文与悟:“良知即是易”的意本论解读

王阳明易学思想文本内容不多,目前学界已有论文对文本的运用重复率较高。鉴于有学者指出笔者1998年的论文没有把“良知即是易”加以深入的哲学分析,所以此文从意本论的角度,从“文”(文本)与“悟”(境界)两方面深入研讨“良知”与“易”的关系。本文基于《周易明意》意哲学的角度研讨阳明易学相关材料,力图穿透学界之前对阳明易学的文本诠释,并借助《周易明意》意本论哲学境界来领“悟”阳明易学材料与其心学哲学的内在关系,从而从意本论角度深入剖析和建构阳明心学“良知”与其易学哲学的关系。总之,本文从意本论哲学的角度,围绕文本与境界之间的张力,继承和发展学界之前从体用论角度研讨“良知”与“易”的既有成果,深入分析与阐释阳明“良知”与其易学哲学思想。以此为例,本文试图从“中国哲学”理论的角度推动“中国哲学史”相关问题研究。

“以文运事”及“因文生事”:史与诗之间的中国叙事学

相对于诗的理论，中国的小说理论、叙事理论显得幼稚得多。这是中国小说真正独立于世太迟的缘故，也与中国长期以来史与诗相通的文化传统有关。中国的小说理论和叙事理论总是徘徊于文学与诗学之间，未能显示出自己清晰、独卓的形态。而这也正形成中国小说理论和叙事理论的特．友：注重叙事文本史的功能与诗的品格，追求真与美、虚与实、情与理的辩证统一。与当代西方叙事学相比，中国叙事学更偏于人文内涵的研究，如社会的、心理的内容；尽管也从文体、形式、技巧的层次感悟和归纳出一些零星而又自成体系的精辟见解，但它不可能是形式主义或技术主义的，相反，具有浓重的“人学”精神和“心学”色彩。爬梳整理独具特色的中国叙事学，可以窥视和探究中华民族的精神气质，也可以拨正西方叙事的某些机械性和片面性，使叙事学理论之树长青。

Chromosome Preparation and Preliminary Observation of Two Amphioxus Species in Xiamen

Amphioxus has an important evolutionary position as a result of their phylogenetic position relative to vertebrates. Understanding their chromosomes would provide key points in the study of evolutionary biology and comparative genomics. The difficulty in preparing amphioxus chromosomes currently provides a significant hurdle in this research. In the current study, we describe an improved method for metaphase preparation from amphioxus embryos and methodology for preparing metaphase spreads from regenerative somatic cells. Chromosomes of two amphioxus species from Xiamen waters in China are also observed. The diploid chromosome number was found to be 40 in Branchiostoma belcheri, while B. japonicum has 36, confirming the two are distinct species from cytotaxonomic viewpoint.

Parallel naive Bayes algorithm for large-scale Chinese text classification based on spark

The sharp increase of the amount of Internet Chinese text data has significantly prolonged the processing time of classification on these data.In order to solve this problem,this paper proposes and implements a parallel naive Bayes algorithm(PNBA)for Chinese text classification based on Spark,a parallel memory computing platform for big data.This algorithm has implemented parallel operation throughout the entire training and prediction process of naive Bayes classifier mainly by adopting the programming model of resilient distributed datasets(RDD).For comparison,a PNBA based on Hadoop is also implemented.The test results show that in the same computing environment and for the same text sets,the Spark PNBA is obviously superior to the Hadoop PNBA in terms of key indicators such as speedup ratio and scalability.Therefore,Spark-based parallel algorithms can better meet the requirement of large-scale Chinese text data mining.

Apriori and N-gram Based Chinese Text Feature Extraction Method

A feature extraction, which means extracting the representative words from a text, is an important issue in text mining field. This paper presented a new Apriori and N-gram based Chinese text feature extraction method, and analyzed its correctness and performance. Our method solves the question that the exist extraction methods cannot find the frequent words with arbitrary length in Chinese texts. The experimental results show this method is feasible.

