This project implements a robust Part-of-Speech (POS) tagger from scratch using a Hidden Markov Model (HMM) framework. It explores and compares three n-gram models (Unigram, Bigram, and Trigram) to ...

Implemented the Viterbi algorithm for sequence tagging, did feature engineering to identify a good set of features and also compared the MEMM and CRF Statistical Modeling Methods, using Tensor Flow ...

Sequence-based protein function and structure prediction depends crucially on sequence-search sensitivity and accuracy of the resulting sequence alignments. We present an open-source, general-purpose ...

With the consumer demand for increased content and as a result, increasing high data bandwidth continuing to drive communications systems, coding for error control ...