《死海古卷》中的《圣经》古卷对于《旧约》文本研究的意义述评

《死海古卷》中的《圣经》手稿提供了用《圣经》原文语言写成的迄今最古老的《圣经》文本见证。一方面 ,它们印证了作为传世的各种现代语言《圣经》译本之底本的马所拉本的精确性和权威性 ;另一方面 ,它们表明马所拉本并非希伯来文本中唯一的范本 ,并证明与马所拉本时有不同的《七十子希腊文本》有其希伯来底本 ,有效地消除了人们在马所拉本的局限下对《七十子希腊文本》所持的怀疑态度。此外 ,《死海古卷》不仅补足了一些重要的文本细节 ,而且让我们窥见某些经卷和章节的历史演化轨迹。

天南地北

我国古代的外事宾馆 北魏时期,孝文帝迁都洛阳,使一度荒凉的洛阳城成为繁盛的商业城市,房屋建筑的新颖、别致,吸引着国外的众多游客。当时洛阳城内“四夷馆”,是专为安置各国使节、商旅和游客而修建的。

A Hybrid Method of Extractive Text Summarization Based on Deep Learning and Graph Ranking Algorithms

In the era of Big Data,we are faced with an inevitable and challenging problem of“overload information”.To alleviate this problem,it is important to use effective automatic text summarization techniques to obtain the key information quickly and efficiently from the huge amount of text.In this paper,we propose a hybrid method of extractive text summarization based on deep learning and graph ranking algorithms(ETSDG).In this method,a pre-trained deep learning model is designed to yield useful sentence embeddings.Given the association between sentences in raw documents,a traditional LexRank algorithm with fine-tuning is adopted fin ETSDG.In order to improve the performance of the extractive text summarization method,we further integrate the traditional LexRank algorithm with deep learning.Testing results on the data set DUC2004 show that ETSDG has better performance in ROUGE metrics compared with certain benchmark methods.

Improving the precision of the keyword-matching pornographic text filtering method using a hybrid model

With the flooding of pornographic information on the Internet, how to keep people away from that offensive information is becoming one of the most important research areas in network information security. Some applications which can block or filter such information are used. Approaches in those systems can be roughly classified into two kinds: metadata based and content based. With the development of distributed technologies, content based filtering technologies will play a more and more important role in filtering systems. Keyword matching is a content based method used widely in harmful text filtering. Experiments to evaluate the recall and precision of the method showed that the precision of the method is not satisfactory, though the recall of the method is rather high. According to the results, a new pornographic text filtering model based on reconfirming is put forward. Experiments showed that the model is practical, has less loss of recall than the single keyword matching method, and has higher precision.

Fault diagnosis for on-board equipment of train control system based on CNN and PSO-SVM hybrid model

Rapid and precise location of the faults of on-board equipment of train control system is a significant factor to ensure reliable train operation.Text data of the fault tracking table of on-board equipment are taken as samples,and an on-board equipment fault diagnosis model is designed based on the combination of convolutional neural network(CNN)and particle swarm optimization-support vector machines(PSO-SVM).Due to the characteristics of high dimensionality and sparseness of fault text data,CNN is used to achieve feature extraction.In order to decrease the influence of the imbalance of the fault sample data category on the classification accuracy,the PSO-SVM algorithm is introduced.The fully connected classification part of CNN is replaced by PSO-SVM,the extracted features are classified precisely,and the intelligent diagnosis of on-board equipment fault is implemented.According to the test analysis of the fault text data of on-board equipment recorded by a railway bureau and comparison with other models,the experimental results indicate that this model can obviously upgrade the evaluation indexes and can be used as an effective model for fault diagnosis for on-board equipment.

