一种基于E-Chunk的机器翻译模型

提出了一种基于E-Chunk的多引擎机器翻译模型.该模型以中心语驱动的分析技术为基础,通过词汇相似特征计算E-Chunk的匹配代价,自底向上地完成最优E-Chunk覆盖的构造.并以E-Chunk为基本翻译单元完成机器翻译过程初步的实验结果显示,该方法在面向领域文本的自动翻译方面是有效的.

基于连接文法的双语E-Chunk获取方法

提出了一种面向机器翻译领域的扩展Chunk概念·E Chunk是在Chunk概念基础上基于语义惟一性的一种扩展形式 ,其具体形态表现为具有无歧义性、复现性、可嵌套性、内部结构句法自足性的无歧义机器可翻译单元·讨论了使用连接文法的连接因子进行英语E Chunk的识别技术和双语E Chunk获取方法·双语E Chunk库的建立必将为基于Chunk的机器翻译技术提供极大的支持·

基于E-Chunk的问句实例分析系统

分析中文问句的结构特点,研究处理问句需要解决的问题,提出一种基于语义块实例分析问句的新方法.采用语义块向量表示问句实例,比较输入问句和问句实例库中问句实例的相似性.在语义块向量结构相似的基础上计算问句的相似度.测试结果表明,该方法可行,准确率和召回率可分别达到82.05%和91.95%,该方法对问句分析系统的设计具有借鉴意义和继续深入研究的价值.

基于状态机的HTTP Chunked流并发解析

某些流媒体服务器需要对HTTP Chunked编码数据流进行并发解析,朴素静态解析算法难以应用于高效灵活的事件驱动并发模型,且会造成长延迟和多次数据拷贝,导致内存和计算资源开销都较高。针对上述问题,提出一种基于有限状态机的解析策略。将一次接收和一次解析操作构成一个任务片,从而适应事件驱动模型,对收到的数据包进行即时处理和释放,不需要缓存整个HTTP报文,减少一次内存拷贝开销。在数据处理过程中,通过有限状态机保存解析状态,能够在任务片退出后恢复之前的解析状态,从而解决事件驱动模型下的字段断裂问题。实验结果表明,相比于静态解析算法,该策略能够明显地降低解析过程的处理时间和占用的内存。

基于Chunk-CRF的情感问答研究

相对于事实性问答系统而言,观点或情感问答系统的研究除了需要考虑观点持有者及情感倾向性等与情感相关问题以外,其难点还在于答案形式更复杂更分散.从百度知道人工搜集了大量的情感问题,并根据情感问题的特征,统计并归纳了五大情感问题类型.问题分类模式与传统事实性问答系统不同,不能仅仅根据疑问词对其进行分类,还需要考虑到观点以及受众的反应.问题分类使用基于Chunk的CRF模型与规则相结合的情感问题分类方法.在答案抽取时结合组块识别的结果和情感的倾向性,并根据情感问题类型的不同采取不同的方法以获取答案.实验结果表明了评价体系的有效性.

A Cognitive Study of Metaphor Chunks in News English

This paper aims to demonstrate the pervasiveness of metaphor chunks in News English and introduce effective ways of understanding themcorrectly from the perspective of cognitive linguistics.Considering the difficulty in making out the accurate meaning of metaphor chunks in News Eng-lish,some translation strategies have also been proposed in hopes that it will benefit readers in their understanding and appreciation of News English.

Multimodal Design of Lexical Chunks Teaching

Based on the concepts of Lexical Chunks and Multimodal Teaching,this paper focuses the input source of English vocabulary learning,integrating the advantages of Lexical Approach with Multimodal Teaching.As a new teaching exploration of English vocabulary,the teaching practice in classroom has shown that teachers should make full and reasonable use of various teaching means and resources to achieve multimodal teaching of lexical chunks,which is helpful to promote students to learn vocabulary quickly and effectively,and improve students'English language competence and performance.

Probability Theory Predicts That Chunking into Groups of Three or Four Items Increases the Short-Term Memory Capacity

Short-term memory allows individuals to recall stimuli, such as numbers or words, for several seconds to several minutes without rehearsal. Although the capacity of short-term memory is considered to be 7 &#177?2 items, this can be increased through a process called chunking. For example, in Japan, 11-digit cellular phone numbers and 10-digit toll free numbers are chunked into three groups of three or four digits: 090-XXXX-XXXX and 0120-XXX-XXX, respectively. We use probability theory to predict that the most effective chunking involves groups of three or four items, such as in phone numbers. However, a 16-digit credit card number exceeds the capacity of short-term memory, even when chunked into groups of four digits, such as XXXX-XXXX-XXXX-XXXX. Based on these data, 16-digit credit card numbers should be sufficient for security purposes.

Chunk Parsing and Entity Relation Extracting to Chinese Text by Using Conditional Random Fields Model

Currently, large amounts of information exist in Web sites and various digital media. Most of them are in natural lan-guage. They are easy to be browsed, but difficult to be understood by computer. Chunk parsing and entity relation extracting is important work to understanding information semantic in natural language processing. Chunk analysis is a shallow parsing method, and entity relation extraction is used in establishing relationship between entities. Because full syntax parsing is complexity in Chinese text understanding, many researchers is more interesting in chunk analysis and relation extraction. Conditional random fields (CRFs) model is the valid probabilistic model to segment and label sequence data. This paper models chunk and entity relation problems in Chinese text. By transforming them into label solution we can use CRFs to realize the chunk analysis and entities relation extraction.

