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An Approach Using Style Classification Features for Quality Estimation
... Quality Estimation (QE) aims to provide a quality indicator for machine translated sentences. There are many cases where such an indicator would be useful in a translation process: to compare differ- ... See full document
6
Quality estimation for Machine Translation output using linguistic analysis and decoding features
... of features into training a statistical ...statistically-independent features. For others, a search space of hundreds of features may impose increased computational complexity, which is often ... See full document
7
Linguistic Features for Quality Estimation
... MT quality assessment was ini- tially approached as a Confidence Estimation task, strongly biased towards exploiting data from a Sta- tistical MT (SMT) system and the translation pro- cess to model the ... See full document
8
Black Box Features for the WMT 2012 Quality Estimation Shared Task
... Our second approach to reduce dimensionality uses the hashing trick (Weinberger et al., 2009): a hash function is applied to each word and the sen- tence is represented by the hashed values which are again ... See full document
5
USFD’s Phrase level Quality Estimation Systems
... Another approach we experimented with is the use of predictions made by QE models at other levels of granularity: word level and sentence ...of features which are unavailable at the phrase ...different ... See full document
6
A Generic Approach for Web Page Classification Using URL’s Features Along With the Textual Content
... Project[4]. Classification of web page content is essential to many information retrieval tasks such as constructing and maintaining the web directories, improving the quality of the search results, ... See full document
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Linguistic correlates of style: authorship classification with deep linguistic analysis features
... From a linguistic perspective this is no surprise: it is clear that matters of linguistic form are those that can be captured by a syntactic and to some extent by a semantic analysis (as long as the se- mantic analysis ... See full document
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Authorship Analysis and Identification Techniques: A Review
... of features are considered for java and common lisp and depending on programs, comments, layout features and packages selected naming influences, classification accuracy other like user defined ... See full document
5
A Geometry Sensitive Approach for Photographic Style Classification
... automatic style and aesthetic quality estimator in the domain of digital photography such as interactive cameras, automated photo correction ...more style attributes could be ... See full document
8
Speech emotion classification using SVM and MLP on prosodic and voice quality features
... The classification-based approach focuses on selecting and designing classifiers that can determine the actual mapping between different emotions ...appropriate classification algorithms is the most ... See full document
7
Text Categorization Based on Bayesian Classification Approach using Class-Specific Features
... This paper proposes a novel system called PPSGen to generate presentation slides from academic papers. We train a sentence scoring model based on SVR and use the ILP method to align and extract key phrases and sentences ... See full document
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Information Density and Quality Estimation Features as Translationese Indicators for Human Translation Classification
... lexical features have the highest discriminative power for the two other ...complexity features, based on n-gram fre- quencies, are the most discriminant for the three tasks, followed by the surprisal ... See full document
11
Student Performance Classification using Adap...
... The classification has been performed using the SVM approach, which helps to enhance the performance in the competitive ...mining approach in addition to SVM as a classification ... See full document
9
Multi level Translation Quality Prediction with QuEst++
... traction module and a machine learning module. The first module is implemented in Java and pro- vides a number of feature extractors, as well as abstract classes for features, resources and pre- processing steps ... See full document
6
A Novel Approach for Automatic Classification of Breast cancer Using Features Extracted from Mammogram
... image, using K-Means clustering followed by EM-algorithm. Features extracted from the segmented cytoplasm and nucleus, are motivated by the visual cues of shape, color and ... See full document
9
Artificial Immune Systems and Missing Features Classification Approach
... and classification, for example, was created as a Tree Structured Artificial immune Network (TSAIN), (Zhang, Yi, ...object classification plays the key role in the understanding ...A classification ... See full document
7
A SVM adaptive approach for Ventricular disea...
... beat using combined adaptive threshold on transformed ECG ...predictive approach to improve the signal performance under beat detection ...enable approach to identify the prediction characterstics ... See full document
5
A Cross language Study on Automatic Speech Disfluency Detection
... this approach on both English and Mandarin conversational ...(MFCC) features augmented with Multi-Layer Perceptron (MLP) based phone- posterior features), while the second pass uses a cross-word ... See full document
6
Using an Innovative Quality-By Design Approach for Development and Validation of RP-HPLC Method For Simultaneous Estimation of Nebivolol HCl and Cilnidipine In the API and Tablet Dosage Form
... Screening experiment for selection of mobile phase composition, flow rate and pH. The screening experiment were performed response surface methodology, applying a 3 3 Box-Behnken design using Design Expert 11 ... See full document
19
Cascaded techniques for improving emphysema classification in computed tomography images
... the classification of histo-pathological cases by calculating the local singularity coefficients of an image using different intensity ...the features derived from the combination of the ... See full document
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