large-scale statistical model
Bucking the Trend: Large Scale Cost Focused Active Learning for Statistical Machine Translation
... translation model learned from the so- far labeled data will (in addition to not being able to translate the trigger words correctly) also not be able to translate most of the non-trigger words cor- ...
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Large Scale Discriminative Training for Statistical Machine Translation Using Held Out Line Search
... a large amount of training data is necessary to reliably estimate their ...language model folds” (trans- lation grammars and language models built from other portions of the training data than are being ...
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The use of test scores from large-scale assessment surveys: psychometric and statistical considerations
... Rasch model and the 2PL model (Warm 1989), and estimators of this type are available for several polytomous IRT models, including some polytomous Rasch models (von Davier and Rost 1995, von Davier ...
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Statistical inference from large scale genomic data
... that model-based clustering methods are preferable to heuristic clustering methods such as K-means and hierarchical clustering for this data ...the model-based clustering algorithms, PMDE and MCLUST are ...
206
Scale Mixture of Gaussian Modelling of Polarimetric SAR Data
... The scale mixture models essentially describe the proba- bility density function giving rise to the measured complex scattering ...therefore model at the scattering vector level, that is, Single-Look ...
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Utility of daily vs monthly large scale climate data: an intercomparison of two statistical downscaling methods
... climate model data is essential to local and regional impact ...of statistical downscaling to produce continuous, grid- ded time series of precipitation and surface air temperature at a 1/8-degree ...
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Towards Efficient Large Scale Feature Rich Statistical Machine Translation
... For both languages, we used the provided Eu- roparl and News Commentary parallel training data to create the translation grammar neces- sary for our model. For Russian, we addi- tionally used the Common Crawl and ...
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A Large-scale Study of Statistical Machine Translation Methods for Khmer Language
... The main contribution of this paper, is the first large-scale study of Khmer statistical ma- chine translation. 40 language pairs was used in the experiments, and translation quality was evaluated ...
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Technical Note: The impact of spatial scale in bias correction of climate model output for hydrologic impact studies
... Abstract. Statistical downscaling is a commonly used tech- nique for translating large-scale climate model output to a scale appropriate for assessing ...the large-scale ...
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Large scale Reordering Model for Statistical Machine Translation using Dual Multinomial Logistic Regression
... Phrase reordering is a common problem when translating between two grammatically different languages. Analogous to speech recognition sys- tems, statistical machine translation (SMT) sys- tems relied on language ...
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Support Vector Regression In Statistical Downscaling For Rainfall Forecasting
... forecasting model is needed at a local scale by considering information about global atmospheric circulation that can be obtained from the General Cirulation Model (GCM) ...oriented model that ...
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Integrated approach to study river fluxes, water and sediment sources apportionment in sparsely monitored catchment
... a large-scale semi- distributed hydrological and erosion model (using the SWAT tool), a statistical assessment of regular discharge data, the discrimination of runoff sources using end-member ...
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Large Scale Escalator Risk Assessment Technology Coupling Model
... An escalator is a fixed electric drive device with a circulating running step for tilting passengers up or down [1]. Since New York State created the world's first escalator in 1899, the escalator has a history of over ...
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A hybrid model for large scale simulation of unsteady nonlinear waves
... investigated various types of breakers, which significantly contributed to our understanding of breaking wave dynamics. In order to extend the BEM for more general cases rather than breaking waves, the algorithm of BEM ...
176
Learning Compact Model for Large-Scale Multi-Label Data
... a large number of candidates for unseen ...dant model parameters to facilitate compact ...the model size compared to state-of-the-art LMLL approaches, in addition, achieves highly competitive ...
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TESTING OF HYPOTHESIS Parametric Test (T, Z, F) Chi Square
... of statistical model to be used (Statistical procedure can be developed by simplifying the large quantitative of numerical data and thus to assist in the task of obtaining meaning from them) ...
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Statistical Analysis of Missing Translation in Simultaneous Interpretation Using A Large scale Bilingual Speech Corpus
... or equal to 1 syllables/sec and less than 2 syllables/sec, the same to “2-3”, “3-4”, and so on. Note that only speech rate intervals with greater than 100 content words are shown in Figure 3. As can be seen, the ...
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Solving a Large-Scale Intertemporal Applied General Equilibrium Model
... CGE model described by Malakellis ...this model has been solved is twenty periods. The model consists of a sequence of 20 single-period CGE sub-models linked through time via the specification of ...
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Large scale discriminative language model reranking for voice search
... performance on weakAM-dev/test do not translate to v-search-test. Our DLMs are built using N-best out- puts from the recognizer that live in the “spoken do- main” (SD) and the manually transcribed v-search- data ...
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The Creation and Validation of a Large Scale Computer Model of the Golf Swing
... The aim of this study was to create and validate a full-body musculoskeletal model of a golfer performing a swing with their driver club. An elite female participant performed ten shots with her driver while ...
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