[PDF] Top 20 A Re examination of Machine Learning Approaches for Sentence Level MT Evaluation
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A Re examination of Machine Learning Approaches for Sentence Level MT Evaluation
... strapping re-sampling and paired t-test to determine whether the difference between the metrics’ correla- tion scores has statistical significance (at ...fidence level)(Koehn, ...for sentence- ... See full document
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IMPLEMENTATION AND ANALYSIS OF MACHINE LEARNING APPROACHES AND TECHNIQUES FOR STUDENT DROPOUT PREDICTION
... information examination contextual analysis concentrated on discovery of dropout of Systems Engineering (SE) college understudies following 6 years of enlistment in a Colombian ... See full document
7
Using Machine Translation Evaluation Techniques to Determine Sentence level Semantic Equivalence
... for approaches based on word/n-gram ...and MT tasks, but the overall performance improvement relative to the other techniques is not as ...5.3 Sentence length ... See full document
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BLANC: Learning Evaluation Metrics for MT
... each MT system and compared to aggre- gate scores for automatic ...of machine translation output at a lower granularity. Sentence- level translation quality estimation is very useful when ... See full document
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A Re examination on Features in Regression Based Approach to Automatic MT Evaluation
... 3.1 Learning from human assessment data The machine translated sentences for model train- ing are provided with human assessment data score together with several human ... See full document
6
Regression and Ranking based Optimisation for Sentence Level MT Evaluation
... supervised learning to model directly hu- man ...as evaluation focusing more on flu- ency/adequacy/relative ranks or post editing ...includes approaches using classifica- tion (Corston-Oliver et ... See full document
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MACHINE TRANSLATION: APPROACHES AND EVALUATION
... new MT evaluation metric LEPOR was proposed as the combination of many evaluation factors including existing ones (precision, recall) and modified ones (sentence-length penalty and n-gram ... See full document
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Regression for Sentence Level MT Evaluation with Pseudo References
... chine learning approaches to MT evaluation, both with human references (Corston-Oliver et ...the learning approach is the ease of combining multiple ...translation evaluation ... See full document
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MT Evaluation: Human Like vs Human Acceptable
... Current approaches to Automatic Machine Trans- lation (MT) Evaluation are mostly based on met- rics which determine the quality of a given transla- tion according to its similarity to a given ... See full document
8
Rule based and machine learning approaches for second language sentence level readability
... the sentence-level readability of Swedish from a L2 learning point of ...two sentence selection methods and their implemen- tation for identifying sentences from a variety of Swedish corpora ... See full document
11
Fully Automatic Semantic MT Evaluation
... used MT evaluation metric despite the fact that a num- ber of large scale meta-evaluations (Callison-Burch et ...automatic MT evaluation metrics, like NIST (Doddington, 2002), ME- TEOR ... See full document
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STRATEGY TO IDENTIFY COGNITIVE LEVEL OF QUESTION USING BLOOM'S TAXONOMY
... three machine learning approaches to classify the question components that match Bloom’s cognitive ...three machine learning ...these approaches are ... See full document
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Comparing a Hand crafted to an Automatically Generated Feature Set for Deep Learning: Pairwise Translation Evaluation
... methods are the BLEU score (Papineni et al., 2002), TER (Snover et al., 2006), METEOR (Lavie and Agarwal, 2007) etc. Zechner and Wai- bel 2000 introduced the word error rate (WER), a lexical similarity metric. WER uses ... See full document
9
Machine Learning Approaches for Designing
... active material particle size and volume fraction, pressure in the compaction process, electrolyte 19.. conductivity, and binder/additives volume fraction are adopted as f[r] ... See full document
13
Supervised Machine-Learning Enables Segmentation and Evaluation of Heterogeneous Post-treatment Changes in Multi-Parametric MRI of Soft-Tissue Sarcoma.
... the machine- learning classifiers were defined by placing square regions of interest (ROIs) with area 1–2 cm 2 (45–100 voxels) in regions that exemplified each class, at locations far from visible ... See full document
10
The Comparison of Methods for IndividualTreatment Effect Detection
... Another significant difference between existing models is the methodology underlying them. Here, all models can be divided into two large groups. The first one includes models that transform the task of treatment effect ... See full document
12
A comparative evaluation of machine learning approaches in SMS spam detection
... d. The data sets used in this research has 4601 instances in which 39.4% are spam and each instance has 57 attributes. These data sets are prepared from UC Irvine. This website contains the data sets which are related to ... See full document
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An Approach to Sentence Level Anaphora in Machine Translation
... The MiMo formalism is a re- action to the CAT framework and tries to solve several translation problems by formulating an alternative defini- tion of compositionality.. Phenomena involvi[r] ... See full document
9
Malware Analysis and Classification: A Survey
... The re- ports generated by dynamic analysis can be compiled into behavioral profiles that can be clustered to combine samples with similar behavior into coherent ...malwares, re- searches have adapted a ... See full document
9
An Evaluation Tool for Machine Translation: Fast Evaluation for MT Research
... the evaluation of translation ...of machine translation (MT) research are ...define evaluation criteria which are more adequate than pure edit distance and we describe how the measurement ... See full document
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