What is the translation of " SEMANTIC ANALYSIS " in Chinese?

• 语义分析
• semantic analysis

Examples of using Semantic analysis in English and their translations into Chinese

Here are some techniques in semantic analysis, to mention a few:.
以下是语义分析中的一些技巧，仅举几例：.

Semantic analysis is how NLP AI interprets human sentences logically.
语义分析是NLPAI如何在逻辑上解释人类句子。

Probabilistic Latent Semantic Analysis Complete PISA DEMO in C.
概率潜在语义分析（PDF）C编写的PLSA的DEMO.

The two pillars of NLP are syntactic analysis and semantic analysis.
NLP的两个支柱是句法分析和语义分析。

An important component of semantic analysis is type checking.
语义分析的一个重要部分是类型检查（typechecking）。

Latent Semantic Analysis was proposed in 2005 by Jerome Bellegarda for natural language processing tasks.
年，潜在语义分析被JeromeBellegarda提出使用在自然语言处理中。

Schueffel decided to conduct semantic analysis on the word Fintech.
于是，Schueffel教授决定对Fintech这个词进行专项语义分析。

The method of semantic analysis is described as well as the semantic components and the feature code definitions.
他说明了语义分析方法以及语义构成部分和地物代码定义。

Brain morphometry by probabilistic latent semantic analysis.
PLSA:概率潜在语义分析（ProbabilisticLatentSemanticAnalysis）.

The parsing and semantic analysis are a bit intertwined, and there's some code duplication.
解析和语义分析的过程是有一点交叉的，并且有一些代码重复的情况出现。

Our model is similar to probabilistic latent semantic analysis(PISA).
概率潜在语义分析（ProbabilisticLatentSemanticAnalysis，PLSA）.

In the system-level semantic analysis, information recommendation, is bound to involve more privacy issues.
在系统级别进行语义分析、信息推荐，势必要涉及隐私问题。

The outcome of the lab project was a prototype that- based on semantic analysis- helps users find the right information.
这个实验室项目的成果是一个基于语义分析的原型，它能帮助用户找到正确信息。

It does not use semantic analysis but rather is based on a tag-parser approach so it is not as quite as advanced as IntelliSense.
它不使用语义分析，而是基于标签解析器方法，所以它不像智能感知那么先进。

Used by accessibility tools, search engines, and other semantic analysis software to determine the meaning of the application.
使用辅助工具、搜索引擎和其他语义分析软件来确定应用程序的含义。

The semantic analysis phase is generally more complex and written by hand, but can be partially or fully automated using attribute grammars.
语义分析阶段一般是更复杂的，并用手写的，但可使用语法被部分或完全自动化。

It is reported that the aspect model used in the probabilistic latent semantic analysis has severe overfitting problems.[2].
根据报告，概率潜在语义分析中使用的方面模型存在严重的过拟合问题。[1].

PLSA, or Probabilistic Latent Semantic Analysis, uses a probabilistic method instead of SVD to tackle the problem.
PLSA，即概率潜在语义分析，采取概率方法替代SVD以解决问题。

If the HMM method breaks down text and NLP allows for human-to-computer communication, then semantic analysis allows everything to make sense contextually.
如果HMM方法分解文本并且NLP允许人与计算机之间的通信，则语义分析允许所有内容在上下文中有意义。

Semantic analysis(type checking, making sure variables are declared before they are used, and basically checking if a program makes sense).
语义分析（类型检查，确保变量在使用之前被声明，并简单检查程序是否有意义）.

Relying on a technology called“latent semantic analysis,” the software program allows a computer to grade student essays.
依靠称为“潜在语义分析”的技术，该软件程序允许计算机对学生的论文进行评分。

Semantic analysis, the core of NLU, involves applying computer algorithms to understand the meaning and interpretation of words and is not yet fully resolved.
语义分析是NLU的核心，涉及应用计算机算法来理解单词的含义和解释，尚未完全解决。

It's closely related to NLP and one could even argue that semantic analysis helps form the backbone of natural language processing.
它与NLP密切相关，甚至可以说语义分析有助于形成自然语言处理的支柱。

Latent Semantic Analysis(LSA), also known as Latent Semantic Indexing(LSI) literally means analyzing documents to find the underlying meaning or concepts of those documents.
LatentSemanticAnalysis(LSA)也被叫做LatentSemanticIndexing(LSI)，从字面上的意思理解就是通过分析文档去发现这些文档中潜在的意思和概念。

The customary topic models include PISA(Probabilistic Latent Semantic Analysis) and IDA(Latent Dirichlet Allocation).
主题模型有两种：pLSA（ProbabilisticLatentSemanticAnalysis）和LDA（LatentDirichletAllocation）。

Then, we would have to run some semantic analysis on the tweets to determine if they appear to be referencing a current earthquake occurrence.
然后，我们需要在tweets上运行一些语义分析，来确定它们是否代表当前发生了地震。

The customary topic models include PISA(Probabilistic Latent Semantic Analysis) and IDA(Latent Dirichlet Allocation).
训练主题模型一般有pLSA(ProbabilisticLatentSemanticAnalysis)和LDA(LatentDirichletAllocation)等方法。

To do this, go to Project| Properties| Semantic Analysis and mark the Enable project specific settings checkbox and unmark Enable Semantic Analysis.
因此,这个功能在“图书馆项目”也可以被禁用（project|Properties|SemanticAnalysisandmarktheEnableprojectspecificsettingscheckboxandunmarkEnableSemanticAnalysis）。

The process can involve up to five steps, instead of only semantic analysis and syntactical transformation that occurs when translating into Indo-European languages.
该过程最多可涉及五个步骤，而不仅仅是在翻译成印欧语言时发生的语义分析和语法转换。