Automatic character detection and segmentation in natural scene images

We present a robust connected-component (CC) based method for automatic detection and segmentation of text in real-scene images. This technique can be applied in robot vision, sign recognition, meeting processing and video indexing. First, a Non-Linear Niblack method (NLNiblack) is proposed to decompose the image into candidate CCs. Then, all these CCs are fed into a cascade of classifiers trained by Adaboost algorithm. Each classifier in the cascade responds to one feature of the CC. Proposed here are 12 novel features which are insensitive to noise, scale, text orientation and text language. The classifier cascade allows non-text CCs of the image to be rapidly discarded while more computation is spent on promising text-like CCs. The CCs passing through the cascade are considered as text components and are used to form the segmentation result. A prototype system was built, with experimental results proving the effectiveness and efficiency of the proposed method.

An improved TF-IDF approach for text classification

This paper presents a new improved term frequency/inverse document frequency (TF-IDF) approach which uses confidence, support and characteristic words to enhance the recall and precision of text classification. Synonyms defined by a lexicon are processed in the improved TF-IDF approach. We detailedly discuss and analyze the relationship among confidence, recall and precision. The experiments based on science and technology gave promising results that the new TF-IDF approach improves the precision and recall of text classification compared with the conventional TF-IDF approach.

Discriminative Latent Model Based Chinese Multiword Expression Extraction

Discriminative Latent Model(DLM) is proposed for Multiword Expressions(MWEs) extraction in Chinese text to improve the performance of Machine Translation(MT) system such as Template Based MT(TBMT).For MT systems to become of further practical use,they need to be enhanced with MWEs processing capability.As our study towards this goal,we propose DLM,which is developed for sequence labeling task including hidden structures,to extract MWEs for MT systems.DLM combines the advantages of existing discriminative models,which can learn hidden structures in sequence labeling task.In our evaluations,DLM achieves precisions ranging up to 90.73% for some type of MWEs,which is higher than state-of-the-art discriminative models.Such results demonstrate that it is feasible to automatically identify many Chinese MWEs using our DLM tool.With MWEs processing model,BLEU score of MT system has also been increased by up to 0.3 in close test.

Sentiment classification model for bullet screen based on self-attention mechanism

With the development of short video industry,video and bullet screen have become important ways to spread public opinions.Public attitudes can be timely obtained through emotional analysis on bullet screen,which can also reduce difficulties in management of online public opinions.A convolutional neural network model based on multi-head attention is proposed to solve the problem of how to effectively model relations among words and identify key words in emotion classification tasks with short text contents and lack of complete context information.Firstly,encode word positions so that order information of input sequences can be used by the model.Secondly,use a multi-head attention mechanism to obtain semantic expressions in different subspaces,effectively capture internal relevance and enhance dependent relationships among words,as well as highlight emotional weights of key emotional words.Then a dilated convolution is used to increase the receptive field and extract more features.On this basis,the above multi-attention mechanism is combined with a convolutional neural network to model and analyze the seven emotional categories of bullet screens.Testing from perspectives of model and dataset,experimental results can validate effectiveness of our approach.Finally,emotions of bullet screens are visualized to provide data supports for hot event controls and other fields.

Unusual histopathological findings in appendectomy specimens:A retrospective analysis and literature review

