Translation Templates’ acquisition based on Partial parsing

传统的EBMT(Example-BasedMachineTranslation，基于实例的机器翻译)方法是建立在大规模的实例库基础之上的，存在着精确匹配率不高，模糊匹配时产生译文质量较差等缺点。利用翻译模板可以有效的解决翻译实例的数据稀疏问题、简化实例库的规模并提高实例匹配的精确率。因此，本文提出了基于两级翻译模板的方法，提出了两级翻译模板的体系结构并给出了定义，给出了从句子对齐的双语语料库自动抽取两级翻译模板的方法，并设计了利用模板库进行模板匹配的算法。文中首先对机器翻译的重要技术尤其是基于EBMT的翻译方法进行了整理和分析，其次，概括了翻译模板提出的意义，提出了本文翻译模板的定义和研究策略...EBMT ( Example-Based Machine Translation) systems are based on large scale example corpus in traditional, having the defect of low precision of matching. Translation template can solve the problem of data sparsity , large storage space and low matching precision of examples. Therefore, this thesis proposes one method which automatically extracts bi-level translation templates from sentence-aligned...学位：工学硕士院系专业：信息科学与技术学院计算机科学系_计算机应用技术学号：2005130232

Building Chinese- English bilingual Corpus of News Field and Resear ch on Sentence Alignment

摘要: 双语对齐的平行语料库在机器翻译和自然语言处理领域中扮演着非常重要的角色, 它的研究和制作具有重要的理论意义和实用价值, 双语语料的建设十分必要, 其中双语对齐是最基本的环节。文章首先简要介绍了语料库的建设情况, 然后结合主流的句子对齐方法提出并实现了基于词典和语言学信息的英汉双语句子对齐。英文摘要：Abstr act: Bilingual corpus plays a very important part in machine translation and natural language process field, Building and research on it both have theoretic significance and practical value. Therefore, it' s necessary to build a large- scale bilingual corpus. Bilingual Alignment is the basic connection. This paper firstly gives a brief discussion on the construction of the corpus, secondly discuss the main ways of sentence alignment, and finally pose another aligning method base on lexical and language information.基本项目:福建省自然科学基金项目( 2006J0043

低能碳离子束沉积（111）织构的立方SiC薄膜

在硅衬底上利用具有质量选择功能的低能离子束沉积技术沉积碳离子制备出除碳、硅之外无其他杂质元素的纯净的立方SiC薄膜．利用X射线光电子谱、俄歇电子能谱、X射线衍射对样品进行了表征．结果显示常温和400℃制备的样品为非晶结构，在800℃制备的样品由一富碳的表面层和有着良好化学计量比的SiC层组成，碳化硅晶体薄膜是（111）织构的．通过分析可知衬底温度、离子沉积能量和样品保温扩散时间等因素综合在一起对于在硅上沉积SiC薄膜起着重要作用．远远大于TRIM预测厚度的SiC薄膜的获得是高的衬底温度、一定注入能量的碳离子引起的增强扩散以及通道注入效应综合作用的结果

SECS communicating method based on SEMI standard

本发明属于网络通信技术，具体地说是一种基于SEMI标准的SECS通信方法。包括HSMS通信模块实现设备到主机的连接，并通过网络进行数据传输步骤；及通过SECS协议模块进行SECS？II编解码，实施数据收集、设备控制和异常处理步骤。采用本发明可实现半导体工厂的自动化管理，能够满足半导体器件制造过程中的高真空、高洁度、高无尘等特性要求，可使不同的设备控制系统标准化、提高生产效率、降低生产成本

Primary study on grazing rate of Perna viridis on Alexandrium tamarense and its PSP accumulation

塔玛亚历山大藻是一种可产生PSP毒素的海洋微藻,通过室内摄食实验,初步研究了厦门港水产养殖动物翡翠贻贝对塔玛亚历山大藻的滤食率与光照度、温度、藻液浓度等因素的关系,并对比了翡翠贻贝对其它饵料微藻的摄食压力.同时对比了不同细胞密度的塔玛亚历山大藻浓度对翡翠贻贝毒素累积的影响. 【英文摘要】 This paper focused on the effects of temperatures, light intensity, algal cell densities on grazing rates of Perna viridis on Alexandrium tamarense, and grazing pressure of Perna viridis on other microalgae under laboratory conditions, comparison of the effects of different algal cell densities of A . tamarense on accumulation of PSP in Perna viridis was also made.国家海洋局科技司项目(A01201);国家重点基础研究规划973资助项目(2001CB409701

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies