Chinese chunking plays an important role in natural language processing.
汉语组块分析是中文信息处理领域中一项重要的子任务。
Coreference resolution plays an important role in natural language processing.
指代消解是自然语言处理领域中的一个重要问题。
Automatic Term Extraction is an important issue in Natural Language Processing.
术语自动抽取是自然语言处理中一个很重要的课题。
What are lexical categories, and how are they used in natural language processing?
什么是词汇分类，并且如何将它们用在自然语言处理中？
The parsing technique is one of the key techniques in natural language processing.
它是自然语言处理的关键技术之一。
Word sense disambiguation has always been important in natural language processing.
词义排歧在自然语言处理领域占有重要地位。
Parsing is one of the most fundamental research works in Natural Language Processing.
句法分析是自然语言处理领域一项重要的基础性研究工作。
In natural language processing, the phrase holds the pivotal status in Chinese analysis.
在自然语言处理中，短语在汉语分析中占有举足轻重的地位。
Anaphora Resolution is playing more and more important role in Natural Language Processing.
指代消解在自然语言处理中起着越来越重要的作用。
Gender recognition of person name can be used in natural language processing and information retrieval.
人名性别识别能应用在自然语言处理和信息检索中。
The identification of English basic noun phrase is an important sub-task in natural language processing.
基本名词短语识别是自然语言处理领域的非常重要的子任务。
Word sense disambiguation is one of the difficult problems and a key point in natural language processing.
词义排岐是自然语言处理的重点和难点问题之一。
Word Sense Disambiguation (WSD) has always been a difficult and hot points in natural language processing.
词义消歧是自然然语言处理中的一个难点和热点问题。
Question Answering is a hot research field in Natural Language Processing, which includes many kinds of NLP technology.
自动问答技术是自然语言处理领域中一个非常热门的研究方向，它综合运用了各种自然语言处理技术。
Semantic analysis plays an important role in natural language processing field and recently becomes a research hot spot and critical issue.
语义分析是自然语言处理领域的重要问题，也是当前研究的热点和难点问题。
As one of the important research topics, computer-aided Chinese learning is attracting more and more interest in natural language processing society.
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。
For example, you may write about the use of machine learning in natural language processing or review sample complexity of machine learning algorithms.
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。
The Chinese semantic knowledge base system is a very important part of language knowledge engineering of Chinese semantic resource in natural language processing.
现代汉语语义知识库是自然语言处理过程中汉语语义资源的重要工程之一。
Automatical text Categorization is categorizing natural language texts according to given topics, which is a very important problem in natural language processing field.
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。
To enable the natural language processing, you have to specify the text language in the dictionary lookup operator.
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。
And finally in 2008, Microsoft's Natural Language Processing group spoke openly about their research project BLEWS.
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。
We emphasize that machine dictionary is important for machine translation systems and other natural language processing systems in this paper.
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。
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。
Text-based searcher agents usually have some kind of natural language processing built in and, in some cases, latent semantic indexing.
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。
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.
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。
The output of natural language processing is another XML file format called Mining Markup language (MIML), as shown in Figure 3.
自然语言处理的输出是另一个被称作MiningMarkupLanguage (MIML)的XML文件格式，如图3所示。
Now automatic speech recognition (ASR) is not a simplex signal processing. The natural language processing is more and more regarded in Chinese ASR.
汉语语音识别的研究越来越重视与语言处理的结合，语音识别已经不是单纯的语音信号处理。
Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing.
神经网络与深度学习现在为解决许多问题提供了最佳解决方案，例如图像识别、语音识别和自然语言分析。
Rationalism and empiricism are the two main research methods in the field of Natural Language Processing by Computers.
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.
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。
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