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Natural Language Processing (NLP) is a branch of artificial intelligence thatgives machines the ability to decode human languages. Partof-speech tagging(POS tagging) is a pre-processing task that requires an annotated corpus.Rule-based and stochastic methods showed remarkable results for POS tagprediction. On this work, I performed a mathematical model based on HiddenMarkov structures and I obtained a high-level accuracy of ingredients extractedfrom text recipe with performances greater than what traditional methods couldmake without unknown words consideration.

Hidden Markov Based Mathematical Model dedicated to Extract Ingredients from Recipe Text