The strategy of dynamic programming reduces the complexity of a search problem which decomposes into frequently-reused instances of the same problem. You encountered dynamic programming for n-gram segmentation in HW4. We have also discussed two more dynamic programming algorithms in lecture: Viterbi and forward-backward. For HW5, you will need to implement the Viterbi algorithm. The forward-bac...

This paper presents the long data compression and the Cmos transistor count increased new fault technologies theses data compression the large data compression and storing the data are described, for provides high encoding efficiency and scalability with respect to the number of test channels support test channel the support algorithm is Viterbi-based test compression. Instead of using the line...

In this letter, the performance of turbo codes is evaluated through analysis and simulation over the Rice multiplicative fading channel. The analysis is conducted extending the results presented by Viterbi and Viterbi (1998) to the Rice multiplicative fading channel case. Simulation results are obtained using an extended version of the improved Jakes’ channel simulator, first presented by Pop a...

We propose a novel forest reranking algorithm for discriminative dependency parsing based on a variant of Eisner’s generative model. In our framework, we define two kinds of generative model for reranking. One is learned from training data offline and the other from a forest generated by a baseline parser on the fly. The final prediction in the reranking stage is performed using linear interpol...

By using viterbi decoder the power can be reduced according to number of stages used in each block. The efficient way to reduce data corruption in digital communication channels using various decoding algorithm. Although hardware implementations of decoding algorithms, (i.e.,) Viterbi algorithm, have shown good noise tolerance for error-correcting codes, these hardware implementations require a...

The duration and spectral dynamics of speech signal are modeled as the duration highorder hidden Markov model (DHO-HMM). Both the state transition probability and output observation probabilities depend not only on the current state but also several previous states. Recursive formulas have been derived for the calculation of the log-likelihood score of optimal partial paths. The high-order stat...

We describe a natural alternative for training sequence labeling models, based on MIRA (Margin Infused Relaxed Algorithm). In addition, we describe a novel method for performing Viterbi-like decoding. We test MIRA and contrast it with other training algorithms and contrast our decoding algorithm with the vanilla Viterbi algorithm.