字理析词法在小学中年级阅读教学中的应用

本文论述运用字理析词引导学生理解词语的方法:关注题目,对题眼进行字理解析;结合语境,对关键词进行字理解析;比较换词,对形近词进行字理解析;了解学情,对易错词进行字理解析;把握分寸,避免词语解析复杂化。

字理析词法在文言文教学中运用分析

在文言文中,字词属于基本元素,但是在传统教学模式下,教学效果并不能够达到预期要求。所以为了充分解决该问题,应该以语文规律、特点为切入点,结合造字规律对文言文字词进行梳理与学习。对此,本文阐释字理析词法的内涵,介绍字理析词法在文言文教学中的运用原则,提出文言文教学中字理法的运用策略。

The Verbs of Motion“Ba” （come） and “Hevi” （bring）in Dictionaries of Contemporary Hebrew

We focused in this study on two verbs of motion ba （come） and hevi （bring） used in contemporary Hebrew pointing to a number of semantic shifts occurring in each of them and to categorical shifts that occurred in the verb ha. We conducted a semantic and syntactic analysis of these shifts in which we observed： a change in the syntactic valuation of ba and hevi, the semantic characteristic of the nominal collocations which form their syntactic setting, and the semantic connection between their original and new meanings. The article starts out with a presentation of the original meanings of the two verbs as belonging to the family of concrete verbs of motion. It then presents the semantic shifts each undergoing from designating motion to designating giving, existing, and modality （capability, intent and aspect） and concludes with the categorical shift of the verb ba to impersonal （ロ＂λ∏） and to discourse marker. It is noteworthy that in each of the shifts observed we noticed relation between the meaning stemming from the shift and the original meaning of ba and hevi as verbs of motion. We were able to prove that the original meaning is still echoed both in the semantic and category categorical shifts.

Major factors influencing reading comprehension： A factor analysis approach

The present study attempts to identify the major factors influencing EFL reading comprehension by drawing on the data collected from questionnaire and tests. The findings indicate that reading comprehension is composed of three major components： ＂Schema＂, ＂Vocabulary＂, and ＂Motivation ＆ Purpose＂. These three components are made up of the following six factors respectively： ＂textual schema＂, ＂extra-textual schema＂, ＂vocabulary guessing＂, ＂vocabulary noticing＂, ＂motivation＂ and ＂purpose＂. Among the major components of reading comprehension, the four factors of ＂textual schema＂, ＂vocabulary guessing＂, ＂vocabulary noticing＂ and ＂motivation＂ are significantly correlated with reading comprehension.

Vari-gram language model based on word clustering

Category-based statistic language model is an important method to solve the problem of sparse data.But there are two bottlenecks:1) The problem of word clustering.It is hard to find a suitable clustering method with good performance and less computation.2) Class-based method always loses the prediction ability to adapt the text in different domains.In order to solve above problems,a definition of word similarity by utilizing mutual information was presented.Based on word similarity,the definition of word set similarity was given.Experiments show that word clustering algorithm based on similarity is better than conventional greedy clustering method in speed and performance,and the perplexity is reduced from 283 to 218.At the same time,an absolute weighted difference method was presented and was used to construct vari-gram language model which has good prediction ability.The perplexity of vari-gram model is reduced from 234.65 to 219.14 on Chinese corpora,and is reduced from 195.56 to 184.25 on English corpora compared with category-based model.

MULTILEVEL ANALYSIS OF CHINESE EFL LEARNERS' ERRORS IN THEIR WRITING

This research investigates Chinese intermediate EFL learners' errors in their writing at lexical, syntactical and textual levels based on the theories and researches of vocabulary recognition, error analysis and cohesion in the domain of discourse analysis. Both statistic and linguistic analysis were made to shed light on the learners' most incompetent aspects of the target language. The results show that the learners' greatest difficulty in their writing is grammar, which is followed by use of words and textual cohesion. It is concluded that different linguistic levels display different features of errors and therefore require different treatments.

A SURVEY ON STUDENTS' ATTITUDE TOWARD TEACHING IN LEXICAL APPROACH

Change in approaches to vocabulary teaching and learning is widely advocated in China's EFL teaching. An experimenton teaching vocabulary in lexical approach has been carried out among freshmen in China University of Political Science and Law. This paper gives a report on a survey of students' attitudes toward lexical approach to teaching and learning as well as strategies used to discover and consolidate phrases and expressions, which provides practical and meaningful experience to lexical teaching.

Algorithm Based on Morphological Component Analysis and Scale-Invariant Feature Transform for Image Registration

In this paper, we proposed a registration method by combining the morphological component analysis(MCA) and scale-invariant feature transform(SIFT) algorithm. This method uses the perception dictionaries,and combines the Basis-Pursuit algorithm and the Total-Variation regularization scheme to extract the cartoon part containing basic geometrical information from the original image, and is stable and unsusceptible to noise interference. Then a smaller number of the distinctive key points will be obtained by using the SIFT algorithm based on the cartoon part of the original image. Matching the key points by the constrained Euclidean distance,we will obtain a more correct and robust matching result. The experimental results show that the geometrical transform parameters inferred by the matched key points based on MCA+SIFT registration method are more exact than the ones based on the direct SIFT algorithm.