Lexical Chunks as Scaffolding in College English Teaching

Lexical chunks minimize the language learners'burden of memorization and play a very important role in saving language pro cessing efforts so as to improve the learners'language fluency,appropriacy and idiomaticity.Lexical chunks are taken as"scaffolding"in college English teaching to effectively enhance learners'language proficiency.

An Analysis on Lexical Chunk and the Teaching Method

As a new way to learn English, lexical chunk is very significant. This thesis discusses problems that Chinese English learners met in learning lexical chunks, including overgeneralization, incorrect analogies, Chinese expression used in translation and improper learning strategies. This thesis introduces some new ways to learn lexical chunks in order to strengthen students' sense of lexical chunk.

Application of Lexical Chunks in Teaching College English Writing

Lexical chunks,as one of the most important units with the feature of both grammar and vocabulary in a language use,as the smallest unit of language input,memory,storage and output,has a very broad application prospect in teaching college English writing.Lexical chunk is semi-refined language,which can be used as a whole stored in the memory,and can be extracted directly in use.Lexical chunks can effectively improve processing efficiency of the language resource information,alleviate learners ' timed writing pressure,overcome the influence of negative transfer of native language,to improve the students' writing fluency,accuracy and vitality.

An Analysis of Speech Structure and Perception Processes and Its Effects on Oral English Teaching Centering around Lexical Chunks

The paper tries to analyze speech perception in terms of its structure, process, levels and models. Some problems concerning speech perception have been touched upon. The paper aims at providing some reference for oral English teaching and learning in the light of speech perception. It is intended to arouse readers' reflection upon the effect of speech perception on oral English teaching.

Speech Perception and its Implication for Speaking Teaching Based on Lexical Chunks Approach

This article presents a tentative analysis of the preliminary stage of speech perception, primarily concerning its process,complexity and theory models. Some problems related to language perception have been as well explored. Finally some suggestions based on the present investigations have been proposed to the present English speaking teaching based on lexical chunks.

Effect on English Output Competence by Exerting Lexical Chunks Approach in Autonomous Learning Model Research

English language skill is an important part of the comprehensive linguistic competence for college students.Especiallythe language output competence by students Autonomous Learning.During the 70 s of the last century,Becker came up with theterm and and later put forward his Lexical Chunks.Since then,it has been researched increasingly and paid more and more atten-tion to due to the fact that lexical chunks possess the features of both vocabulary and grammar.Teachers should exert lexicalchunks approach,consciously raise students' awareness of lexical chunks,and design various instructional activities based on dif-ferent teaching contents to improve students' language output competence.In this paper,the author carries out an experiment onthe college students from two classes of the same level in Grade one.And compared with the experimental class itself or with thecontrol class,found the students in experimental class have made far greater progress in English speaking and writing.

The Present Situation and Prospect of the Study of Chunks in Second Language

Chunk has been one of the most important subjects in the field of both native and second language acquisition in recent years. This article reviews the present situation of chunk research at home and abroad, and analyses some of the problems and deficiencies of the research, lexical chunks through to the research of chunks in recent years both at home and abroad.

即食调味罗非鱼块制备工艺研究

[目的]以新鲜罗非鱼为原料制备即食罗非鱼块产品。[方法]通过单因素及正交试验以成品感官品质为评价指标对即食调味罗非鱼块的腌制去腥、调味处理、高温烘制等加工工艺进行研究。[结果]最佳工艺为:食盐4%、白酒3%、姜12%、蒜12%、葱12%腌制30分钟,食盐3%、花椒粉3%、辣椒粉6%调味30分钟,在65℃条件下烘制2h取出冷却后放冰箱冷藏24小时,65℃下复烘1h,最后刷油在160℃条件下烘烤10min。[结论]按此工艺生产的即食调味罗非鱼鱼块具有咸淡适中、肉质软硬恰当、味道鲜香麻辣的口感。

国内外二语语块研究:热点、演进与展望——基于CiteSpace的知识图谱分析

使用CiteSpace 5.7.R5,对1998−2022年国内外核心期刊中的二语语块研究论文进行知识图谱分析,以厘清核心主题和研究前沿,对比国内外研究的异同,并分析未来发展趋势。研究发现,国内外二语语块研究呈现多领域、跨学科、稳步发展的特点,并以二语习得与教学为主要聚焦点,近年来具有语料库分析法占主导地位的研究趋势。国内外区别在于:国外研究热点层层递进、推陈出新,更注重对学习者个体差异、辞典编纂和文本标注与分类以及语块的心理表征与加工优势的探讨,且计算语言学、心理语言学以及神经语言学相结合的研究范式呈上升趋势;国内研究热点相对孤立、缺乏传承性,仍停留于探索语块的使用特征和测量学习者语块水平的阶段。建议国内研究者进一步开展针对二语语块研究的跨学科交叉验证,以增加二语语块研究的广度和深度。