Embodiments relate to a system, program product, and method for use with an intelligent computer platform to decipher analogical phrases. A phrase is parsed into a set of terms to reveal an analogical pattern. The set of terms are categorized according to syntactic placement and each term is placed into two or more categories according to word type patterns in the phrase to produce metadata. The metadata is matched to outcome metadata generated from a set of outcomes produced from data storage and a set of grammatical data is generated for each potential outcome. A statistical model is trained, whereby the training includes weighing and ranking each potential outcome according to degree of congruence with the syntactic placement and word type patterns of the phrase. A highest outcome is selected, the highest outcome being the potential outcome with the highest rank and a confidence level data metric is then applied.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer system comprising: a processing unit operatively coupled to memory; an artificial intelligence platform, in communication with the processing unit; a tool in communication with the processing unit to decipher a phrase upon activation by the artificial intelligence platform, including: parsing a phrase into a set of terms to reveal an analogical pattern; categorizing the set of terms according to syntactic placement and placing the terms into two or more categories according to word type patterns in the phrase to produce metadata; matching the metadata to outcome metadata generated from a set of outcomes produced from a data storage; generating a set of grammatical data for each potential outcome; training a statistical model including weighing and ranking each potential outcome according to degree of congruence with the syntactic placement and word type patterns of the phrase; and selecting a highest outcome, wherein the highest outcome is the potential outcome with the highest rank and applying a confidence level data metric to the highest outcome. 2. The computer system of claim 1, wherein deciphering a phrase upon activation further includes: ascertaining a low confidence level data metric attributed to the highest outcome; sending the highest outcome to a client machine, the client machine to be used to adjust the highest outcome and generate an adjusted outcome; and receiving the adjusted outcome and saving the adjusted outcome to the data storage. 3. The computer system of claim 1, further comprising the tool to: upon not finding evidence of a pattern associated with the set of outcomes in the ontological database, search a corpus for evidence of a pattern associated with the set of outcomes; and score each entry in the outcome set according to a weighted calculation from the corpus based on congruence with the pattern. 4. The computer system of claim 3, wherein application of the score to each entry in the outcome set further comprises application of a weight to each entry in the outcome set, wherein the weight is based on an incidence of direct and indirect matches in the corpus. 5. The computer system of claim 1, further comprising the tool to resolve a comparator, including employing evidence of the comparator in a corpus and incorporating the comparator evidence into the set of outcomes of generated idiomatic structure. 6. A computer program product for deciphering a phrase, the computer program product comprising a computer readable storage device having program code embodied therewith, the program code executable by a processing unit to: parse a phrase into a set of terms to reveal an analogical pattern; categorize the set of terms according to syntactic placement and place the terms into two or more categories according to word type patterns in the phrase to produce metadata; match the metadata to outcome metadata generated from a set of outcomes produced from a data storage; generate a set of grammatical data for each potential outcome; train a statistical model including weighing and ranking each potential outcome according to degree of congruence with the syntactic placement and word type patterns of the phrase; and select a highest outcome, wherein the highest outcome is the potential outcome with the highest rank and apply a confidence level data metric to the highest outcome. 7. The computer program product of claim 6, further comprising program code executable by a processing unit to: ascertaining a low confidence level data metric attributed to the highest outcome; sending the highest outcome to a client machine, the client machine to be used to adjust the highest outcome and generate an adjusted outcome; and receiving the adjusted outcome and saving the adjusted outcome to the data storage. 8. The computer program product of claim 6, further comprising the tool to: upon not finding evidence of a pattern associated with the set of outcomes in the ontological database, search a corpus for evidence of a pattern associated with the set of outcomes; and score each entry in the outcome set according to a weighted calculation from the corpus based on congruence with the pattern. 9. The computer program product of claim 8, wherein application of the score to each entry in the outcome set further comprises application of a weight to each entry in the outcome set, wherein the weight is based on an incidence of direct and indirect matches in the corpus. 10. The computer program product of claim 6, further comprising the tool to resolve a comparator, including employing evidence of the comparator in a corpus and incorporating the comparator evidence into the set of outcomes of generated idiomatic structure. 11. A method for generating a training set for an analogy outcome, the method comprising: parsing a phrase into a set of terms to reveal an analogical pattern; categorizing the set of terms according to syntactic placement and placing the terms into two or more categories according to word type patterns in the phrase to produce metadata; matching the metadata to outcome metadata generated from a set of outcomes produced from a data storage; generating a set of grammatical data for each potential outcome; training a statistical model including weighing and ranking each potential outcome according to degree of congruence with the syntactic placement and word type patterns of the phrase; and selecting a highest outcome, wherein the highest outcome is the potential outcome with the highest rank and applying a confidence level data metric to the highest outcome. 12. The method of claim 11, further comprising: ascertaining a low confidence level data metric attributed to the highest outcome; sending the highest outcome to a client machine, the client machine to be used to adjust the highest outcome and generate an adjusted outcome; and receiving the adjusted outcome and saving the adjusted outcome to the data storage. 13. The computer system of claim 11, further comprising the tool to: upon not finding evidence of a pattern associated with the set of outcomes in the ontological database, search a corpus for evidence of a pattern associated with the set of outcomes; and score each entry in the outcome set according to a weighted calculation from the corpus based on congruence with the pattern. 14. The computer system of claim 13, wherein application of the score to each entry in the outcome set further comprises application of a weight to each entry in the outcome set, wherein the weight is based on an incidence of direct and indirect matches in the corpus. 15. The computer system of claim 11, further comprising the tool to resolve a comparator, including employing evidence of the comparator in a corpus and incorporating the comparator evidence into the set of outcomes of generated idiomatic structure.