AIM: To document unusual findings in appendectomy specimens. METHODS: The clinicopathological data of 5262 patients who underwent appendectomies for presumed acute appendicitis from January 2006 to October 2010 were reviewed retrospectively. Appendectomies performed as incidental procedures during some other operation were excluded. We focused on 54 patients who had unusual findings in their appendectomy specimens. We conducted a literature review via the PubMed and Google Scholar databases of English language studies published between 2000 and 2010 on unusual findings in appendectomy specimens. RESULTS: Unusual findings were determined in 54 (1%) cases by histopathology. Thirty were male and 24 were female with ages ranging from 15 to 84 years (median, 32.2 ± 15.1 years). Final pathology revealed 37 cases of enterobiasis, five cases of carcinoids, four mucinous cystadenomas, two eosinophilic infiltrations, two mucoceles, two tuberculosis, one goblet-cell carcinoid, and one neurogenic hyperplasia. While 52 patients underwent a standard appendectomy, two patients who were diagnosed with tuberculous appendicitis underwent a right hemicolectomy. All tumors were located at the distal part of the appendix with a mean diameter of 6.8 mm (range, 4-10 mm). All patients with tumors were alive and disease-free during a mean follow-up of 17.8 mo. A review of 1366 cases reported in the English literature is also discussed. CONCLUSION: Although unusual pathological findings are seldom seen during an appendectomy, all appendectomy specimens should be sent for routine histopathological examination.

Using LSA and text segmentation to improve automatic Chinese dialogue text summarization

Automatic Chinese text summarization for dialogue style is a relatively new research area. In this paper, Latent Semantic Analysis （LSA） is first used to extract semantic knowledge from a given document, all question paragraphs are identified, an automatic text segmentation approach analogous to Text＇filing is exploited to improve the precision of correlating question paragraphs and answer paragraphs, and finally some ＂important＂ sentences are extracted from the generic content and the question-answer pairs to generate a complete summary. Experimental results showed that our approach is highly efficient and improves significantly the coherence of the summary while not compromising informativeness.

Identifying Proper Names Based on Association Analysis

The issue of proper names recognition in Chinese text was discussed. An automatic approach based on association analysis to extract rules from corpus was presented. The method tries to discover rules relevant to external evidence by association analysis, without additional manual effort. These rules can be used to recognize the proper nouns in Chinese texts. The experimental result shows that our method is practical in some applications. Moreover, the method is language independent.

Meaningful String Extraction Based on Clustering for Improving Webpage Classification

Since webpage classification is different from traditional text classification with its irregular words and phrases,massive and unlabeled features,which makes it harder for us to obtain effective feature.To cope with this problem,we propose two scenarios to extract meaningful strings based on document clustering and term clustering with multi-strategies to optimize a Vector Space Model(VSM) in order to improve webpage classification.The results show that document clustering work better than term clustering in coping with document content.However,a better overall performance is obtained by spectral clustering with document clustering.Moreover,owing to image existing in a same webpage with document content,the proposed method is also applied to extract image meaningful terms,and experiment results also show its effectiveness in improving webpage classification.

The Problem of Text and ＂Personality Context＂： Intercultural Approach （Oriental Dimension）

One of the central problems of society and a civilization was always the ratio of personality and common culture. One of these aspects is a hermeneutic problem of understanding and interpretation of the text, or as one of options, --a ratio of the text and a personal context. There are both generality and distinctions in approaches of various cultures to this problem. There are many parallels that can be drawn between the directions and results of the investigation of the European and Buddhist hermeneutic traditions. The European hermeneutics on the whole is known to be based on the presumption of the unique personal authorship of a text, a multitude of historical viewpoints and meanings. Thus, the problem of understanding and interpretation acts as a problem of combining differences. The mechanism of conveying the cultural traditions under such conditions inevitably turns into a mechanism of interpreting the message conveying a definite cultural meaning. Modifying the meaning of any message is supposed to be dictated by the very fact of the temporal distance between the moments of creating and reading the text. In a number of oriental cultures, we face a somewhat different understanding of the problems of authorship, communication, ontology, and existence and on the whole, with a different understanding of the very problem of understanding. Just like we admit that it is necessary to preserve all existing natural landscapes, in the cultural life, we must consider every existing culture and their bearers--ethnic groups self-valuable and necessary.

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.

