1460893792-ea9d7511-35f1-4464-9069-07d93abc728c

1. A computer implemented method, comprising:
identifying, from at least one database, edits from a plurality of users, wherein each of the edits identifies one of a plurality of pre-edit phrases and an associated one of a plurality of post-edit phrases and each of a plurality of the edits is based on a user implemented change of the one of the pre-edit phrases to the one of the post-edit phrases in one of a plurality of mature documents;
determining an edit rule pre-edit phrase based on a set of one or more of the pre-edit phrases identified by the edits;
determining one or more edit rule post-edit phrases based on one or more of the post-edit phrases associated with the set of the one or more pre-edit phrases;
defining an edit rule that associates the edit rule pre-edit phrase with the edit rule post-edit phrases; and
storing the edit rule for automatically determining, for a future phrase conforming to the edit rule pre-edit phrase, a rephrasing of the future phrase based on at least one of the edit rule post-edit phrases.
2. The method of claim 1, wherein at least one document of the mature documents is identified as mature based on at least one of:
a creation time of the document;
an amount of time since the document was last modified; and
a user associated with the document.
3. The method of claim 2, wherein the document is identified as mature if the user is not the creator of the document.
4. The method of claim 1, further comprising:
determining a given edit of the edits and storing the given edit in the database.
5. The method of claim 4, wherein the given edit is from a given document of the mature documents and further comprising:
determining the given document is mature;
wherein determining the given edit is based on determining the given document is mature.
6. The method of claim 5, wherein determining the given document is mature is based on at least one of:
a creation time of the document;
an amount of time since the document was last modified; and
a user associated with the document.
7. The method of claim 1, further comprising:
determining the set of the one or more of the pre-edit phrases based on at least one characteristic associated with each of the pre-edit phrases of the set.
8. The method of claim 7, wherein the characteristic indicates a purpose for the mature documents on which the pre-edit phrases of the set are based.
9. The method of claim 7, wherein the characteristic is indicative of one or more attributes of users associated with the documents on which the pre-edit phrases of the set are based.
10. The method of claim 1, wherein determining the one or more edit rule post-edit phrases comprises:
identifying a first post-edit phrase of the post-edit phrases associated with the set of one or more pre-edit phrases;
determining a first count of associations of the first post-edit phrase with the one or more pre-edit phrases of the set; and
based on the first count of associations satisfying a threshold, determining at least one of the edit rule post-edit phrases based on the first post-edit phrase.
11. The method of claim 10, further comprising:
identifying a second post-edit phrase of the post-edit phrases associated with the set of one or more pre-edit phrases; and
determining a second count of associations of the second post-edit phrase with the one or more pre-edit phrases of the set;
wherein the threshold is based on the second count of associations.
12. The method of claim 1, further comprising:
identifying a first post-edit phrase and a second post-edit phrase of the post-edit phrases associated with the set of one or more pre-edit phrases;
determining a first edit rule post-edit phrase of the edit rule post-edit phrases based on the first post-edit phrase; and
determining a second edit rule post-edit phrase of the edit rule post-edit phrases based on the second post-edit phrase.
13. The method of claim 12, further comprising:
determining a first count of associations of the first post-edit phrase with the one or more pre-edit phrases of the set; and
determining a second count of associations of the second post-edit phrase with the one or more pre-edit phrases of the set;
wherein defining the edit rule comprises:
defining a first association of the edit rule pre-edit phrase with the first edit rule post-edit phrase and assigning a first weight to the first association, the first weight determined based on the first count of associations; and
defining a second association of the edit rule pre-edit phrase with the second edit rule post-edit phrase and assigning a second weight to the second association, the second weight determined based on the second count of associations.
14. The method of claim 1, further comprising:
identifying a first post-edit phrase associated with the set of one or more pre-edit phrases;
determining a first edit rule post-edit phrase of the edit rule post-edit phrases based on the first post-edit phrase; and
wherein defining the first edit rule comprises:
defining an association of the edit rule pre-edit phrase with the first edit rule post-edit phrase and assigning a weight to the association, the weight determined based on one or more edit experience measures of one or more of the users that implemented change of the pre-edit phrases of the set to the first post-edit phrase.
15. The method of claim 14, wherein a given edit experience measure of a given user of the users is based on one of: quality of previous edits of the given user and number of other edits performed by the given user.
16. The method of claim 1, wherein the edit rule pre-edit phrase includes one or more category identifiers, each of the category identifiers indicating one of: a part of speech, a category of entities, and a set of terms.
17. The method of claim 1, wherein at least one of the edit rule post-edit phrases includes one or more category identifiers, each of the category identifiers indicating one of: a part of speech, a category of entities, and a set of terms.
18. The method of claim 17, further comprising:
determining the category identifiers based on identifying members associated with the category identifiers in a plurality of the post-edit phrases associated with the set of the one or more pre-edit phrases.
19. The method of claim 1, further comprising:
identifying a current document;
identifying a phrase in the current document;
determining the phrase conforms to the edit rule pre-edit phrase; and
providing a candidate rephrasing of the phrase based on an edit rule post-edit phrase of the edit rule post-edit phrases.
20. The method of claim 19, further comprising:
identifying a selection of the candidate rephrasing to replace the phrase in the current document; and
adjusting, based on the selection, a weight associated with the edit rule post-edit phrase for the edit rule.
21. The method of claim 19, wherein providing the candidate rephrasing is based on an attribute of the current document.
22. The method of claim 19, further comprising:
identifying an editor associated with the current document; and
wherein providing the candidate rephrasing is further based on an attribute of the editor.
23. A system, comprising:
memory storing instructions;
one or more processors operable to execute the instructions in the memory, wherein the instructions comprise instructions to:
identify, from at least one database, edits from a plurality of users, wherein each of the edits identifies one of a plurality of pre-edit phrases and an associated one of a plurality of post-edit phrases and each of a plurality of the edits is based on a user implemented change of the one of the pre-edit phrases to the one of the post-edit phrases in one of a plurality of mature documents;
determine an edit rule pre-edit phrase based on a set of one or more of the pre-edit phrases identified by the edits;
determine one or more edit rule post-edit phrases based on one or more of the post-edit phrases associated with the set of the one or more pre-edit phrases;
define an edit rule that associates the edit rule pre-edit phrase with the edit rule post-edit phrases; and
store the edit rule for automatically determining, for a future phrase conforming to the edit rule pre-edit phrase, a rephrasing of the future phrase based on at least one of the edit rule post-edit phrases.
24. A non-transitory computer readable storage medium storing at least one program configured for execution by at least one processor of a computer system, the at least one program comprising instructions to:
identify, from at least one database, edits from a plurality of users, wherein each of the edits identifies one of a plurality of pre-edit phrases and an associated one of a plurality of post-edit phrases and each of a plurality of the edits is based on a user implemented change of the one of the pre-edit phrases to the one of the post-edit phrases in one of a plurality of mature documents;
determine an edit rule pre-edit phrase based on a set of one or more of the pre-edit phrases identified by the edits;
determine one or more edit rule post-edit phrases based on one or more of the post-edit phrases associated with the set of the one or more pre-edit phrases;
define an edit rule that associates the edit rule pre-edit phrase with the edit rule post-edit phrases; and
store the edit rule for automatically determining, for a future phrase conforming to the edit rule pre-edit phrase, a rephrasing of the future phrase based on at least one of the edit rule post-edit phrases.

