[PDF] Top 20 Quality Estimation for Synthetic Parallel Data Generation
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Quality Estimation for Synthetic Parallel Data Generation
... When comparing the baseline and the extended feature sets, we observe fluctuating improvements according to Pear- son’s correlation coefficient regarding the training and test- ing corpora. Five data ... See full document
7
Adaptive bandwidth kernel density estimation for next generation sequencing data
... the quality of the density estimates are very much dependent on the choice of the kernel band- width necessitates a more careful and methodical approach to bandwidth ...HTS data make it a cumbersome process ... See full document
10
Iterative Back Translation for Neural Machine Translation
... monolingual data is a similar domain to the test ...the parallel training data (news with LDC and technical talks with TED) where the domain in monolingual data is entirely news, leading to ... See full document
7
Code Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences
... sentence generation is shown in Figure 2, where EC theory does not allow the word “ 其 实 " to come after “是" in Chinese, or the word “is" to come af- ter ... See full document
10
Automatic Generation of Parallel Treebanks
... annotated data for use in natural language processing has increased dramatically in recent ...for parallel treebanks, of which very few ...in data-oriented ...automatic generation of ... See full document
8
Learning Vine Copula Models for Synthetic Data Generation
... on synthetic and real-world datasets, we show that our proposed approach fits the data better in terms of log- ...for synthetic data ... See full document
9
eTranslation’s Submissions to the WMT 2019 News Translation Task
... original parallel data (Table 1). In Model 2 we ex- tended this data with filtered ParaCrawl (PC) v3 data, which led to a substantial improvement (al- though less so on the 2019 test ...the ... See full document
7
Bi Directional Neural Machine Translation with Synthetic Parallel Data
... gual) data into complete (parallel) data by back- ...ate synthetic source data from real monolingual target data, with promising results (+3 BLEU on strong ...generate ... See full document
8
Crowdsourcing High Quality Parallel Data Extraction from Twitter
... the quality pre- diction of the workers, as the result combination is done by finding the job with the highest score in the reference ...all quality estimation methods will pro- duce the same result, ... See full document
11
Adapting Neural Machine Translation with Parallel Synthetic Data
... The TER values of the general NMT system in the XRCE task were unusually high. This is due to the corpus features: As shown in Table 1, the XRCE–Test set has an average sentence length of 9 words. The general NMT model ... See full document
10
Building English to Serbian Machine Translation System for IMDb Movie Reviews
... In this work, we focus on neural machine translation of English IMD b movie reviews into Serbian, a morpho-syntactically complex South Slavic language. To the best of our knowledge, this is the first experiment dealing ... See full document
9
Design and Implementation of Boolean Functions using Multiplexer and also using Shannon Expansion Theorem
... The most basic type of multiplexer device is that of a one- way rotary switch as shown above. The rotary switch, also called a wafer switch as each layer of the switch is known as a wafer, is a mechanical device whose ... See full document
5
Analysis of quality raw data of second generation sequencers with Quality Assessment Software
... read quality affects the coverage and especially the quality of ...software Quality Assessment (QA), with which one can review graphs showing the distribution of quality values from the ... See full document
6
Estimation of pigment magnitudes in synthetic leather by using scanner and artificial neural network
... The present method in this study can be introduced as technique for the determination of ratio or percentage of pigments in combinatory pigment mixtures in synthetic leather or other textiles. As flat scanners are ... See full document
7
Schmidberger, Markus (2009): Parallel Computing for Biological Data. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... Due to the inflationary use of the term Cloud Computing , it is very difficult to give an exact definition of the term. Following [Vou08, BK09], Cloud Computing allows users to access scalable, real-time, Internet-based ... See full document
179
Synthetic Text Generation for Sentiment Analysis
... Table 1 shows the main experimental results. We see that the HMM is more accurately than LDA but less accurately than the MC. The method (c) outperforms the other methods and achieves an F-measure of 79% for the positive ... See full document
6
Unstructured mesh generation based on Parallel Virtual Machine in cyber physical system
... a parallel unstructured grid generation technique is studied and developed in CPS to improve the ...new parallel smoother technique is also provided in order to enhance mesh quality in ... See full document
11
Estimating rainfall distributions at high temporal resolutions using a multifractal model
... While the overall agreement between observed and generated distributions is satisfactory, there is some deviation towards the high-intensity end. The estimation error at the last quantile varies from a virtually ... See full document
12
Generation of non-symmetric synthetic datasets
... We may define procedures for generating synthetic databases, for the purpose of testing database management systems. In this report, we will examine two such procedures and gauge the usefulness of the resulting ... See full document
11
The Generation and comparison of multispectral synthetic textures
... 3.4.1 Feature Image Generation 52 3.4.3 Contrast Reversals 55 3.4.4 Spectral Covariance 55 3.5 Psychophysical Evaluation 3.6 Generation 4.0 Results of 55 Synthetic Scenes 58 59 4.1 Stati[r] ... See full document
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