许国璋语言论札记

语言学研究主要从事对有机体内部的研究和有机体与有机体之间的关系的研究。“许国璋论语言”对此作了哲学上的探索。他辩证地回答了符号的能指与所指的任意性问题 ;并就社会语言学和唯理语言学在理论上的分歧、价值、研究成果和应用作了更全面的论述与概括 。

社会语言学和唯理语言学在理论上的分歧

社会语言学这一名词,是和一系列跨学科的语言学(诸如心理、生理、神经、数理、民族、计算机语言学等)一起出现的。学科细别足以表示学术的深化,细别而又注意到边隙地带,可望达到完备而不漏。当然,深化和完备只能是指一个时期的,过一段时期,新的边隙又可能出现。五十年代,布龙菲尔德(Leonard Bloomfield)学派的音位学盛极一时,口气仿佛是:这才是科学的语言学,而语言科学也止于是矣!没有多久,

浅议ESP与成人英语教学

ESP是本世纪六十年代发展起来的一门新兴科学。起特点是教学目的明确,针对性强,实用价值高,目前ESP在我国成人英语教育和职业教育中日益普及。本文介绍了ESP兴起、发展、特点和种类,提出在中国加入WTO,对外交往日益频繁的今天,专门用途英语的重要性更加突出。在电大英语教学中,我们应该重视和加强专门用途英语的教学研究。

来源于地名的英语词汇的隐喻映射

依据当代中外的隐喻理论和认知语言学理论,论述地名名词的隐喻映射过程及其特点。主要阐明了地名名词以其独特而丰富的隐含义在商业广告、科技术语和其他文体中的应用,并分析了其隐喻映射过程。

An interpretation of J. C. Catford＇s A linguistic theory of translation

J. C. Catford is a world-renowned British linguist and translation theorist, and also an outstanding representative of the linguistic school of translation. His famous work A linguistic theory of translation was first published by Oxford University Press in 1965, and republished in 1967. It was among the list of the series of language and linguistic studies of Oxford University. This essay attempts to interpret this great book in five aspects, namely, definition of translation, types of translation, translation equivalence, transference, and limits of translatability, and tries to probe into the positive impact of its theories on the development of translation theory and its limitations.

On Second Language Learners＇ Lexical Competence

The paper discusses SL learners＇ lexical competence from O＇Connor＇s Five Steps of Vocabulary Acquisition Theory, Collins ＆ Loftus＇s Semantic Network Theory and Fay ＆ Cutler＇s Mental Lexicon Theory. From the discussion, the author finds that second language learners＇ lexical competence includes the following aspects： the ability to recall the words which are similar to the target words in spelling and pronunciation; the ability to recall the synonyms of the target words; the ability to recall the antonyms of the target words; and the ability to recall the related words which come together with the target words in a context. Meanwhile it advances some strategies to develop the corresponding competence.

The Comparative Study of Metaphors -- From Cognitive and Systemic-Functional Perspectives

Metaphors have different expressions in cognitive and systematic-functional linguistics, which are conceptual metaphors and ideational metaphors. Conceptual metaphors belong to traditional vocabulary metaphors, and ideational grammatical metaphors are pointed out by Halliday--the main representative of systemic-functional theory. This paper elaborates on the specific grammatical feature of EST （English for Science and Technology） text--＂nominalization of processes＂ to reveal the source of ideational metaphors. From the analysis of some examples, it is found that nominalization as a grammatical metaphor expresses the transference between process types, so it reveals the essence of ideational grammatical metaphors. Meanwhile, the comparison made between grammatical metaphors and vocabulary metaphors reflects the similarities between conceptual metaphors and ideational metaphors. In this way, this paper comes to the conclusion that the combination of the study methods of metaphors from both cognitive and systemic-functional perspectives is the best way to uncover the basic characteristic of human thinking.

On College English lexical teaching

Vocabulary is a fundamental element of a language. It undertakes the task of conveying semantic meanings. And it guarantees the implement of language communication. Thus, accumulation of a certain amount of vocabulary and the master of proper use of them is the essential condition of skillful employment of a language. The current lexical teaching in College English is far from satisfaction. Based on the findings of psycholinguistic research, this paper intends to explore an effective way to help the students enlarge their vocabulary and use them correctly with the help of various psychological associations with English vocabulary through analysis of some lexical mistakes committed in students＇ daily writing exercises.

