英语课文整体教学是培养阅读能力和学习语言知识的统一

在英语教科书中,集语篇信息和语言知识为一身的最佳栽体莫过于课文了,侧重培养阅读能力,并使学生获得一定的自学能力,进行英语课文整体教学,培养学生阅读能力和学习语言知识的统一.     

“脱离原语语言外壳”在英汉商务翻译中的应用

本文旨在介绍释意理论之核心概念———＂脱离原语语言外壳＂,并结合商务实例,试从词汇、句法、语篇、文化信息等四个层面,就＂脱离原语语言外壳＂在英汉商务翻译中的应用进行初步的探讨。     

试论文化对跨文化语言交际的制约作用

本文从词语、句子、篇章三个层级论述了文化是如何制约跨文化语言交际的:某一文化通过对某一词语、句子、语篇赋予一个整个语言群体约定俗成的非自然联想意义,把它变成一种非理性的“形象概念”,带上了明显的该民族文化色彩,使它成为这一文化这一语言的这一个词语、句子、语篇,它们的这种非自然联想意义在跨文化语言交际中不为另一文化所理解,制约交际。因此,文章最后提出,在语言教学中要加强文化教育。     

试论语篇教学在专业英语精读教学中的应用

语篇是由语句组成的表达了多层意思的具有内在逻辑相关性的结构系统。本文从语篇视角出发,结合实例探讨了语篇教学在专业英语精读教学中的重要性,及教学实践对培养学生的语言综合应用能力的作用。     

美国前总统布什就职演说中《圣经》语言的批评性分析

批评语篇分析的主要目的是揭示语言、权力和意识形态之间的关系,本文从语篇、常识和意识形态之间的关系来分析《圣经》语言在美国前总统布什就职演说中如何通过语言、权势和意识形态以维护统治。     

通过高职高专英语精读课运用语篇分析教学法培养学生语言交际能力

作者在通过语篇分析提高学生的交际能力中,把精读课分为三个步骤一一准备阶段、初级阶段和高级阶段.这样就要求学生深层次理解课文的语篇结构,从而把语篇分析、语言知识和交际能力的培养结合起来.     

通过高职高专英语精读课运用语篇分析教学法培养学生语言交际能力

作者在通过语篇分析提高学生的交际能力中，把精读课分为三个步骤一一准备阶段、初级阶段和高级阶段。这样就要求学生深层次理解课文的语篇结构，从而把语篇分析、语言知识和交际能力的培养结合起来。     

试论语篇教学枉专业英语精读教学中的应用

语篇是由语句组成的表达了多层意思的具有内在逻辑相关性的结构系统。本文从语篇视角出发，结合实例探讨了语篇教学在专业英语精读教学中的重要性，及教学实践对培养学生的语言综合应用能力的作用。     

试用主位推进理论对巴金的《灯》进行语篇分析

本文主要在分析语言基本功能及人们在分析语言时所采用的主要方法的基础上，引出主位、述位、语篇等有关语篇分析的基本概念，进而提出通过主位推进对语篇进行分析的理论。同时指出主位推进不仅适用于对英文篇章的分析，也适用于对汉语语篇的分析，并以巴金的《灯》为例具体说明如何利用主位推进对语篇进行分析。     

文化差异与旅游语篇的翻译

语言是文化的载体,而旅游语篇更具有文化性。它是一种典型的负载浓厚文化信息的语篇。在旅游语篇的翻译中,文化因素导致的障碍是翻译中的突出问题。本文主要从词汇和语篇两个方面来探讨文化因素导致的翻译障碍。     

Using lexical chains for keyword extraction

Keywords can be considered as condensed versions of documents and short forms of their summaries. In this paper, the problem of automatic extraction of keywords from documents is treated as a supervised learning task. A lexical chain holds a set of semantically related words of a text and it can be said that a lexical chain represents the semantic content of a portion of the text. Although lexical chains have been extensively used in text summarization, their usage for keyword extraction problem has not been fully investigated. In this paper, a keyword extraction technique that uses lexical chains is described, and encouraging results are obtained.     

