Design of communication protocols for real time estimation and control is an important problem in cyberphysical systems. Control performance is dependent on both the throughput and the delay characteristics of the communication network. We consider the problem of estimation and control of a linear time-invariant process across a communication channel that stochastically introduces both a time-v...

Many implicit inferences exist in text depending on how it is structured that can critically impact the text's interpretation and meaning. One such structural aspect present with chronology order of its presentation. For narratives or stories, this known as narrative order. Reordering a temporal, causal, event-based, other readers draw from it, which turn have strong effects both interestingnes...

Abstract Statistical methods have been widely used to postprocess ensemble weather forecasts for hydrological predictions. However, most of the statistical postprocessing apply a single variable at location, thus neglecting intersite and intervariable dependence structures forecast variables. This study synthesized multisite multivariate (MSMV) framework that extends univariate method MSMV vers...

This paper presents a Markov based hierarchical reordering scheme for lexical reordering to incorporate into phrase-based statistical machine translation system. The goal is to reorder the words and phrases in source language syntactic structure into their corresponding target language syntactic order for making translation easy. Without reordering during language translation, sentences can onl...

In this article, we present a novel machine translation model, the Operation Sequence Model (OSM), that combines the benefits of phrase-based and N-gram-based SMT and remedies their drawbacks. The model represents the translation process as a linear sequence of operations. The sequence includes not only translation operations but also reordering operations. As in Ngram-based SMT, the model is: ...

Chinese prepositions play an important role in sentence reordering, especially in patent texts. In this paper, a rule-based model is proposed to deal with the long distance reordering of sentences with special prepositions. We firstly identify the prepositions and their syntax levels. After that, sentences are parsed and transformed to be much closer to English word order with reordering rules....

For linear systems of equations arising from circuit simulation, we studied the efficiency of the reordering algorithm integrated in the MA27 subroutine package from Duff and Reid. Our conclusion is that the algorithm performs extraordinarily well, provided that the nearly-dense rows and columns of the matrix have been removed prior to reordering. Thus, we recommend the reordering implementatio...

Syntactic reordering approaches are an effective method for handling word-order differences between source and target languages in statistical machine translation (SMT) systems. This paper introduces a reordering approach for translation from Chinese to English. We describe a set of syntactic reordering rules that exploit systematic differences between Chinese and English word order. The result...

Bilingual sequence models improve phrase-based translation and reordering by overcoming phrasal independence assumption and handling long range reordering. However, due to data sparsity, these models often fall back to very small context sizes. This problem has been previously addressed by learning sequences over generalized representations such as POS tags or word clusters. In this paper, we e...