Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. In this work, we consider SN P systems with the re...
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DNA-based informationprocessing includes storage, addressing, transporting and error-correction, etc. Here we describe a feasible model that can extract and transport the information from specified sources to targete...
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Previous models in syntax-based statistical machine translation usually resort to some kinds of synchronous procedures, few of these works are based on the analysis-transfer-generation methodology. In this paper, we p...
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ISBN:
(纸本)9781941643266
Previous models in syntax-based statistical machine translation usually resort to some kinds of synchronous procedures, few of these works are based on the analysis-transfer-generation methodology. In this paper, we present a statistical implementation of the analysis-transfergeneration methodology in rule-based translation. The procedures of syntax analysis, syntax transfer and language generation are modeled independently in order to break the synchronous constraint, resorting to dependency structures with dependency edges as atomic manipulating units. Large-scale experiments on Chinese to English translation show that our model exhibits state-of-the-art performance by significantly outperforming the phrase-based model. The statistical transfer-generation method results in significantly better performance with much smaller models.
Post-editing has been successfully applied to correct the output of MT systems to generate better translation, but as a downstream task its positive feedback to MT has not been well studied. In this paper, we present ...
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This paper gives a general review and detailed analysis of China Workshop on Machine Translation (CWMT) Evaluation. Compared with the past CWMT evaluation campaigns, CWMT2013 evaluation is characterized as follows: fi...
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Most of the widely-used automatic evaluation metrics consider only the local fragments of the references and translations, and they ignore the evaluation on the syntax level. Current syntaxbased evaluation metrics try...
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ISBN:
(纸本)9781941643266
Most of the widely-used automatic evaluation metrics consider only the local fragments of the references and translations, and they ignore the evaluation on the syntax level. Current syntaxbased evaluation metrics try to introduce syntax information but suffer from the poor parsing results of the noisy machine translations. To alleviate this problem, we propose a novel dependency-based evaluation metric which only employs the dependency information of the references. We use two kinds of reference dependency structures: headword chain to capture the long distance dependency information, and fixed and floating structures to capture the local continuous ngram. Experiment results show that our metric achieves higher correlations with human judgments than BLEU, TER and HWCM on WMT 2012 and WMT 2013. By introducing extra linguistic resources and tuning parameters, the new metric gets the state-of-the-art performance which is better than METEOR and SEMPOS on system level, and is comparable with METEOR on sentence level on WMT 2012 and WMT 2013.
Protein structures are essential to understand the function. The predicted models have a broad range of the accuracy. Reliable estimates of the model quality are critical in determining the usefulness of the model to ...
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ISBN:
(纸本)9781467368001
Protein structures are essential to understand the function. The predicted models have a broad range of the accuracy. Reliable estimates of the model quality are critical in determining the usefulness of the model to address a specific problem. In this study, a novel method has been presented to rank the models by their relative qualities. The proposed method first extracts various features from the three dimensional structures of proteins and then the learning-to-rank algorithm is used to rank the models based on their similarities with the native structures. Furthermore, a quasi single-model method is presented, which uses the top five identified models as references and ranks the other models by the average similarity with the reference models. Benchmark test is performed on a newly developed, template-based decoy generators which covers all the main structure classes of proteins. The proposed learning-to-rank method achieves an average Pearson correlation coefficient of 0.94 and a AUC value of 0.97, which consistently outperform all other well-developed methods. The quasi single-model can further improves the performance and achieve nearly perfect results with both PCC and AUC value of 0.99. The results demonstrate that the proposed method is an effective methodology for model quality assessment and provides the state-of-the-art performance.
作者:
Jiao ShiJiaji WuXidian University
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Institute of Intelligent Information Processing Xi''an Shaanxi 710071China
The aurora is a natural light phenomenon in the sky, particularly in high-latitude *** is caused by the collision of energetic charged particles from the earth's magnetosphere and solar *** aurora is not only ...
The aurora is a natural light phenomenon in the sky, particularly in high-latitude *** is caused by the collision of energetic charged particles from the earth's magnetosphere and solar *** aurora is not only an optical *** also emits radio waves and has a strong influence on radio communications, on the weather, and on complex biological *** study of auroral activity attracts great interest form geophysicists due to its utility in analyzing high-latitude ionosphere-thermosphere-magnetosphere behaviors.A major source of images available for studying auroral activity consists of data collected by the Polar Ultraviolet Imager (UVI).
The color cast images usually have serious loss of the color information and are inconvenient for visual observation and image analysis. To tackle this problem, a novel two-stage image color cast correction scheme is ...
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On account of the characteristics of online Chinese-Vietnamese topic detection, we propose a Chinese-Vietnamese bilingual topic model based on the Recurrent Chinese Restaurant Process and integrated with event element...
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