tracked, said identifying comprising searching said parsed text segment for a quantity value followed directly by a quantity unit, and assigning said quantity value and said quantity unit to be said food quantity value and said food quantity unit for the food to be tracked, and upon not finding a quantity value followed directly by a quantity unit, selecting as said food quantity value and said food quantity unit a most frequently occurring quantity value and quantity unit for said food to be tracked; cleaning the parsed text segments to identify and remove words, connected spaces, and punctuation that are not used to identify food and produce parsed cleaned text; processing the parsed cleaned text segments using a text match algorithm to find said food that is to be tracked in each parsed cleaned text segment comprising ranking each food text match found using a ranking process, and selecting the food with a predetermined rank to be the food that is to be tracked; and reporting diet tracking information for said food to be tracked.
11. Non-transitory computer readable media embodying executable instructions for controlling a computer for an automatic diet tracking method, comprising: receiving text from a user that describes a food that is to be tracked; parsing the received text into text segments; identifying automatically in each parsed text segment a food quantity value and a food quantity unit for said food that is to be tracked, said identifying comprising searching said parsed text segment for a quantity value followed directly by a quantity unit, and assigning said quantity value and said quantity unit to be said food quantity value and said food quantity unit for the food to be tracked, and upon not finding a quantity value followed directly by a quantity unit, selecting as said food quantity value and said food quantity unit a most frequently occurring quantity value and quantity unit for said food to be tracked; cleaning the parsed text segments to identify and remove words, connected spaces, and punctuation that are not used to identify food and produce parsed cleaned text; processing the parsed cleaned text segments using a text match algorithm to find said food that is to be tracked in each parsed cleaned text segment comprising ranking each food text match found using a ranking process, and selecting the food with a predetermined rank to be the food that is to be tracked; and reporting diet tracking information for said food to be tracked. 12. The non-transitory computer readable media of claim 11 , wherein said parsing further comprises removing all quantity values and quantity units from said parsed text segments, and wherein said ranking said found food text matches comprises searching a past history of said user for previous matches, and selecting from said past history a most recent food tracked as said food to be tracked.