语言的模糊性同语言的精确性一样，都是自然语言本身所具有的本质属性，它广泛存在于自然语言系统内部以及语言运用的各个层面。
Like exactness, fuzziness is one of the intrinsic features that natural languages have, and it pervasively exists in the inner of the language system and on all levels of language use.
即便如此，在那些依赖于体系架构的领域、内存映射、线程或一些特殊的领域(例如系统管理和自然语言的支持)，它们之间还是有差异的。
Even so, differences can arise in the areas that depend on the architecture, memory maps, threading, or some specific areas like system administration or natural language support.
但我们已经有了一个由结构化的自然语言命令组成的简陋的系统。
Instead, we have the rudimentary systems of structured natural language commands.
Mellish教授说：“这个系统将用一种叫做自然语言生成的技术，将复杂的数据转换成简单的统一理解的文档。
Prof Mellish said: ’The system will use a technique called Natural Language Generation, where complex data is translated into simple and understandable text.
她不是草草几笔的涂抹，而是一门可加以系统分析的实际语言（自然语言）。 她为四大国组成的世界在真实性、可信度上加了不少分。
Because it was not made up squiggles, but an actual language that could be dissected at length, it brought a lot of verismilitude and believability to the world of the Four Nations.
虽然系统也为用户提供一个带有更多选项的高级输入方式，但是系统默认用户添加提醒的方式是直接使用自然语言输入140字符的信息。
Though there's an advanced version with other options, the default way to add a reminder is through a 140 character message typed out in natural language.
例如，我们仍然很难让计算机系统地理解网上的大量自然语言文本。
And for example we're still very far away from having computers systematically understand large volumes of natural language text on the web.
系统分析师可能用自然语言指定计划中的策略作为注释。
Analysts might specify the intended policies as comments in natural language.
这是实现新一代的自然语言理解系统的基础。
This is the foundation of implementing new generation natural language understanding systems.
美国DARPA战略计算计划提出了口语系统研究，即把语音识别和自然语言理解结合起来，并进一步实用化。
The Program of American DARPA Calculation Strategy put forward the research of Spoken English System to integrate phonetic identification and nature language comprehension and put in further practice.
在这篇文章中，我们强调了机器词典对于机器翻译等自然语言处理系统的重要意义。
We emphasize that machine dictionary is important for machine translation systems and other natural language processing systems in this paper.
由于表情符号利用了视觉表现系统，所以与英语这样的自然语言不同，表情符号几乎是普遍公认的。
Unlike natural languages such as English, emoji is almost universally recognisable because it exploits the visual representation system.
自动问答系统是集自然语言处理技术和信息检索技术于一身的新一代智能搜索引擎。
Question Answering (QA) is the next generation of search engine which is related to natural language processing, information retrieval and etc.
构造了一个程序设计与知识库相分离的通用的数据库自然语言接口系统模型。
A universal system model about database natural language interface, which separates the programming from Knowledge-Base is constructed.
针对目前自然语言形式化研究中存在的问题，就歧义性、形式化与系统模型等几个基本问题做了进一步的分析与讨论。
Seeing that problem is present in natural language formalization research, this paper tries to make analysis and discuss for few basic problem on ambiguity and formalization and system model.
根据自然语言理解和网络故障诊断专家系统的特性，提出了一种扩展产生式规则的知识表示方法。
According to the characteristics of natural language understanding and expert system of network fault diagnosis, the extended production rule was presented.
自动问答系统是自然语言处理研究中的一个热门的研究方向，主要集问题分析、信息检索、答案抽取等于一体。
Question answer System is a subject of great topic study orientation in studying natural language processing, mainly including question analysis, information retrieval and answer collection.
它借助简单的图符和自然语言描述系统与用户或外部环境的交互状况。
It describes the interactions between external actors and the system under consideration by simple graphical notation and natural language.
提出一种方法，用以实现自然语言理解系统的自动词汇扩展，以模拟人的词汇学习能力。
This paper presents an approach to the automatic enrichment of lexicon in a natural language understanding system to simulate man's word learning ability.
目前，ATLAS作为一种自然语言在美国和欧洲的各个领域，尤其在航空和电子的设备测试系统中应用广泛。
At present, ATLAS is applied abroad in various domains in USA and Europe, especially in automatic testing equipments of aviation and electronic Industries.
在数据库查询系统中应用自然语言理解技术，设计数据库自然语言查询接口，已成为自然语言研究中最具有广泛应用前景的方向之一。
Using NLU technology in the database query system and designing NLQID (natural language query interface of database) has become one of the most hopeful applied fields in the research on NLU.
本文较全面地介绍了知网，它是一个可用于自然语言处理的知识系统的知网，现己在因特网上公开发布。
The paper presents a full account of how-net, viz. a knowledge system for natural language processing. How-net has been recently released in the Internet.
如何建立一个简单适用的系统词典是自然语言查询系统研究工作的基础和难点之一。
How to build a simple and appropriate system dictionary is one of the foundation and difficulty of our research work.
基于贝叶斯网络的XML文档查询选择模型：用户输入自然语言描述的查询后，系统根据文档集合的结构将其构造成多个结构化查询。
The query selecting model of XML documents on Bayesian network: After user inputs the natural query, system constructs several structured queries according to the structure of the document collection.
在自然语言处理系统的应用过程中，很多系统允许用户自由挂接一部或多部领域词典。
In the applications of Natural Language Processing, many systems allow the users use one or more domain specific lexicons.
从人机交互的角度出发，对面向特定任务域的人机自然语言对话进行了研究，并给出了一个具体的系统结构。
From the point of human-computer interaction, this paper studied the task-oriented dialogue of human-computer, and gave the architecture of a dialogue system.
问答系统通过采用自然语言处理技术，用简洁准确的语言回答用户用自然语言提出的问题。
Question answering system can give users precise answer to the question presented in natural language by using natural language processing technique.
自动问答系统是自然语言理解研究领域中的热门方向，它综合运用了多种自然语言处理技术。
The automatic question and answering system (QA) is a hot research field in natural language understanding, which includes many kinds of NLP technologies.
问答系统是集自然语言处理技术和信息检索技术于一身的新一代智能搜索引擎。
Question answering is the next generation of search engine which is related to natural language processing, information retrieval and etc.
目前的自然语言处理系统大多是基于人类语言的句法、语义理论之上的。
Currently most natural language processing systems are based on syntactic and semantic theories of human language.
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