英语文义谜的翻译和研究

英语文义谜的翻译和研究上海公安高等专科学校孙宝元英语文义谜（或称灯谜）是一种民间通俗文学，它也是为人民群众喜闻乐见的一种文艺形式。大家都知道，一篇译文的优与劣，“神韵”是其最高境界，是译者对原文潜意念的心领神会，是原文的风格与态度、精神与美感的再现。...

简论词的语文义与百科义

词语的释义可分为语文义、百科义两类。两者之间既有联系,又有区别,在一定条件下,还可以互相转化。区分这两种释义,对于词典编纂、语言规范、语文教学都有重要意义。

定义释义问题——答赵彦春、黄建华(之一)

了解某个词语的确切意义是人们查阅辞典非常重要的目的 ,辞典有义务为读者提供关于词语确切意义的知识。“属 +种差”的定义释义方法是揭示词语所表达概念内涵的方法 ,使人们对词语所指称的事物能有科学的、本质的了解。辞典的释义不能是“并不很科学”的“语文义” ,释义必须精心选择能够反映事物本质的特征 ,才能显示事物的区别性。不应当因为存在一些不成熟的定义 ,就怀疑甚至否定辞典使用定义释义的方法。

论“区别义”

能够使一事物区别于他事物的释义可称为区别义。区别义即逻辑定义,是所有辞典释义的核心。语文辞典释义在区别义上加入语文定义,专科辞典释义在区别义上加入知识附加。

王阳明“知行合一”三指

“知行合一”可谓王阳明哲学中最难把握的一个命题,这不仅在于其提出角度的特殊性,而且在于其具体指谓的多意性。从王阳明的论述来看,它起码有三层涵义。 一、作为实践中知与行本然关系的描述:“知行本体” 在王阳明有关“知行合一”的论述中,提到最多且贯穿始终的一个概念就是“知行本体”。当王阳明“始论‘知行合一’”时,就“举知行本体证之五经诸子……”(《王文成公全书》卷三十二,《年谱一》。商务印书馆1933年版。以下引此书只注篇名。)此后,无论是“与徐爱论学”还是《答顾东桥书》,“

Reducing semantic bias of annotations for semantic web service discovery

In order to improve the effectiveness of semantic web service discovery, the semantic bias between an interface parameter and an annotation is reduced by extracting semantic restrictions for the annotation from the description context and generating refined semantic annotations, and then the semantics of the web service is refined. These restrictions are dynamically extracted from the parsing tree of the description text, with the guide of the restriction template extracted from the ontology definition. New semantic annotations are then generated by combining the original concept with the restrictions and represented via refined concept expressions. In addition, a novel semantic similarity measure for refined concept expressions is proposed for semantic web service discovery. Experimental results show that the matchmaker based on this method can improve the average precision of discovery and exhibit low computational complexity. Reducing the semantic bias by utilizing restriction information of annotations can refine the semantics of the web service and improve the discovery effectiveness.

The Processing Mechanism of Associative Meaning Under the Cognitive Context Based on Culture

Cognitive context is the cognitionalized context of language, situation and context of culture by the individual which is stored and stimulated in individual＇s mind when meaning is processed. The focus of this article is on context of culture cognitionalized by individuals. Cognitive context based on culture is the inner force of the processing of associative meaning. Cognitive context reflects the similarities and differences of the understanding of different cultural communities towards the world around them.

Context-driven reconciliation in ontology integration

In order to solve the semantic irreconcilable problems caused by contextual differences during the process of ontology integration, a context-driven reconciliation mechanism is proposed. The mechanism is based on the previous work about a context-based formalism-Context-SHOIQ （D ＋ ） DL, which is used for explicitly representing context of ontology by adopting the description logic and the category theory. The formalism is extended by adding four migration rules （InclusionRule, SelectionRule, PreferenceRule, and MappingRule）, that are used to specify what should be imported into the IntegrativeContext, and three related contextual integration operations of increasing interoperability （import, partial reconciliation, and full reconciliation）. While not exhaustive, the mechanism is sufficient for solving the five types of semantic irreconcilable problems that are discussed, and favors integration of ontologies from one context to another.

Context query and association discovery for collaborative environment

A context memory model and an approach for context query and association discovery are proposed. The context query is based on a resource description framework （RDF） dataset and SPARQL language. To discover collaborative associations, an approach of transforming RDF named graphs into ＂context graph＂ is proposed. First, the definitions of the importance of the nodes and the weight assignment for the ＂context graph＂ are given. Secondly, the implementation of a spread activation algorithm based on ＂context graph＂ is proposed. An infrastructure is also built up in the collaborative context space （CCS） system to support context memory and knowledge discovery in a collaborative environment.

Monadically slicing programs with procedures

A two-phase monadic approach is presented for monadically slicing programs with procedures. In the monadic slice algorithm for interprocedural programs, phase 1 initializes the slice table of formal parameters in a procedure with the given labels, and then captures the callees＇ influence on callers when analyzing call statements. Phase 2 captures the callees＇ dependence on callers by replacing all given labels appearing in the corresponding sets of formal parameters. By the introduction of given labels, this slice method can obtain similar summary information in system-dependence-graph（SDG）-based algorithms for addressing the calling-context problem. With the use of the slice monad transformer, this monadic slicing approach achieves a high level of modularity and flexibility. It shows that the monadic interprocedural algorithm has less complexity and it is not less precise than SDG algorithms.