西方翻译史源流

西方翻译史可说始自《七十子希腊文本圣经》的翻译。这本书的翻译过程也像所有早期“史实”一样，恰好蒙上了一层传奇的色彩。

TWO-STAGE SENTENCE SELECTION APPROACH FOR MULTI-DOCUMENT SUMMARIZATION

Compared with the traditional method of adding sentences to get summary in multi-document summarization,a two-stage sentence selection approach based on deleting sentences in acandidate sentence set to generate summary is proposed,which has two stages,the acquisition of acandidate sentence set and the optimum selection of sentence.At the first stage,the candidate sentenceset is obtained by redundancy-based sentence selection approach.At the second stage,optimum se-lection of sentences is proposed to delete sentences in the candidate sentence set according to itscontribution to the whole set until getting the appointed summary length.With a test corpus,theROUGE value of summaries gotten by the proposed approach proves its validity,compared with thetraditional method of sentence selection.The influence of the token chosen in the two-stage sentenceselection approach on the quality of the generated summaries is analyzed.

Narrative Judgments and Its Ethical Implication in Ian McEwan＇s The Child in Time

As a newly developed theory, narrative ethics has its reasonability and advantages in that it can not only analyze either the contents or the forms of the texts, but also make an analysis of the combination of both contents and forms. This article, supported by James Phelan＇s rhetorical narrative theory as the theoretical base, attempts to explore and interpret narrative judgments and its implied ethics existing in The Child in Time by Ian McEwan so as to observe the hidden aesthetic orientation, the value judgments and the ethical intentions of the text and help to reveal the author＇s views of narrative ethics and aesthetics of the novel.

Model On Suspicion Deciding

First. we use graph theory to further clarify information of nodes and topics. Next, our paper analyzes the factor which affects the nodes probability of being conspirators. According to requirement 1, each node is given an initial probability in being a conspirator on the basis of the acquired information.Then we conduct calculations with the iterative equation produced by factor analysis to get the priority list of the 83 given nodes. In addition, according to requirement 2, we make some changes of the nodes information before solving the iterativc modcl above. Compared with former result, some changes of priority and probability of being conspirator emerges.Finally, based upon requirement 3, we pick out some infomaation from some certain topic by semantic analysis and text analysis. A new group of indexes are solved out with TOPSIS to finish the information-gathering period. The terminal indicator, containing the information of nodes and topics, is a weighted average value of the indexes obtained above and the indexes obtained in requirement 1 with the method of the variation coefficient.

Research on Online Reviews Impact on Commodity Sales in B2C E-commerce

The objective of this paper was to analyze the impact of online reviews on sales. Based on dual path model of commodity sales, an online reviews impact on the relationship between various factors, and then the theoretical hypothesis of each factor has been put forward in the model. As it is intuitive and strongly supported empirically, data including Chinese texts captured from Tmall.com was utilized, and then analyzed by SPSS and ROST CM6. Our empirical study on the reviews of Tmall.com indicated that the hypotheses are verified.

《古典文獻研究》稿約

1.《古典文獻研究》》是南京大學古典文獻研究所主辦的學術集刊,每年出版一輯兩卷,由鳳凰出版社出版。2.本集刊主要登載以古典文獻爲中心而展開的各種專門性研究。關於其他傳統學術問題的研究論文,並所歡迎。内容、主題,均所不限。尤其期望提出新理論、實踐新方法、開闢新領域的各種專深研究。書評、研究綜述等,亦適量登載。史料整理、文獻考證等,視其重要程度,選擇刊發。3.本集刊設有編輯委員會,採用專家匿名審稿制度。

《古典文献研究》稿约

一、《古典文献研究》是南京大学古典文献研究所主办的学术集刊,每年出版一辑,由凤凰出版社出版。二、本集刊主要登载以古典文献为中心而展开的各种专门性研究。关于其它传统学术问题的研究论文,并所欢迎。内容、主题,均所不限。尤其期望提出新理论、实践新方法。

地方立法后评估指标体系研究

地方立法后质量评价指标体系既要有理论依据,又要有实践参考价值,有较强的可操作性。地方立法后质量评价指标体系由"文本质量评价指标子体系"和"实施效益评价指标子体系"两部分组成。在实际操作中,两个子体系所得的量化评分在综合评价体系中各占恰当权重后折算出总得分,加上定性评价,共同组成该评估对象的总评价结论。有一些评价指标对地方立法质量起着决定性或关键性作用,建议评估主体可在必要时,将这些指标设定为"一票否定"性指标。