Sentence Analyzer - enabling business and enterprise applications to handle sentences and text

Pure structure mode, and usage of wildcards    When quite sure that the sentence you are looking for has a specific pattern, use the pure-structure + wildcard option.

Comparison options : A sentence can be 100% identical to another sentence in its structure, but differ in its content. That is fine for this toolbox. The opposite kind is where it can trip, and in between has varying degrees of success. Better grammar rules can improve this control, as can the correct comparison option used.
Comparison options in this demo
(a) Tightness - compare only a few specifics, or compare everything in sight.
(b) Ignore content completely, look at it simply as a structure with none, implied or literal nodes.
(c) Compare structure in-depth, or only use the top level structural patterns.
Options for comparing, or finding and selecting (i.e. change default settings)
Compare less tightly Use frequently, if find results are not OK
More structural than content  and 
Tree depth (deeper into structure)
 
Confusing certainly, but think of the power available to comparisons. Used singly or in combination, options can improve the confidence level of the process. Add wildcards to this mix and you can have a great degree of control.
How to use wildcards with * : See the box below at the left. The benchmark sentence can be composed of *NOUN or *ADJ or such parts-of-speech mixed with regular words. Wildcards can be mixed with regular words, usually with strongly structural text but not mandatory.
Try out the below, with different trial wildcard patterns  , and explore the "Compare less tightly" and other options. For questions : kinshuk_in @ yahoo dot. com
Note : The RESULTS shown are the human readable equivalent of Java/C# objects, and they have lots of additional information, like word meanings, group codes like colors and flavors etc., intended for further analytical/statistical treatment. This demo (created with no NLP APIs), stresses that with text, it is better to first maximize grammar based processing, and use statistics/math methods much later.
Sentences must be separated from each other by an ending period (. or ! or ?) and one space. Skip the descriptive stuff and go directly to demo
Using wildcard patterns demo ( Click more samples :         then Find/Collect)
Enter DESIRED benchmark sentence(s), or click one of the sample buttons above.. Max. 5 sentences.
Enter TARGETed sentence(s) or a paragraph. [See lyrics from Lucy In The Sky below]. This is what you want compared against the benchmark(s). Max. 20 sentences.
(Please scroll down for the RESULTS)     
Summary results : Searched and sorted among 10 target sentences. Highest co-relation 25.0 percent.
Best matching content + structure after a find/collect operation
All sorted matches (Best finds on top, degrades towards the end, and very bad matches ignored)
More view/try pages here.
Generic use cases
Back to home/basic analyzer
Comparing sentences, several modes
Find/search/sort/filter
Crunching a big text
Wildcard usages in pure structure mode
Business use cases
Handling Notes section in annual reports
Crunching of a Presidential speech
Executive profiles
Project statuses
USPTO events alerter
Customer reviews
Back to home/basic analyzer

More reading for those interested...

1. Things that are not obvious from the demo
2. Business products and possibilities
3. So what !! Universal grammar has been in use for decades now ...
4. The inevitable comparisons, to what already exists out there.
5. What is a sentence, to future application builders ?
6. The genesis and design principles story
7. Arbitrary listing of business usages
8. Extensions, additions, customizations possible in the toolkit
9. Important : Combining with the document extraction tool at text2data.net, benefits
No surprise that Latin and Greek grammer was considered so important. Pattern recognition is the basis of our intelligence.
Contact at : kinshuk_in @ yahoo dot. com