跨语言文献相似度的分析方法

对不同语言的句对齐文献资料进行分析,提出了基于多语主题模型的跨语言文献相似度的计算方法.首先,对收集整理的不同语言(中文、英文、韩文)文献构建数据模型,通过分词、分词结果修正及选择、词权重计算等预处理工作构造词项-文档矩阵.其次,建立多语主题语义空间,将译成3种不同语言的文献映射到语义空间,在语义空间中每一主题都由3种语言构成.最后,通过其语义空间中对应的主题计算比较不同语言间的文献相似度.实验结果显示,不同语言之间的文献相似度可以直接在语义空间中计算,且相似度计算的准确性在90%以上,验证了本文方法在跨语言文献相似度计算时的有效性.     

MulTran多语言机器翻译系统实现的语言学基础

MulTran是一个以实用化为目标的多语言机器翻译系统。该系统的特点是以一个统一的翻译处理程序控制运行四个语言翻译系统。该系统的技术核心是多功能逻辑运算分析技术,该技术的实现是靠建立一系列的功能函数,而这些功能函数是建立在诸如线性、离散性、递归性、层次性等自然语言的特性的基础之上的。     

The Construction of the Multilingual Internet: Unicode,Hebrew, and Globalization

This paper examines the technologies that enable the representation of Hebrew on websites. Hebrew is written from right to left and in non‐Latin characters, issues shared by a number of languages which seem to be converging on a shared solution—Unicode. Regarding the case of Hebrew, I show how competing solutions have given way to one dominant technology. I link processes in the Israeli context with broader questions about the ‘multilingual Internet,’ asking whether the commonly accepted solution for representing non‐Latin texts on computer screens is an instance of cultural imperialism and convergence around a western artifact. It is argued that while minority languages are given an online voice by Unicode, the context is still one of western power.     

Introduction to EuroWordNet

This paper gives a global introduction to the aims and objectives of the EuroWordNet project, and it provides a general framework for the other papers in this volume. EuroWordNet is an EC project that develops a multilingual database with wordnets in several European languages, structured along the same lines as the Princeton WordNet. Each wordnet represents an autonomous structure of language-specific lexicalizations, which are interconnected via an Inter-Lingual-Index. The wordnets are built at different sites from existing resources, starting from a shared level of basic concepts and extended top-down. The results will be publicly available and will be tested in cross-language information retrieval applications.     

Multilingual Document Production From Support for Translating to Support for Authoring

In this paper, we look at the current scenario in multilingual documentation generation and the types of tools currently being used in support of the translation task, and discuss their shortcomings. We examine emergent trends in the document industry, observing a reorganisation of the workflow which mirrors a shift of attention from translating to authoring and from the ergonomics of post-editing the target text to the ergonomics of producing the source text. We argue that these trends invite the design and development of new tools for the task of producing multilingual texts, and that multilingual generation provides the appropriate technology, shifting attention to an even earlier stage in the authoring process, that of specifying the semantics of the text to be produced. We describe a prototype system which exploits this technology to meet the expressed needs of authors and translators by supporting them in the drafting of multilingual instructions. We suggest that, in the future, a single platform to support multilingual documentation should integrate translation-oriented tools and generation-based tools to be employed as appropriate by different types of users (translators and authors) in different circumstances.     

LINUX下维、哈、柯文多语种图形化处理平台的设计与实现

针对维吾尔文字、哈萨克文字、柯尔克孜文字(以下简称“维哈柯文”)的特点以及进行维哈柯文、西文等多语种混合处理时的特殊需求,本文通过对Linux的I18N体系中NLS(National Language Support)研究分析,提出了基于Linux的多语种图形化处理平台的设计目标与总体架构。该平台由维哈柯文本地化环境、维哈柯文显示、自适应维哈柯文输入和维哈柯文打印输出等4个子系统的十余个模块组成。本文详细介绍了各子系统主要模块的实现技术。通过在redhat linux 810、turbolinux上测试表明,该平台在桌面环境、编辑软件、网络浏览、数据库软件、多媒体软件、图形处理软件等应用中均能较好的实现维哈柯文、汉文、西文的混合输入、显示、编辑、排版、打印等功能。     

Applying EuroWordNet to Cross-Language Text Retrieval

We discuss ways in which EuroWordNet (EWN) can be used in multilingual information retrieval activities, focusing on two approaches to Cross-Language Text Retrieval that use the EWN database as a large-scale multilingual semantic resource. The first approach indexes documents and queries in terms of the EuroWordNet Inter-Lingual-Index, thus turning term weighting and query/document matching into language-independent tasks. The second describes how the information in the EWN database could be integrated with a corpus-based technique, thus allowing retrieval of domain-specific terms that may not be present in our multilingual database. Our objective is to show the potential of EuroWordNet as a promising alternative to existing approaches to Cross-Language Text Retrieval.     

基于IMM-IME输入法接口的实现方法

输入法管理器-输入法编辑器(IMM-IME)结构是Windows多语言支持的核心组件之一,为输入法的开发提供了强有力的支持。该文介绍了IMM-IME的构成部件、工作原理及输入法编辑器的具体实现步骤。并结合开发实际,论述了通用输入法接口的概念和实现原则。     

多语言在线机器翻译研究

描述了通过使用外部知识库和基于短语的翻译模型,利用多线程、任务分发的技术实现了一个在线的、高性能的多语言翻译引擎,已初步实现了维汉、哈汉、柯汉三种语言间的翻译。翻译引擎很容易扩展到其他语言对,具有翻译词、短语、句子、文件和网页的功能。