Unfaithfulness or Expressiveness？ On KU Hung-ming＇s Translation of Chinese Classics From the Perspective of Translation Norms

As a beak with the traditional ＂prescriptive＂ approach and an important complement to translation theories, translation norms thus open up a descriptive and target-oriented perspective for the translation practice and study. For the successful access of the translation text into the target culture, the translator has to make choices between two languages, texts and cultures, etc.. Thus the translation norms are revealed. This paper shows the operation of translation norms as seen from the English version of Chinese classics by KU Hung-ming and analyzes why KU Hung-ming＇s translation of Confucian classics such as Lun Yu and Zhong Yong enjoyed greater popularity among Western readers than the translation of Western missionaries. The paper also holds that the unfaithful translations regarded by a source text-oriented approach were actually where KU was most successful in implementing his translation strategies to achieve expressiveness.

Opera Translation and Globalization of Chinese Local Culture： A Case Study of Wuxi Opera

Against the background of a rigorous campaign of globalization of Chinese culture, the global dissemination of local operas has drawn attention from the government, art performers, translators and scholars. This paper takes Wuxi Opera, a precious cultural treasure in Jiangsu province, China, for example. We will discuss the difficulties in spreading Wuxi Opera globally and learn the successful globalizing experience from other operas, such as Peking Opera, Kunqu Opera and Sichuan Opera. Considering the important status and rich resources of Peking Opera, we will analyze Peking Opera thoroughly and the most important aspects of Sichuan Opera and Kunqu Opera. By analyzing their translations and globalization process, we believe that Wuxi Opera should make efforts especially in four aspects to make progress in its globalizing campaign.

The Cultural Diaspora Perspective on Translation Studies

Along with the process of globalization, diaspora has already become an eye-catching cultural phenomenon. More people cross borders of nations, leave their homeland and live in new homes, but they still maintain the characteristics of native culture and convention. The cultural turn in translation studies offers the best chance to understand more about the complexities of textual transfer and the patterns of cultural interaction. By virtue of this mode of cultural interaction, this paper has analyzed the translation practice and translation strategies from the cultural diaspora perspective, to deeply understand the relations between translation and culture beyond linguistic analysis. As in-between culture identity translators may re-examine two cultures with different eyes to find the intersection of two cultures and gain a balanced point. This move requires translators who play the role of intermediaries between cultures, to select the heterogeneous reconstruction, so as to achieve the intercultural communication in the translation activity

Design and implementation of a large-scale multi-class text classifier

Although, researchers in the ATC field have done a wide range of work based on SVM, almost all existing approaches utilize an empirical model of selection algorithms. Their attempts to model automatic selection in practical, large-scale, text classification systems have been limited. In this paper, we propose a new model selection algorithm that utilizes the DDAG learning architecture. This architecture derives a new large-scale text classifier with very good performance. Experimental results show that the proposed algorithm has good efficiency and the necessary generalization capability while handling large-scale multi-class text classification tasks.

Secondary Text： Author＇s Conception and Translator＇s Individuality

Translation, or interpretive and language code conversion of the text, is considered as an independent complex type of speech activity which consists of such stages as perception, understanding and interpretation of the foreign-language text and actual translation, that is selection of language means for the expression of the interpretive version of the original. Considerable attention is paid nowadays to the translations of works of such literary genre as literary fairy tale. Fairy tale is a type of prosaic folklore, which is met in the folklore of various peoples. Not only have literary fairy tales grown on the basis of folklore, but they also inherited its genre characteristics, developing and transforming them. Translation as an interpretive conversion of the text is considered within the concept ＂secondary text＂. The conspicuous feature of secondary texts is the double reference of the word： to its own culture referent and to a foreign culture referent. The secondary text cannot be completely understood and appreciated without its reference to ＂the second plane＂. Subjected to analysis are the problems of preserving original pragrnatics in secondary texts. The challenge of national fairy tales translation lies in the discrepancy of cultural concepts of the two nations and in considerable distinctions between the characters of Russian and British national fairy tales. The traditions of Russian national culture and the consistency of grammatical gender expression in the Russian language lead to gender shifts in the translation of English literary fairy tales.