Cultivation of English Language Sense:A Study from the Perspective of Implicit Learning in SLA

The concept of language sense has never failed to arouse interest among scholars in recent decades at home and abroad.Many scholars point out that language sense is an important competence which helps facilitate learning a language.It bears much connection with learners’acquisition of a language.Another concept,implicit learning,which is proved effective and has been applied in second language acquisition(SLA),is consistent with language sense in terms of its learning mechanism.In this sense,cultivation of English language sense can be theoretically supported by implicit learning and pedagogical implications can be derived accordingly.

DEVIATION IN THE SENSE OF THE CREATIVE ASPECT OF LANGUAGE USE

Winds stampeding the fields (Ted Hughes) (1) He sang his didn’t he danced his did (E. E. Cummings) (2) Now as I was young and easy under the apple boughs About the lilting house and happy as the grass was green (Dylan Thomas) (3) That spanieled me heels,to whom I gave their wishes. (William Shakespeare, Anthony

Evaluating the role of large language models in inflammatory bowel disease patient information

This letter evaluates the article by Gravina et al on ChatGPT’s potential in providing medical information for inflammatory bowel disease patients.While promising,it highlights the need for advanced techniques like reasoning+action and retrieval-augmented generation to improve accuracy and reliability.Emphasizing that simple question and answer testing is insufficient,it calls for more nuanced evaluation methods to truly gauge large language models’capabilities in clinical applications.

Reflections on Conducting Kindergarten Language Education Activities Based on Children’s Literature

In early childhood education,language education is a crucial component,yet in kindergarten teaching,there often exists issues such as“emphasis on knowledge and neglect of practice.”To address this problem,teachers need to incorporate children’s literature in a reasonable manner to create a conducive environment for language education for young children.This article analyzes and discusses the significance of integrating children’s literature into kindergarten language education activities,and proposes strategies for addressing the current issues in kindergarten language education activities and conducting them based on children’s literature.

Golding's Language View in Lord of the Flies and Darkness Visible

Beyond the stories,Golding spends much effort on an issue called"impotence of language"in his works,especially Lord of the Flies and Darkness Visible.Thus Golding's language view is worthwhile to research.With help of Lacan's theory of signifier and signified,this paper made a primary glance about Golding's language view within the two novels.

Weaknesses of Chomsky's Theory of Language

As seemingly persuasive as Chomsky's theory is, it is significantly flawed in four aspects: 1. ignoring a much fundamental creative force in early infancy; 2. equation of first-language learning with second-language learning; 3. methodology; 4. employment of terms.

S.D. Krashen's Language Acquisition Theory and the Teaching of Business English Reading

This paper first illustrates S.D. Krashen's language acquisition theory, especially two of his five hypotheses as well as the guidance of these theories towards the teaching of business English reading for students majored in business English.

The Shaping of Woman's Language and Its Therapeutic Function through Images in "The Yellow Wallpaper"

In Perkins' "The Yellow Wallpaper",the wallpaper acts as woman's language.Through this interaction between the wallpaper and the heroine in in this story,Gilman displays to us women's embarrassing status in family and society,and leaves the reader to think of woman's future.

Infant Cry Language Analysis and Recognition:An Experimental Approach

Recently, lots of research has been directed towards natural language processing. However, the baby's cry, which serves as the primary means of communication for infants, has not yet been extensively explored, because it is not a language that can be easily understood. Since cry signals carry information about a babies' wellbeing and can be understood by experienced parents and experts to an extent, recognition and analysis of an infant's cry is not only possible, but also has profound medical and societal applications. In this paper, we obtain and analyze audio features of infant cry signals in time and frequency domains.Based on the related features, we can classify given cry signals to specific cry meanings for cry language recognition. Features extracted from audio feature space include linear predictive coding(LPC), linear predictive cepstral coefficients(LPCC),Bark frequency cepstral coefficients(BFCC), and Mel frequency cepstral coefficients(MFCC). Compressed sensing technique was used for classification and practical data were used to design and verify the proposed approaches. Experiments show that the proposed infant cry recognition approaches offer accurate and promising results.

Word sense disambiguation using semantic relatedness measurement

All human languages have words that can mean different things in different contexts, such words with multiple meanings are potentially “ambiguous”. The process of “deciding which of several meanings of a term is intended in a given context” is known as “word sense disambiguation (WSD)”. This paper presents a method of WSD that assigns a target word the sense that is most related to the senses of its neighbor words. We explore the use of measures of relatedness between word senses based on a novel hybrid approach. First, we investigate how to “literally” and “regularly” express a “concept”. We apply set algebra to WordNet’s synsets cooperating with WordNet’s word ontology. In this way we establish regular rules for constructing various representations (lexical notations) of a concept using Boolean operators and word forms in various synset(s) defined in WordNet. Then we establish a formal mechanism for quantifying and estimating the semantic relatedness between concepts—we facilitate “concept distribution statistics” to determine the degree of semantic relatedness between two lexically expressed con- cepts. The experimental results showed good performance on Semcor, a subset of Brown corpus. We observe that measures of semantic relatedness are useful sources of information for WSD.

Anderson's Cognitive Theory and Learning Strategy Studies in Second Language Acquisition

Second language acquisition can not be understood without addressing the interaction between language and cognition. Cognitive theory can extend to describe learning strategies as complex cognitive skills. Theoretical developments in Anderson’s production systems cover a broader range of behavior than other theories, including comprehension and production of oral and written texts as well as comprehension, problem solving, and verbal learning.Thus Anderson’s cognitive theory can be served as a rationale for learning strategy studies in second language acquisition.