Unified benchmark for zero-shot Turkish text classification

Effective learning schemes such as fine-tuning, zero-shot, and few-shot learning, have been widely used to obtain considerable performance with only a handful of annotated training data. In this paper, we presented a unified benchmark to facilitate the problem of zero-shot text classification in Turkish. For this purpose, we evaluated three methods, namely, Natural Language Inference, Next Sentence Prediction and our proposed model that is based on Masked Language Modeling and pre-trained word embeddings on nine Turkish datasets for three main categories: topic, sentiment, and emotion. We used pre-trained Turkish monolingual and multilingual transformer models which can be listed as BERT, ConvBERT, DistilBERT and mBERT. The results showed that ConvBERT with the NLI method yields the best results with 79% and outperforms previously used multilingual XLM-RoBERTa model by 19.6%. The study contributes to the literature using different and unattempted transformer models for Turkish and showing improvement of zero-shot text classification performance for monolingual models over multilingual models.     

自动文摘综述

本文回顾了自动文摘技术的发展历史,介绍了三种主要的文摘方法,即基于文本物理信息分析的方法、基于自然语言理解的方法以及基于文本结构分析的方法。同时指出了自动文摘技术目前存在的问题,包括摘要内容冗余的问题、摘要的语言缺乏连贯性的问题等,并探讨了文摘技术未来的发展方向。     

Semantic text classification: A survey of past and recent advances

Automatic text classification is the task of organizing documents into pre-determined classes, generally using machine learning algorithms. Generally speaking, it is one of the most important methods to organize and make use of the gigantic amounts of information that exist in unstructured textual format. Text classification is a widely studied research area of language processing and text mining. In traditional text classification, a document is represented as a bag of words where the words in other words terms are cut from their finer context i.e. their location in a sentence or in a document. Only the broader context of document is used with some type of term frequency information in the vector space. Consequently, semantics of words that can be inferred from the finer context of its location in a sentence and its relations with neighboring words are usually ignored. However, meaning of words, semantic connections between words, documents and even classes are obviously important since methods that capture semantics generally reach better classification performances. Several surveys have been published to analyze diverse approaches for the traditional text classification methods. Most of these surveys cover application of different semantic term relatedness methods in text classification up to a certain degree. However, they do not specifically target semantic text classification algorithms and their advantages over the traditional text classification. In order to fill this gap, we undertake a comprehensive discussion of semantic text classification vs. traditional text classification. This survey explores the past and recent advancements in semantic text classification and attempts to organize existing approaches under five fundamental categories; domain knowledge-based approaches, corpus-based approaches, deep learning based approaches, word/character sequence enhanced approaches and linguistic enriched approaches. Furthermore, this survey highlights the advantages of semantic text classification algorithms over the traditional text classification algorithms.     

劳技教学渗透科技教育培养学生创造力研究

在应试教育的环境下,劳动与技术课程由于缺乏一定的科学评价机制,一直被边缘化,同时学校的教育也是重文化课程,轻科技教育,邓小平同志提出的科教兴国也渐渐地变成了一句空话,学生的创造力被束缚。因此作为一名从事劳技教学和科技教育的教师,需从自身做起,在劳技教学渗透科技教育培养学生创造力。     

让情感体验徜徉在语言品味中

语文教学是以语言引领为过程,以情感为目标的教学,语言与情感的融合、言意共生的理想境界是每堂语文课所必须具备的基本规范,为了更好地把握文与情的关系,本文从文本解读和课堂建构两方面进行探索,实现语言与情感的同构共生,文心与人心交融。     

结构化语言知识库在自然语言处理中的应用

本文讨论了知识在自然语言处理中的作用和现有系统的局限,引入一种全文结构知识库的概念并探讨了此知识库在自然语言处理中的诸多应用问题。     

范戴伊克的语境论思想

荷兰著名语言学家范戴伊克近40年来在诗学和符号学、语言和文学、句法和话语、行为和语言、话语和认知之间一直致力于话语与语境相关研究,涉及语言学、社会学、人类学、心理学等诸多领域,融合了多学科、形成多视角交叉态势。文章梳理并总结了戴伊克语境思想的提出和特点,对读者全面理解戴伊克的语境思想具有重要学术意义。     

跨文化生物医学文本的语言学方法和应用

本文介绍了在生物学英文文本纷繁芜杂的当今．面对中英文本的文化差异,生物医学自然语言处理fNatu一0aILanguageProcesS{ngforB10]ogy,B1ONLP）的基本概念和方法。归纳总结了B1oNLP在挖掘生物医学文献信息中的重要方面。通过研究实例分析了常见的以“词”、“句”、“篇”为语言单位的分析方法并指出这些方法的局限性,最后展望了生物医学计篮语言堂研窜抬撼