在自然语言处理中，知识的自动获取一直是一个核心问题。
Automatic acquisition of knowledge is always one of the greatest problem in NLP (natural language process).
在自然语言处理研究中，知识表示、知识获取是核心课题。
The representation and acquisition of knowledge play a key role in studies on information processing and natural language interpretation.
在自然语言处理的研究中，最有希望的应用领域之一是自然语言接口。
Natural language interface is one of the most hopeful applied fields in the research on Natural language Processing.
在自然语言处理的研究中，最有希望的应用领域之一是自然语言接口。
Natural language interface is one of the most hopeful fields in the research on Natural language Processing.
在自然语言处理的基础上进行简单计算并回答相关问题是自动问答的常见类型。
It is a common type of the question answering to carry on simple calculation and reply correlation questions on the basis of nature language processing.
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.
在自然语言处理系统(包括机器翻译系统)中，语法、语义信息词典是必不可少的构件。
In any NLP systems, including that of MT, syntactic and semantic information dictionary is an essential component.
辅助汉语学习研究作为一个重要的研究领域，已经在自然语言处理领域激发起越来越多人的兴趣。
As one of the important research topics, computer-aided Chinese learning is attracting more and more interest in natural language processing society.
利用日汉平行语料库自动获取汉语译词无论是在词典编撰，还是在自然语言处理领域都有着广泛的应用。
Using JapaneseChinese parallel corpus to retrieve the Chinese equivalents automatically is generally applied not only in editing dictionaries but also in the field of natural language processing.
例如，你可以写关于在自然语言处理中使用机器学习的报告或机器学习中各算法的抽样复杂度的比较整理。
For example, you may write about the use of machine learning in natural language processing or review sample complexity of machine learning algorithms.
句子间相似度的计算在自然语言处理的各个领域都占有很重要的地位，在多文档自动文摘技术中，句子间相似度的计算是一个关键的问题。
Sentence similarity computation is very important in all the fields of Natural Language Processing. In Multi-document Summarization Technology, sentence similarity computation is a key problem.
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.
尽管诸如srgs和SISR之类的技术主要偏向于自然语言的处理，但是程序员们也在寻找将这些工具用于其他类型文法的途径。
While technologies such as SRGS and SISR lean mostly toward the processing of natural language, programmers look for ways to use those same tools for other types of grammars.
在2008年的时候，微软自然语言处理团队公开谈到了他们的一个研究项目BLEWS。
And finally in 2008, Microsoft's Natural Language Processing group spoke openly about their research project BLEWS.
他以自然语言处理和语法检查为例说明了概率方法可能更合适于验证工作，并且在计算花销上也更小。
He USES the example of natural language processing and grammar checking to show that probabilistic approach may work a lot better and be computationally cheaper.
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.
拉地过去创办了一家公司Corvigo，是一项成功的防病毒服务，现已卖出。拉地计划把他在第一家公司所使用的自然语言处理技术的某些优点用在Volt Capital上面。
Ready had planned for Volt Capital to take advantage of some of the natural language processing technology of his past company Corvigo, a successful anti-spam service that he'd just founded and sold.
在自然语言的计算机处理中有理性主义和经验主义两种主要的研究方法。
Rationalism and empiricism are the two main research methods in the field of Natural Language Processing by Computers.
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.
该模型利用自然语言处理技术，在语义层次上进行查询和检索，克服了传统检索方法的不足，提高了查全率与查准率。
This model retrieves information on semantic using natural language processing technique so as to overcome the shortcoming of traditional retrieval methods and enhance efficiency.
据说，尤其是谷歌和雅虎，在各种大数据集贡献上已经颇有建树，尤其是对训练自然语言处理模型非常有用的文本数据。
That being said, Google and Yahoo, in particular, have been pretty good about releasing various large datasets, usually textual data useful for training natural-language processing models.
由于歧义非常普遍，因此概率剖析器在大多数剖析或自然语言处理工作中起着重要的作用。
As ambiguity is so common, probabilistic parsing is very significant to syntactic processing and natural language processing.
大部分的情报载体是文字和语音。因此自然语言和语音处理技术在情报处理方面发挥着重要作用。
Most intelligence is text or speech, so natural language and speech processing technology plays a key role in intelligence domain.
译文消歧及与之相似的在单语范畴内的词义消歧一直是自然语言处理领域基础研究课题，它也是自然语言处理技术的重点和难点之一。
WTD and its similar task - word sense disambiguation (WSD) in mono-lingual category are important and hard in the research of nature language processing (NLP) and are always the basis of it.
译文消歧及与之相似的在单语范畴内的词义消歧一直是自然语言处理领域基础研究课题，它也是自然语言处理技术的重点和难点之一。
WTD and its similar task - word sense disambiguation (WSD) in mono-lingual category are important and hard in the research of nature language processing (NLP) and are always the basis of it.
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