The Implication of the Research of CALL in English Teaching in China

In the rapidly evolving academic field of CALL （computer-assisted language leaming） in China, it is no longer a question of whether to take advantage of the technologies of computer and Internet in foreign language instruction, but of how to make effective use of them. By reviewing the literature of CALL in China and abroad, this article holds the view that in China where the educational resources are insufficient and unevenly distributed, the use of CALL should confirm and expand ESL/EFL theories to the utmost; the research of CALL should focus more on learning or learner, especially on learning strategy in CALL environment; to have a better understanding of the potential and functions of CALL in foreign language instruction, the research of CALL should cover all aspects of language learning.

Research on Text Mining of Syndrome Element Syndrome Differentiation by Natural Language Processing

Objective Natural language processing (NLP) was used to excavate and visualize the core content of syndrome element syndrome differentiation (SESD). Methods The first step was to build a text mining and analysis environment based on Python language, and built a corpus based on the core chapters of SESD. The second step was to digitalize the corpus. The main steps included word segmentation, information cleaning and merging, document-entry matrix, dictionary compilation and information conversion. The third step was to mine and display the internal information of SESD corpus by means of word cloud, keyword extraction and visualization. Results NLP played a positive role in computer recognition and comprehension of SESD. Different chapters had different keywords and weights. Deficiency syndrome elements were an important component of SESD, such as "Qi deficiency""Yang deficiency" and "Yin deficiency". The important syndrome elements of substantiality included "Blood stasis""Qi stagnation", etc. Core syndrome elements were closely related. Conclusions Syndrome differentiation and treatment was the core of SESD. Using NLP to excavate syndromes differentiation could help reveal the internal relationship between syndromes differentiation and provide basis for artificial intelligence to learn syndromes differentiation.

WORD SENSE DISAMBIGUATION BASED ON IMPROVED BAYESIAN CLASSIFIERS

Word Sense Disambiguation (WSD) is to decide the sense of an ambiguous word on particular context. Most of current studies on WSD only use several ambiguous words as test samples, thus leads to some limitation in practical application. In this paper, we perform WSD study based on large scale real-world corpus using two unsupervised learning algorithms based on ±n-improved Bayesian model and Dependency Grammar (DG)-improved Bayesian model. ±n-improved classifiers reduce the window size of context of ambiguous words with close-distance feature extraction method, and decrease the jamming of useless features, thus obviously improve the accuracy, reaching 83.18% (in open test). DG-improved classifier can more effectively conquer the noise effect existing in Naive-Bayesian classifier. Experimental results show that this approach does better on Chinese WSD, and the open test achieved an accuracy of 86.27%.

How to Apply Humanistic Psychology to Establish an Effective Emotional Class Climate in China

To enhance students＇ all-around development and personal potential is the main purpose that teachers want to obtain in their teachings. The author believes that it can be achieved only in a relaxed and safe class atmosphere. The article introduces the humanistic psychology and illustrates how to apply humanistic psychology to the foreign language class and establish an effective emotional class climate in China.

The Application of the Psychological Linguistics Theory in College English Reading Teaching

The training of reading skill is the focal point of college English teaching. Psychological linguistics provides a new point of view for college English teaching. From the aspect of psychological linguistics theory this paper discusses some issues, including how to train students to complete the reading process independently, how to build the schema to achieve integrated discourse comprehension, how to choose the most appropriate reading model, in order to improve the English reading skill and provide some enlightenment for college English reading teaching.