The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.

What is claimed is:

1. An energy food product comprising:
(a) a base energy food matrix; and
(b) a plurality of inclusions dispersed within or on said base energy food matrix, wherein said inclusions contain at least one physiologically functional ingredient.
2. The energy food product according to claim 1, wherein said inclusions contribute at least about 5% by weight of the total weight of the physiologically functional ingredient in said energy food product.
3. The energy food product according to claim 1, wherein said inclusions contribute at least about 50% by weight of the total weight of the physiologically functional ingredient in said energy food product.
4. The energy food product according to claim 1, wherein said physiologically functional ingredient is selected from the group consisting of vitamins, minerals, fiber, antioxidants, herbal supplements, polyphenols, and mixtures thereof.
5. The energy food product according to claim 1, wherein said base energy food matrix is comprised of a binder and a food component.
6. The energy food product according to claim 5, wherein said binder is selected from the group consisting of sugar syrup, corn syrup, fat, a gum solution, water and mixtures thereof.
7. The energy food product according to claim 5, wherein said food component is selected from the group consisting of protein, starch, cocoa powder and mixtures thereof.
8. The energy food product according to claim 1, wherein at least about 25% by weight of said base energy food matrix is fat, protein, or carbohydrate.
9. The energy food product according to claim 1, wherein said inclusions have an average particle size of from about 1 mm to about 13 mm.
10. The energy food product according to claim 1, wherein said inclusions are selected from the group consisting of fat-based inclusions, carbohydrate-based inclusions, protein based inclusions, and mixtures thereof.
11. The energy food product according to claim 10, wherein said carbohydrate-based inclusions are selected from the group consisting of panned inclusions, extruded gel pieces, friable carbohydrate pieces, extruded grain flour pieces, sugar bits and mixtures thereof.
12. The energy food product according to claim 1, wherein said inclusions are coated with a sugar syrup, hard fat, starch solution or gum solution.
13. The energy food product according to claim 1, wherein said inclusions are present in an amount that is less than about 50% by mass of said base energy food matrix.
14. The energy food product according to claim 1, wherein said inclusions are present in an amount that is about 5% to about 50% by mass of said base energy food matrix.
15. The energy food product according to claim 1, wherein said inclusions are dispersed within said base energy food matrix.
16. The energy food product according to claim 1, wherein said inclusions are on a surface of said base energy food matrix.
17. The energy food product according to claim 1, wherein said inclusions are agglomerates, capsules, compilations of ingredients, chunks, bits, drops, strands, or strings.
18. The energy food product according to claim 1, further comprising an edible coating on at least one surface of said base energy food matrix.
19. The energy food product according to claim 1, wherein said food product takes the form of a box, square, cylinder, string, sphere, triangle, or pie.
20. A method for making an energy food product, comprising the steps of (a) providing a base energy food matrix, and (b) dispersing a plurality of inclusions within or on said base energy food matrix, wherein said inclusions contain at least one physiologically functional ingredient.