话语分析与翻译教学

在翻译过程中,达到源语语篇同靶语语篇之间的对等是至关重要的。为此,从话语分析角度出发,通过具体实例,分析翻译过程,并试图找寻有效的翻译教学方法。在翻译过程中。师生都应具备语篇和对等的意识。     

越南语视听说教学探析

越南语视听说课程作为越南语专业教学的核心课程之一,对培养学生应用越南语的综合能力至关重要。提高越南语视听说教学质量,是越南语专业教学的一项重要任务。通过越南语视听说教学材料的选择、教师在课堂上如何激发学生兴趣、活跃课堂氛围以及培养学生良好的视听说习惯,以及充分利用第二课堂等几方面的讨论,对越南语视听说教学方法和策略进行探析。     

布朗执政时期英国继续教育政策文本分析

英国是继续教育强国,其继续教育取得的成绩与政府制定的相关政策密不可分。我国继续教育体系与英国具有相似性,分析布朗政府继续教育政策的出台背景、政策目标、主要内容及实施情况,总结其特色,可为我国继续教育改革与发展提供借鉴。     

明本潮州戏文《金花女》宾白疑问句研究

明本潮州戏文《金花女》是研究明代潮汕方言的重要语料,剧本中宾白比较口语化,反映了当时潮汕口语的实际状况,在方言历时材料较少的情况下,是具有很高价值的语言材料,为方言的历时研究提供了一定的线索。通过对剧本中疑问句的统计,考察当时潮汕话中疑问句系统的基本情况,再将其与现代潮汕话进行比较,可以推导出潮汕话疑问句系统的一些发展趋势。     

点校本两唐书特殊标点勘误

专名线“——”和书名线“——”在一般的简体横排本书籍中不出现,点校本“二十四史”中大量存在,是较为特殊的两种标点符号。点校本两唐书在给有关人名、地名、书名和乐舞名等加标点时存在不少差讹,举例加以说明。     

Populist linguistic tone in recent U.S. presidential campaign discourse: a DICTION analysis

ABSTRACT

This study analyzed the tone of public campaign remarks of right- and left-wing populist (Donald Trump and Bernie Sanders, respectively) and right and left-wing non-populist (Mitt Romney and Hillary Clinton, respectively) U.S. presidential candidates using DICTION 7.0. Findings suggest that populists tended to use a linguistic tone that is high in pessimism, group abstractness, and exclusion. Pessimism and group abstractness were positively associated with immigration language in right-wing populist speech. Commonality and “we-ness” were positively associated with populist language in left-wing populist speech.     

Structural Analysis for Replicating Japanese Cultural Property Braids

ABSTRACT

Historic Japanese textiles from over 1000 years ago generally show marked deterioration and only very rare examples show their original forms and much information about textile reproduction has been lost. The replication of textile braids lacks systematic methodology and is still being practiced by only few individual braiding experts. The recreation of original braids as close as possible to original braids is a part of Japan’s intangible cultural heritage. The aim of this study is to clarify the decision-making procedure through which the braiding experts can decipher the original braiding structures. As a preliminary study of this project, interviews of a braid researcher and a replicating expert, Makiko Tada were performed regarding her working practices. It is important to clarify the braiding parameters for structural analysis such as the number of transits and the balance of ridges, and it became clear that the orientation of multiple colored threads plays an important role. The expert’s replicate works were also analyzed using a text-mining statistical technique to clarify the relationship of braiding parameters. The relationship between each braiding parameter and production method such as loop manipulation and Taka-dai became clear. As a result, the process of deciphering the original braid structure has been compiled in simplified workflows, which could contribute to the standardization and improvement in efficiency of replication of cultural property braids.     

网络舆情衍进指数构建与实证分析

[目的/意义]提出和构建网络舆情衍进指数，以描述网络舆情演化过程中常衍生出新的子话题的现象，对于舆情预警、预测具有重要的理论及实践意义。[方法/过程]以文本聚类结果和文本聚类有效性为依据，提出网络舆情衍进的判别标准和舆情衍进指数的构建过程，并以"教科书老赖"这一事件作为样本数据进行实证分析。[结果/结论]所构建的舆情衍进速率指数可以用于描述舆情衍进。在突发期阶段话题舆情衍进指数最高，此后逐渐下降，这一阶段的舆情衍进最为剧烈，子话题的出现呈现爆发性增长；舆情衍进指数在舆情蔓延期内出现阶梯式下降，此后保持为负值，舆情的子话题开始逐渐减少，舆情内容本身由发散转为收敛；进入消散期后，子话题数量趋于稳定。作为舆情衍进速率的测度和舆情衍进的判别方式，舆情衍进指数为舆情监管和舆情预警提供了全新的角度。     

网络招聘文本技能信息自动抽取研究

[目的/意义]针对目前网络招聘文本手工抽取技能信息无法满足大数据量分析要求的问题，提出一种针对大量网络招聘文本的技能信息自动抽取方法。[方法/过程]根据网络招聘文本的特点，利用依存句法分析选取候选技能，然后提出领域相关性指标衡量候选技能，将其融入传统的术语抽取方法之中，形成一种网络招聘文本技能信息自动抽取方法。[结果/结论]实验表明，本文提出的方法能够从网络招聘文本中自动、快速、准确地抽取技能信息。     

A knowledge-based semantic framework for query expansion

Searching for relevant material that satisfies the information need of a user, within a large document collection is a critical activity for web search engines. Query Expansion techniques are widely used by search engines for the disambiguation of user’s information need and for improving the information retrieval (IR) performance. Knowledge-based, corpus-based and relevance feedback, are the main QE techniques, that employ different approaches for expanding the user query with synonyms of the search terms (word synonymy) in order to bring more relevant documents and for filtering documents that contain search terms but with a different meaning (also known as word polysemy problem) than the user intended. This work, surveys existing query expansion techniques, highlights their strengths and limitations and introduces a new method that combines the power of knowledge-based or corpus-based techniques with that of relevance feedback. Experimental evaluation on three information retrieval benchmark datasets shows that the application of knowledge or corpus-based query expansion techniques on the results of the relevance feedback step improves the information retrieval performance, with knowledge-based techniques providing significantly better results than their simple relevance feedback alternatives in all sets.