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ABSTRACT

As an important part of Chinese academic journals, sci-tech periodicalshave great significance to the spread of knowledge of science and to thedevelopment of technology. The level of internationalization of a sci-tec journalrepresents its recognition degree in the field of international publishing,besides, it is also a key criteria of the success for launching the journals. Thereare the largest number of sci-tech periodicals launched in Beijing, which leadsto a central role that taken by this area. Therefore, result from the researchwhich focus in Beijing can, to a certain extent, reflect the international level ofChinese sci-tech periodicals.

This paper is divided into six chapters: Chapter one is a brief review of theacademic theories and description about the practice status and the currentsystem of Chinese sci-tech periodicals. Also, it summarizes the stages andcharacteristics of the development of sci-tech periodicals in Beijing. In chaptertwo, it provides the historical foundation, system condition and thedevelopment of digital technology for the following analysis. Chapter three, tofive respectively elaborates the current situation of the development of sci-techperiodicals in Beijing area by 3 aspects: content innovation, business strategyand media. In chapter six, it concluded the problems that China's sci-techperiodicals are facing during the globalization and then provides possiblecountermeasures based on the analysis in previous chapters.

Key Words: Beijing; sci-tech periodicals; internationalization; impact factor

Abstract

Within the framework of feminism and archetypal criticism, this thesis, by taking ThePassion of New Eve as its discourse, analyzes and discusses Angela Carter's application ofdemythologizing as a feminist strategy. By rewriting and subverting those female archetypes,Carter aims to break the fetters and shackles of patriarchy, exploring the way to women'sliberation as well as the reconciliation between two genders.

Believing that human society has been established on patriarchy, feminists endeavor tochange women's subordinate status and achieve gender equality. Archetypal criticism, as oneof the most influential branches in literary criticism,regards myth as the origin of literature.

Myths,especially the Bible,cover all the forms and motifs known as archetypes in literature.

As a devoted pioneer and advocator of feminism, Carter realizes that those female archetypesare usually stereotyped and dogmatic, which is actually invented by patriarchy for theoppression and exploitation of women.

Based on intensive reading and exhaustive textual analysis, this thesis illustrates Carter'sdemythologizing of three female archetypes in The Passion of New Eve, which are“Temptress,,,”Mother Goddesses“ and ”Eve“ respectively. Firstly, the sufferings that Leilahencounter in the novel reveal that ”Temptresses“ are in fact victims of patriarchy instead oforigins of disloyalty and disasters. While seen by men as objects of their sexual desires, theyalso risk self-objectification, which results in the deprivation of subjectivity as independenthuman beings. Secondly, ”Mother“ in Beulah is just an artificial myth,汪 consolatory toolfabricated by patriarchy, behind the glorification of which are patriarchal values and codes.

Thirdly, the transformative journey Eve experienced from a chauvinist to a real womandemonstrates that femininity, rather than an inherent quality, is the result of social influenceand persistent imitations.

Through the demythologizing of those female archetypes, Carter overthrows thepatriarchal hegemony as well as Utopian matriarchal dreams,offering androgyny as a potentialsolution to the current sexual conflicts. In her opinion, the real reconciliation between twogenders should be based on mutual respect and understanding, which is confirmed by theunion between the new Eve and Tristessa in The Passion of New Eve.

Keywords: female archetype; demythologizing; Angela Carter; The Passion of New Eve

Abstract

In recent years, with the development of the financial sector, more and morepeople pay attention to the financial information search. However, the traditionalkeyword search method could hardly meet the needs of financial users. Therefore,semantic search products have gained more popularity. However, the semanticparsing process is complex and diverse. During the process of the analysis oflarge-scale real text, the sentence analysis which based on word granularity is verydifficult, but after chunk analysis, the accuracy can be significantly improved andthe complexity can be clearly reduced. At present, the user input method is almostthe Pinyin input method, thus it could probably happen that the input phonetic lettersare correct, while the Chinese character is wrong. In order to achieve the purpose ofimproving the user experience, the Pinyin text proofreading appears.

The content of this paper is a pretreatment subsystem of the finance Q & Asystem, and it contains two functions, Pinyin text proofreading and chunk partition.

Text proofreading is based on Pinyin, in the first place, putting the query sequenceinto phonetic sequence. Then it uses the multiple grammars, three grammars and twogrammars to fill the Chinese characters sequence. And if there is no ambiguity whenfilling, then it uses the text proofreading, otherwise, ignores the text proofreading.

For the chunk partition, this paper uses three different methods: the method ofthe shortest path chunk partition, the method of CRF chunk partition and the methodof neural network chunk partition. The subsystem designed and implemented thethree methods. The shortest path chunk partition is similar to the dictionary wordsegmentation method. CRF chunk partition divided the problem into the annotationproblem, through getting the optimal sequence labels, to reach the purpose of chunkpartition. Chunk neural network chunk partition is based on word segmentation,changing the query sequence into a sequence of nodes. If the sequence of possibilityimproved after adding chunk tag on each node sequence, the tag position is a chunkposition.

In practical test, the shortest path chunk partition based on the dictionary,cannot process the query which is not in the dictionary of chunk. CRF chunkpartition can solve the unknown chunk query, but the mark information is too simplewhen the training corpus increased,and the error percentage of results increasedsignificantly. When using neural networks in chunk partition, the predicted timeincreases significantly, however, the query generalization is a good idea. Throughthe above research, a reasonable way to chunk partition is the CRF method, whichproperly uses the query generalization.

Finally after testing, the pretreatment subsystem has not only met the needs ofthe finance Q & A system, largely improving the financial Q & A system userexperience, but also reduces the analytical complexity, significantly improved thecorrectness and performance.

Keywords: Pretreatment system question analysis, chunk, text proofreading, CRF,neural network