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I am a Web Designer with an Engineering Degree and over six years of comprehensive professional experience. I specialize in several different niche areas of development, including (but not limited to):
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Hidden Markov Based Mathematical Model dedicated to Extract Ingredients from Recipe Text
Part-of-speech tagging (POS tagging) is a pre-processing task that requires an annotated corpus. Rule-based and stochastic methods showed remarkable results for POS tag prediction. On this work, I performed a mathematical model based on Hidden Markov structures and I obtained a high-level accuracy of ingredients extracted from text recipe with performances greater than what traditional methods could make without unknown words consideration.
External knowledge transfer deployment inside a simple double agent Viterbi algorithm
The key challenge of this work lies in discovering the reason our old model does have bad performances when it is confronted with estimating ingredient state for unknown words and see if deploying external knowledge transfer directly on calculating state matrix could be the solution instead of deploying it only on back propagating step.