本文明确了区分作为谋篇意义关系的衔接和体现衔接的形式机制的必要性，讨论了Halliday & Hasan （1985）和胡壮麟（1994）对衔接理论的贡献和衔接理论仍然存在的问题。本文从衔接的基本功能出发，进一步扩大了衔接的范围，把它等...本文明确了区分作为谋篇意义关系的衔接和体现衔接的形式机制的必要性，讨论了Halliday & Hasan （1985）和胡壮麟（1994）对衔接理论的贡献和衔接理论仍然存在的问题。本文从衔接的基本功能出发，进一步扩大了衔接的范围，把它等同于联系小句间及其以上单位的谋篇意义。它不仅是组织概念意义的语义关系，而且还是组织人际意义的语义关系。同时，衔接不仅是组织语篇内部由语言形式体现的意义的谋篇意义，而且还是把语篇与情景语境联系起来的谋篇意义。从这个意义上讲，衔接就是表达小句间和小句以上单位意义联系和把语境与语篇联系起来的谋篇意义。这样衔接与连贯的区别在于前者是语篇的具体意义关系，后者是其产生的整体效应。展开更多
Dynamic Equivalence is a concept introduced by Nida(1964) in the context of Bible translation. It has been widely accepted in the field of translation throughout the world but also been questioned by some scholars. Ca...Dynamic Equivalence is a concept introduced by Nida(1964) in the context of Bible translation. It has been widely accepted in the field of translation throughout the world but also been questioned by some scholars. Can the theory of dynamic equivalence be applied to all kinds of translation? The present paper tries to find an answer to the question through an analysis of a C/E translation on the basis of Halliday’s theory. [展开更多
The difficulty in crude oil price forecasting, due to inherent complexity, has attracted much attention of academic researchers and business practitioners. Various methods have been tried to solve the problem of forec...The difficulty in crude oil price forecasting, due to inherent complexity, has attracted much attention of academic researchers and business practitioners. Various methods have been tried to solve the problem of forecasting crude oil prices. However, all of the existing models of prediction can not meet practical needs. Very recently, Wang and Yu proposed a new methodology for handling complex systems-TEI@I methodology by means of a systematic integration of text mining, econometrics and intelligent techniques.Within the framework of TEI@I methodology, econometrical models are used to model the linear components of crude oil price time series (i.e., main trends) while nonlinear components of crude oil price time series (i.e., error terms) are modelled by using artificial neural network (ANN) models. In addition, the impact of irregular and infrequent future events on crude oil price is explored using web-based text mining (WTM) and rule-based expert systems (RES) techniques. Thus, a fully novel nonlinear integrated forecasting approach with error correction and judgmental adjustment is formulated to improve prediction performance within the framework of the TEI@I methodology. The proposed methodology and the novel forecasting approach are illustrated via an example.展开更多
文摘本文明确了区分作为谋篇意义关系的衔接和体现衔接的形式机制的必要性，讨论了Halliday & Hasan （1985）和胡壮麟（1994）对衔接理论的贡献和衔接理论仍然存在的问题。本文从衔接的基本功能出发，进一步扩大了衔接的范围，把它等同于联系小句间及其以上单位的谋篇意义。它不仅是组织概念意义的语义关系，而且还是组织人际意义的语义关系。同时，衔接不仅是组织语篇内部由语言形式体现的意义的谋篇意义，而且还是把语篇与情景语境联系起来的谋篇意义。从这个意义上讲，衔接就是表达小句间和小句以上单位意义联系和把语境与语篇联系起来的谋篇意义。这样衔接与连贯的区别在于前者是语篇的具体意义关系，后者是其产生的整体效应。
文摘Dynamic Equivalence is a concept introduced by Nida(1964) in the context of Bible translation. It has been widely accepted in the field of translation throughout the world but also been questioned by some scholars. Can the theory of dynamic equivalence be applied to all kinds of translation? The present paper tries to find an answer to the question through an analysis of a C/E translation on the basis of Halliday’s theory. [
基金This research is partially supported by NSFC, CAS, RGC of Hong Kong and Ministry of Education and Technology of Japan
文摘The difficulty in crude oil price forecasting, due to inherent complexity, has attracted much attention of academic researchers and business practitioners. Various methods have been tried to solve the problem of forecasting crude oil prices. However, all of the existing models of prediction can not meet practical needs. Very recently, Wang and Yu proposed a new methodology for handling complex systems-TEI@I methodology by means of a systematic integration of text mining, econometrics and intelligent techniques.Within the framework of TEI@I methodology, econometrical models are used to model the linear components of crude oil price time series (i.e., main trends) while nonlinear components of crude oil price time series (i.e., error terms) are modelled by using artificial neural network (ANN) models. In addition, the impact of irregular and infrequent future events on crude oil price is explored using web-based text mining (WTM) and rule-based expert systems (RES) techniques. Thus, a fully novel nonlinear integrated forecasting approach with error correction and judgmental adjustment is formulated to improve prediction performance within the framework of the TEI@I methodology. The proposed methodology and the novel forecasting approach are illustrated via an example.