Studies on Garden Path Phenomenon in English

Garden path phenomenon is a term that originated from psycholinguistic field. As a special temporary or local ambiguity in language processing, it has been widely explored and studied from aspects of semantics, syntax, pragmatics as well as psycholinguistics and cognitive linguistics over the years, since it was first put forward by Bever in the 1970s. The research of garden path phenomenon is of considerable significance both theoretically and practically. This paper is designed to explore the garden path phenomenon in English through literature and examples. Some basic concepts and main triggering factors of garden path phenomenon are analyzed. This paper explores the triggering factors of garden path phenomenon from the aspects of syntax, semantics, and pragmatics. The major finding is that garden path phenomenon can help learners understand the operation of human language processing mechanism and improve their abilities to deal with garden path sentences, which is of great benefits to learn and understand English language.

A survey of deep learning-based visual question answering

With the warming up and continuous development of machine learning,especially deep learning,the research on visual question answering field has made significant progress,with important theoretical research significance and practical application value.Therefore,it is necessary to summarize the current research and provide some reference for researchers in this field.This article conducted a detailed and in-depth analysis and summarized of relevant research and typical methods of visual question answering field.First,relevant background knowledge about VQA(Visual Question Answering)was introduced.Secondly,the issues and challenges of visual question answering were discussed,and at the same time,some promising discussion on the particular methodologies was given.Thirdly,the key sub-problems affecting visual question answering were summarized and analyzed.Then,the current commonly used data sets and evaluation indicators were summarized.Next,in view of the popular algorithms and models in VQA research,comparison of the algorithms and models was summarized and listed.Finally,the future development trend and conclusion of visual question answering were prospected.

What Is Going on in the Minds of Translators？ A Review of Studies on Translation Process

Border areas have provided significant new research questions as well as fruitful insights and hypotheses. The cognitive and neuropsychologic study of translation process is a good example of this kind. This paper has surveyed various researches on translation process. Studies related to ＂the black box of translation＂ are divided into two categories, i.e., studies adopting think-aloud protocols, and studies from the physiology and neuroscientific perspectives. It has been noted that those studies on translation process have made some progress in the past years Firstly, the participants have undergone a change from language learners to professional translators or interpreters Secondly, the purposes of the studies have a tendency of gradually becoming specific. Thirdly, more rigorous methodologies have been developed, with more and more new technological approaches being applied

Perspectives of Chunk Analyses

This paper reviews three main perspectives of chunk analyses： traditional phraseological, psycholinguistic, and corpus linguistic perspectives. Traditional phraseological perspective focuses on syntactic and semantic aspects of chunks and its most important criteria of chunk identifications and classifications are compositionality and frozenness/fixedness. Psycholinguistic perspective focuses on the psychological salience of chunks and its most important criterion of identifying a chunk is whether it is processed as a whole unit. Corpus linguistic perspective focuses on frequencies of chunks and its identification of chunks is done on the basis of frequency counts. All of the three perspectives have tapped into the phenomenon of multi-word combinations and yielded fruitful findings on the use of chunks in aspects of quantitative, syntactic, semantic, functional, and psychological features; however, each has their pros and cons

Linguistic Truth Values Lattice Implication Algebras

In order to study uncertainty reasoning and automatic reasoning with linguistic terms, in this paper, the set of basic linguistic truth values and the set of modifiers are defined, according to common sense; partially orderings are defined on them. Based on it, a lattice implication algebra model L18 of linguistic terms is built; furthermore, its some basic properties are discussed.

Prediction of rock mass rating using fuzzy logic and multi-variable RMR regression model

Rock mass rating system （RMR） is based on the six parameters which was defined by Bieniawski （1989） [1]. Experts frequently relate joint and discontinuities and ground water conditions in linguistic terms with rough calculation. As a result, there is a sharp transition between two modules which create doubts. So, in this paper the proposed weights technique was applied for linguistic criteria. Then by using the fuzzy inference system and the multi-variable regression analysis, the accurate RMR is predicted. Before the performing of regression analysis, sensitivity analysis was applied for each of Bieniawski parameters. In this process, the best function was selected among linear, logarithmic, exponential and inverse func- tions and finally it was applied in the regression analysis for construction of a predictive equation. From the constructed regression equation the relative importance of the input parameters can also be observed. It should be noted that joint condition was identified as the most important effective parameter upon RMR. Finally, fuzzy and regression models were validated with the test datasets and it was found that the fuzzy model predicts more accurately RMR than reression models.