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.
对自然语言文本的理解，应该把它与一定的情境联系起来。
To understand a Text, we must relate the text with a specified situation.
与信息检索不同，信息抽取直接从自然语言文本中抽取事实信息。
Unlike information Retrieval, information Extraction Systems extract factual information directly from natural language texts.
本文主要介绍了基于自然语言处理的文本水印技术，也即自然语言文本水印技术。
A new technique based on natural language processing was proposed in this paper, that is, natural language watermarking.
机器翻译（MT）就是应用计算机实现从一种自然语言文本到另一种自然语言文本的翻译。
Machine translation(MT) is defined that the text is translated from a language to another language by computer.
信息抽取是指从自然语言文本中识别特定类型的事件或关系的信息，并将这些信息格式化输出。
Information Extraction (ie) is the process of identifying specified types of events or relations in natural language texts, and recording this information in a structured form.
自然语言文本的文本分类分配到一个或多个预定义类别，根据其内容是在许多信息的组织和管理工作的重要组成部分。
Text categorization-assignment of natural language texts to one or more predefined categories based on their content-is an important component in many information organization and management tasks.
自动文本分类技术就是对大量的自然语言文本按照一定的主题类别进行自动分类，它是自然语言处理的一个十分重要的问题。
Automatical text Categorization is categorizing natural language texts according to given topics, which is a very important problem in natural language processing field.
从各种自然语言文本中获取知识是自然语言处理技术的重要应用，能有效地帮助人们搜索、获取知识，具有较大的应用前景。
The acquisition of knowledge from natural language text is a very important application of NLP. This technique has great prospect because it can help people search and acquire knowledge efficiently.
针对互联网上论坛和新闻网站发布的海量自然语言文本，该文设计一个话题识别与跟踪系统，将海量的数据分类整理并聚合形成各个话题。
Topic detection and tracking (TDT) aims to develop a series of technologies for event based information organization, and hierarchical topic detection (HTD) is a new task of it.
文本数据挖掘也不同于常规意义上的数据挖掘，常规数据挖掘是在数据库中发现感兴趣的模式，而文本数据挖掘是从自然语言文本中发现模式。
The difference between regular data mining and text mining is that in text mining the patterns are extracted from natural language text rather than from structured databases of facts.
在对文本进行自然语言处理时，会应用规则和字典。
As the text goes through natural language processing, rules and dictionaries are applied.
因而，规则包含某个“用户需求”的正式和可实现的表达，通常使用自然语言(例如英语)以文本形式进行陈述。
A rule thus embodies a formal, implementable expression of some "user requirement," usually stated in textual form using a natural language (for example, English).
与自然语言相似的文本性规则：通过使用与应用程序相关的词汇表和可定制的文法，把规则表示为适合业务人员阅读的文本。
Natural language-like textual rules: Using an application-specific vocabulary and a customizable grammar, rules are represented as business-friendly text.
每个元素包含对一个特定输入文档，例如电子邮件、problemticket、CRM记录或其他纯文本文档进行的自然语言处理的输出。
Each element contains the output of the natural language processing for one particular input document such as an email, problem ticket, CRM record, or other plain text document.
RelationshipModelingEngine使用自然语言处理和高级的语义分析技术对文本进行分析和分类。
The Relationship Modeling Engine uses natural language processing and sophisticated semantic analysis techniques to analyze and categorize text.
贯穿整个维基的是超文本结构，但在一个给定的页面，在你使用自然语言作出多变命令的范围内，你可以描述所有需要描述的东西。
Across the whole wiki there is a hypertext structure, but on a given page, within the versatility of your command of your natural language, you can say whatever needs to be said.
您必须指定要在哪些文本字段上运行文本分析(自然语言处理)。
You must specify which are the text fields that you want to run through text analysis (natural language processing).
要启用自然语言处理，您必须在字典查找操作符中指定文本语言。
To enable the natural language processing, you have to specify the text language in the dictionary lookup operator.
基于文本的searcher代理通常都内置有某种类型的自然语言处理，在某些情况下，还具有隐性语义索引。
Text-based searcher agents usually have some kind of natural language processing built in and, in some cases, latent semantic indexing.
全文本搜索功能，它在ClearQuestWeb中提供了自然语言搜索功能。
Full-Text Search capability, which provides natural language queries in ClearQuest web.
文本分类是自然语言处理的一个重要研究方向，它可以有效的解决信息杂乱的现象，并有助于用户发现所需的信息。
Text categorization is an important research task of natural language processing, which can efficiently resolve the issue of information chaos and help users to find the required information.
汉语主观性文本是目前自然语言处理中的一个研究热点。
Chinese opinioned-subjective text is a hotspot in the field of natural language processing.
从文本中提取主题串是自然语言处理的重要基础之一。
Subject extraction from a text is very important for natural language processing.
诗歌文本是利用自然语言，按照特殊的原理生成诗义。
Poetic texts make use of natural language and create poetic meaning through special principles.
自然语言检索中的一项重要工作就是对用户提问进行处理，而句法分析既是对用户提问进行处理的必须环节，也是对源文本分析的一个重要方法。
In natural language retrieval, it is an important job to process users 'queries, while syntax analysis is an important method both for users 'queries and for source text analysis.
通过对军事文本的分析，结合自然语言理解的需要，分别设计了常用词字典、动词字典和实例库的数据结构。
By the analysis of military text and the need of NLU, designs the data structure of common word dictionary, verb dictionary and example base.
文本推理在自然语言处理的应用中占有极为重要的位置，本文介绍了基于知网的一种推理方法，该方法以语义网络的形式表示知网中的知识，利用“标记传递”实现推理。
Text inference is central to natural language applications. This paper presents an inference method based on HowNet, which organizes knowledge with semantic net and infers with marker passing.
文本推理在自然语言处理的应用中占有极为重要的位置，本文介绍了基于知网的一种推理方法，该方法以语义网络的形式表示知网中的知识，利用“标记传递”实现推理。
Text inference is central to natural language applications. This paper presents an inference method based on HowNet, which organizes knowledge with semantic net and infers with marker passing.
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