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The standard approaches to word alignment are of two main strands[ 3] 1. statistical (or estimation) approaches 2. linguistic approaches The statistical approaches use probabilistic translation models estimated from parallel corpora.
However, RSF models estimated from presence/available data create unique problems for evaluating model predictions.
Differences in sensitivity and specificity were also found among models estimated from different moving-window sizes.
Given a cloth animation, we analyze the deformations and use motion events to drive crumpling and friction sound models estimated from cloth measurements.
The main results of the paper are used in the identification and analysis of nonlinear models estimated from data produced by a magneto-rheological damper (MRD) model with Bouc Wen rate-independent hysteresis.
Validation of these signals in a closed-loop setting is accomplished by evaluating the performance of decentralized PI with sleady-state decoupler controller designs based on models estimated from noisy open-loop experiments.
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These results suggest that the sampling time has an important bearing on the quality of the model estimated from routine operating data.
The numerical values of the two parameters S and L of this model, estimated from mass transfer data, appear to be well defined functions of flow conditions.
The latest model estimated from this method had an epoch of 2009 .17
All the experiments used a phone bigram language model estimated from the training data.
Thereby, a nonlinear model estimated from the direct path is extrapolated to the entire acoustic echo path.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com