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