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%.

The Space of Bounded p(·)-Variation in Wiener’s Sense with Variable Exponent

In this paper, we proof some properties of the space of bounded p(·)-variation in Wiener’s sense. We show that a functions is of bounded p(·)-variation in Wiener’s sense with variable exponent if and only if it is the composition of a bounded nondecreasing functions and h?lderian maps of the variable exponent. We show that the composition operator H, associated with , maps the spaces into itself if and only if h is locally Lipschitz. Also, we prove that if the composition operator generated by maps this space into itself and is uniformly bounded, then the regularization of h is affine in the second variable.

The Construct of the Story Continuation Writing Task: Insights From the China’s Standards of English Language Ability

Although the story continuation writing task(SCWT) has attracted much research attention, few studies have investigated the construct of the task, particularly with respect to which language competence it focuses on. In addition, although some studies have demonstrated that China’s Standards of English Language Ability(CSE) provides comprehensive insights into the development of Chinese learners’ English language proficiency, little research has investigated the relationship between CSE and SCWT. This study drew upon the CSE to develop an SCWT language use inventory to address the above research gaps. A total of 358 high school students were asked to complete the questionnaire, of which 277 valid responses were analyzed. Exploratory factor analysis(EFA) on the CSE-based questionnaire revealed the presence of six factors, namely language correctness, language variety, task planning, connecting-and-generating, selecting-andmining, and organizing. The strategy of connecting-and-generating was the only significant predictor of the learners’ SCWT scores. The paper also discusses the findings relating to the SCWT rating and other integrated writing tasks.

An Analysis of Michael Long’s Interaction Hypothesis in Second Language Acquisition

The Interaction Hypothesis,which was first advanced by Michael Long,is considered as a further supplement or extension of the Input Hypothesis in the field of second language acquisition. This paper explains the main claims of Michael Long's Interaction Hypothesis,the three steps to study how input and interaction affect the acquisition of a second language,and the importance of the interactional modifications applied by both participants of the interaction. Emphasis is placed on the evaluation of the theory as well as its relation to second language teaching,with many researchers' findings and arguments discussed as supporting evidence. It aims to help the effective application of this theory in second language teaching.

Women's Language or Powerless Language:A Study of Couples' Talk

The purpose of this essay is to study whether the linguistic behaviour of adult women using hedging and tags as indicative of an intrinsically tentative gender identity or of the effects of male dominant position through analyzing daily conversations of the heterosexual couples.The small scale study employs the methodology,namely,recording spontaneous and natural spoken conversation from authentic interaction with the permission of the ten male-female couples.Digital record pen with an omnidirectional microphone are placed in the central living area of each couple's home.Then discourse analysis provides data making it possible to support Fishman's claim that women use tag questions and 'you know' not because women are not being really sure of themselves,or are looking to the addressee for confirmation,but because men in a dominant position often refuse to take responsibility for the smooth conduct of interpersonal relations,women use tag questions and 'you know' to elicit and maintain conversations.

A Semiotic Analysis of Programming Languages

The paper presents an analysis of computer programming languages based on the semiotics of Charles S. Peirce. The author describes how such languages could evolve in order to achieve some of the expressive characteristics of natural languages. This description evinces otherwise unnoticed differences between natural languages and programming languages, showing that Peircean semiotics is an efficient analysis tool. This suggests further research on the technical features needed to implement an easier way to program computers.

Word Sense Disambiguation in Information Retrieval

The natural language processing has a set of phases that evolves from lexical text analysis to the pragmatic one in which the author’s intentions are shown. The ambiguity problem appears in all of these tasks. Previous works tries to do word sense disambiguation, the process of assign a sense to a word inside a specific context, creating algorithms under a supervised or unsupervised approach, which means that those algorithms use or not an external lexical resource. This paper presents an approximated approach that combines not supervised algorithms by the use of a classifiers set, the result will be a learning algorithm based on unsupervised methods for word sense disambiguation process. It begins with an introduction to word sense disambiguation concepts and then analyzes some unsupervised algorithms in order to extract the best of them, and combines them under a supervised approach making use of some classifiers.

Random Crank-Nicolson Scheme for Random Heat Equation in Mean Square Sense

The goal of computational science is to develop models that predict phenomena observed in nature. However, these models are often based on parameters that are uncertain. In recent decades, main numerical methods for solving SPDEs have been used such as, finite difference and finite element schemes [1]-[5]. Also, some practical techniques like the method of lines for boundary value problems have been applied to the linear stochastic partial differential equations, and the outcomes of these approaches have been experimented numerically [7]. In [8]-[10], the author discussed mean square convergent finite difference method for solving some random partial differential equations. Random numerical techniques for both ordinary and partial random differential equations are treated in [4] [10]. As regards applications using explicit analytic solutions or numerical methods, a few results may be found in [5] [6] [11]. This article focuses on solving random heat equation by using Crank-Nicol- son technique under mean square sense and it is organized as follows. In Section 2, the mean square calculus preliminaries that will be required throughout the paper are presented. In Section 3, the Crank-Nicolson scheme for solving the random heat equation is presented. In Section 4, some case studies are showed. Short conclusions are cleared in the end section.