Feature study for improving Chinese overlapping ambiguity resolution based on SVM

In order to improve Chinese overlapping ambiguity resolution based on a support vector machine, statistical features are studied for representing the feature vectors. First, four statistical parameters-mutual information, accessor variety, two-character word frequency and single-character word frequency are used to describe the feature vectors respectively. Then other parameters are tried to add as complementary features to the parameters which obtain the best results for further improving the classification performance. Experimental results show that features represented by mutual information, single-character word frequency and accessor variety can obtain an optimum result of 94. 39%. Compared with a commonly used word probability model, the accuracy has been improved by 6. 62%. Such comparative results confirm that the classification performance can be improved by feature selection and representation.

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.

End-to-end dilated convolution network for document image semantic segmentation

Semantic segmentation is a crucial step for document understanding.In this paper,an NVIDIA Jetson Nano-based platform is applied for implementing semantic segmentation for teaching artificial intelligence concepts and programming.To extract semantic structures from document images,we present an end-to-end dilated convolution network architecture.Dilated convolutions have well-known advantages for extracting multi-scale context information without losing spatial resolution.Our model utilizes dilated convolutions with residual network to represent the image features and predicting pixel labels.The convolution part works as feature extractor to obtain multidimensional and hierarchical image features.The consecutive deconvolution is used for producing full resolution segmentation prediction.The probability of each pixel decides its predefined semantic class label.To understand segmentation granularity,we compare performances at three different levels.From fine grained class to coarse class levels,the proposed dilated convolution network architecture is evaluated on three document datasets.The experimental results have shown that both semantic data distribution imbalance and network depth are import factors that influence the document’s semantic segmentation performances.The research is aimed at offering an education resource for teaching artificial intelligence concepts and techniques.

Extraction Algorithm of English Text Summarization for English Teaching

In order to improve the ability of sharing and scheduling capability of English teaching resources, an improved algorithm for English text summarization is proposed based on Association semantic rules. The relative features are mined among English text phrases and sentences, the semantic relevance analysis and feature extraction of keywords in English abstract are realized, the association rules differentiation for English text summarization is obtained based on information theory, related semantic roles information in English Teaching Texts is mined. Text similarity feature is taken as the maximum difference component of two semantic association rule vectors, and combining semantic similarity information, the accurate extraction of English text Abstract is realized. The simulation results show that the method can extract the text summarization accurately, it has better convergence and precision performance in the extraction process.

Enhancing Domain Knowledge with Semantic Models of Web Documents

The paper considers the problem of semantic processing of web documents by designing an approach, which combines extracted semantic document model and domain- related knowledge base. The knowledge base is populated with learnt classification rules categorizing documents into topics. Classification provides for the reduction of the dimensio0ality of the document feature space. The semantic model of retrieved web documents is semantically labeled by querying domain ontology and processed with content-based classification method. The model obtained is mapped to the existing knowledge base by implementing inference algorithm. It enables models of the same semantic type to be recognized and integrated into the knowledge base. The approach provides for the domain knowledge integration and assists the extraction and modeling web documents semantics. Implementation results of the proposed approach are presented.

Terms and Metaphors in TasawwufDiscourse

This paper treats metaphors and terminology or the discourse of tasawwuf Having in mind that tasawwuf is a discipline developed in the scope of Islamic tradition and that its focus is on the esoteric dimension of the Qur＇an （ta wil）, which relates to the cognition of the highest rank, an approach to such a discourse needs special effort, both intellectual and spiritual. The language of literature belonging to either theoretical or practical tasawwuf is highly symbolic： theoretical tasawwuf deals with ontology and discusses God, world, and human being, while pragmatic tasawwuftries, just as the ethics, to change human being, that is, to ennoble him. Because of its specific way of presentation and its specific discourse, a communication with that discourse is determined by the knowledge of its symbolism, its terminology and, generally, its professional terminology.

A Study on Semantic Coherence in Discourse Translation from the Perspective of Thematic Progression Patterns

This paper discusses the semantic coherence in discourse translation from the perspective of thematic progression, and holds that in translating a discourse the translator should spare no effort to retain the original thematic progression pattern in the target text, but when the original thematic progression pattern cannot be directly retained, the translator should construct his own thematic structure and substitute progression pattern in the target text, thus to make it as readable as the original text without distorting the original information structure. This paper also attempts to explore the circumstances under which the original thematic progression pattern can be retained and the substitute should be reconstructed.

The Hidden Curriculum in Language Classrooms

This paper discusses the issue of the hidden curriculum in the setting of a language classroom. The author first talks about the definition of the hidden curriculum from a theoretical perspective and proposes her own working definition. She then elaborates on the reasons and main manifestations of the hidden curriculum from the teachers＇ and learners＇ angles respectively with examples taken from language classrooms. Based on some profound reflections, some feasible suggestions on how to minimize the negative impacts of the hidden curriculum are suggested. On the basis of the previous discussion, the author reaches a conclusion： Language teachers should not avoid or ignore the hidden curriculum existing in the language teaching processes; rather, they are expected to face it positively and try their very best to solve the problems it brings. A sound attitude towards the hidden curriculum can help language teachers better understand and implement the formal or official curriculum made by the school or the state.