[PDF] Top 20 Analyzing Neural MT Search and Model Performance
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Analyzing Neural MT Search and Model Performance
... a model to produce the best candidate according to a ...and performance of individual sys- tems can affect the final translation of the system ...the performance of the combined ... See full document
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Implementation of Feed-forward Neural Network Models for Pattern Classification Using Transformation Based Feature Extraction Methods
... The performance of an optical character recognition system extremely depends on the procedure used to extract quality features from ...like neural networks for the recognition of handwritten Hindi ... See full document
9
Empirical Evaluation of Active Learning Techniques for Neural MT
... of model-driven approaches and random sampling ...The performance of CS is dependent upon the as- sumption that attention probabilities are good at modeling word ...better performance than NSE, while ... See full document
10
Results of the WMT17 Neural MT Training Task
... large model and then reduce its size by removing unimportant units (Cun, Denker, and Solla, 1990; He et ...“teacher” model (or ensemble of mod- els) and train a smaller “student” network on its outputs ... See full document
9
Keynote: Unveiling the Linguistic Weaknesses of Neural MT
... N-gram based SMT (Casacuberta and Vidal 2004; Mariño et al. 2006) is a string-based alternative to PSMT. In this framework, smoothed n-gram models are learnt over se- quences of minimal translation units (called tuples), ... See full document
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CUNI Transformer Neural MT System for WMT18
... tuned model and a nonCZ-tuned ...tuned model, we selected a checkpoint with the best performance on wmt13-CZ (Czech-origin portion of newstest2013), which was at 774k ...nonCZ-tuned model, we ... See full document
6
A Search based Neural Model for Biomedical Nested and Overlapping Event Detection
... novel search-based neural model for nested and overlapping event detection by treating the task as structured prediction for ...Our model achieves performance com- parable to the ... See full document
8
A MODEL FOR ORGANIZING, MEASURING, ANALYZING STUDENTS’ KNOWLEDGE AND PERFORMANCE
... Multimedia; Neural Systems/Neural Networks; Numerical Analysis/Scientific Computing; Object Oriented Programming; Operating Systems; Programming Languages; Robotics; Symbolic & Formal Logic and Web ... See full document
14
The University of Edinburgh’s Neural MT Systems for WMT17
... report performance gains from en- sembling and re-ranking with right-to-left models, and find that gains have decreased slightly com- pared to last year’s systems, despite using the more expensive strategy of ... See full document
11
A Neural Network based Approach to Automatic Post Editing
... statistical MT (SMT), the currently dominant MT technology, it is non-trivial to rectify these er- rors in the SMT ...incremental MT frameworks as addi- tional training ...SMT model. An APE ... See full document
6
Regularized Evolution for Image Classifier Architecture Search
... the search spaces and datasets we ...more search spaces, datasets, and tasks, to verify general- ity, or to more ...three search spaces (SP-I: same as in the Results section; SP-II: like SP-I but ... See full document
10
Performance Prediction of Refrigeration Systems by Artificial Neural Network
... ABSTRACT: Simulation has been widely used for performance prediction and optimum design of refrigeration systems. Existing literature consists of significant work on vapour compression system models; however, not ... See full document
9
Download Download PDF
... maturity model was conducted through multiple case studies in companies from different business ...maturity model, future research can be conducted aiming to check companies which are classified within the ... See full document
12
Extracting Kinship from Obituary to Enhance Electronic Health Records for Genetic Research
... The success of a machine learning application does not solely depend on the model itself. Most of the time it is more determined by the quality of data, particularly the gold standard dataset for training and ... See full document
10
Why Catalan Spanish Neural Machine Translation? Analysis, comparison and combination with standard Rule and Phrase based technologies
... Recently, neural MT approach has been ...rule-based MT, then sta- tistical MT and just very recently, they are replac- ing some of their statistical MT engines by neural ... See full document
8
The TALP UPC Neural Machine Translation System for German/Finnish English Using the Inverse Direction Model in Rescoring
... char-to-char neural MT architecture for German- English and ...phrase-based MT system built with Moses (Koehn et ...char-to-char neural MT system from the same paper (Lee et ... See full document
5
What do Neural Machine Translation Models Learn about Morphology?
... completely identical: the models are trained on the same Arabic sentences with different translations. Figure 8 shows POS and morphological tagging accuracy of word-based representations from the NMT encoders, as well as ... See full document
12
Analysis of Influencing Factors in Predicting Students Performance Using MLP - A Comparative Study
... for performance analysis was taken from PG Computer Application course offered by an Arts and Science College between 2007 and ...the performance of the students are Theory, Medium of Study, Previous Course ... See full document
8
An Inductor Model for Analyzing the Performance of Printed Meander Line Antennas in Smart Structures
... inductor model, the inductance of the meander line sections can be calculated, and the reso- nant frequency is shown to decrease with increasing A and W as listed in Table ... See full document
9
Queing theory application to analyze production capacity
... The aim of this study is to achieve an appropriate queuing analytical model and determine its performance measures by analyzing the capacity requirements and estimating manufacturing cyc[r] ... See full document
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