[PDF] Top 20 Finite State Transducers Approximating Hidden Markov Models
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Finite State Transducers Approximating Hidden Markov Models
... We then build the union uS i of all initial subsequences Si and the union uS~n of all extended middle subsequences S,e=, and formulate a preliminary sentence model: uS ° = ~S, uS°~* 14 i[r] ... See full document
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On the Derivational Entropy of Left to Right Probabilistic Finite State Automata and Hidden Markov Models
... for finite-state models was studied in Nederhof and Satta (2008), but an approximate solution was stated as the solution of a linear system of ... See full document
21
Frequency tracking and hidden Markov models
... in hidden Markov models (HMMs) due to the applications in several disciplines such as speech recognition [1], frequency tracking [2], telecommunications [3] there are still important open problems ... See full document
267
Look Back and Look Ahead in the Conversion of Hidden Markov Models into Finite State Transducers
... • FSTs that encode correction rules for the most frequent tagging errors in order to significantly improve tagging accuracy above the accuracy of the underlying HMM.. These rules can ei-[r] ... See full document
10
Perfect sampling for nonhomogeneous Markov chains and hidden Markov models
... to hidden Markov models (HMMs), for which we obtain a perfect sampling characterization of conditional ergodicity phenomena, that is, ergodic properties of the signal process in the HMM under its ... See full document
35
Bayesian Nonparametric Hidden Semi-Markov Models
... each state transition must be re-sampled individually, and strong correlations within the state se- quence significantly reduce mixing rates (Fox, ...result, finite approximations to the HDP have ... See full document
29
Estimation of Hidden Markov Models and Their Applications in Finance
... tent state variables in a model employed in futures ...a state-space formulation of the futures price model suited for Kalman filtering and maximum likelihood ...the state variable for the spot and ... See full document
192
A new method for approximating vector autoregressive processes by finite state Markov chains
... The finite-state Markov chain approximation methods developed by Tauchen (1986a) and Tauchen and Hussey (1991) are widely used in solving functional equations where the state variables follow ... See full document
28
Decoding with Finite State Transducers on GPUs
... Weighted finite automata and transduc- ers (including hidden Markov models and conditional random fields) are widely used in natural language processing (NLP) to perform tasks such as ... See full document
9
Hidden semi-Markov Model based earthquake classification system using Weighted Finite-State Transducers
... (called state) is an exponentially decaying func- tion in time which is an unrealistic representation for the du- ration of earthquake classes or speech (Oura et ...apply Hidden semi-Markov ... See full document
9
Neural Finite State Transducers: Beyond Rational Relations
... neural finite state transducers (NFSTs), a family of string transduction models defining joint and conditional probability distri- butions over pairs of ...a finite state ... See full document
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Accounting for Allomorphy in Finite state Transducers
... morphological transducers have been built using finite state tools such as the Xerox Fi- nite State Tool (xfst and lexc, (Beesley and Kart- tunen, 2003)) and the Stuttgart Finite ... See full document
8
Aviation Data Mining
... We explore different methods of data mining in the field of aviation and their effectiveness. The field of aviation is al- ways searching for new ways to improve safety. However, due to the large amounts of aviation data ... See full document
7
PERFORMANCE COMPARISION OF ENVIRONMENTAL NOISE MODELLING USING HIDDEN MARKOV MODEL AND FUZZY HIDDEN MARKOV MODEL
... Fuzzy Hidden Markov Models is a mature technique, which has been successful applied in speech recognition and computational ...Fuzzy Hidden Markov Models can denote as: ... See full document
10
Representation of Texts in Structured Form
... The morphological knowledge used in lexical analysis is usually represented by Finite State Automata (FSA) and Finite State Transducers (FSTs) to implement the ele[r] ... See full document
26
An Architecture Approach for 3D Render Distribution using Mobile Devices in Real Time
... information models associated with medical training, management of geographically referenced information, and in the searching of extraterrestrial intelligence, among many other ... See full document
10
Identifying speculative bubbles with an in finite hidden Markov model
... This paper proposes an infinite hidden Markov model (iHMM) to detect, date stamp, and estimate speculative bubbles. Three features make this new approach attractive to practitioners. First, the iHMM is ... See full document
31
Translation with Cascaded Finite State Transducers
... DATE Saturday and February -4,2.. DAYWEEK Saturday -0.5.[r] ... See full document
8
Composing Finite State Transducers on GPUs
... For example, below (Section 4.1), we will de- scribe some FSTs induced from parallel text that we will use in our experiments. We measured the sparsity of these FSTs, shown in Table 1. These FSTs contain very few ... See full document
9
Bayesian Inference for Finite State Transducers
... Pereira and Riley (1996), treating epsilon input and output transitions correctly, especially with regards to their weighted interleaving. This yields a deriva- tion lattice D, each of whose paths transforms v into w. 1 ... See full document
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