January 27, 2021
The latest generation of NextApp word suggestion technology has arrived!
More Accurate – reliance on rank-ordered lists results in poor accuracy, maturization of NLP (Natural Language Processing) techniques improve performance considerably
Faster – filtering logic means a smaller server footprint as well as faster response time given a language set
Simplified UI – our design has been market-tested and co-developed with users culminating in a simple, easy to use interface
Highly respected Modified Kneser-Ney Smoothing (MKNS)1 improves upon traditional back-off models, mainly by interpolation between the phrase levels (n-grams)
Process considers word-facings before and after, combines with search phrase counts, then weights – yielding a workable, valid distribution summing to one…high probability/count data have their probability reduced and added systematically to the lower probability data (smoothing)
Weights calculated on the frequency of 1 and 2 count phrases, discounting influence of lower level (n-gram) search results – these discounts reduce errors by limiting the effect of popular words (e.g., “and”) and elevating infrequent data
1. [Chen, Stanley F. and Joshua Goodman. 1998. An Empirical Study of Smoothing Techniques for Language Modeling. Harvard Computer Science Group Technical Report TR-10-98.]
NextApp is quite simple, the user simply enters a word or phrase and clicks one button
Underneath, calibrated tables are built from samples of modern news, blog, and twitter language
A final set of weights is applied to the MKNS model probabilities to better surface infrequent phrases
The user is returned a list of word selections presented in graphical format – the best choice is clearly called out in the results
In user output, y-axis distance between the chosen word and non-chosen provide easy, visual cues as to the strength of selection
NextApp Corporation is very excited about this latest work, and would like to thank you for the opportunity to present today
Future applications are wide-ranging, from assisted typing for disabled persons, to business inventory consolidation projects, as well as plagiarism detection
Check out our product here…NextApp