SEMANTIC 英语是什么意思 - 英语翻译

• semantic

在 中文 中使用 Semantic 的示例及其翻译为 英语

SemanticWeb，我们来了!
Semantic web, here we come!

这样的版本号遵循了SemanticVersioning规范。
This project mostly follows semantic versioning.

SemanticWeb：这是怎么个回事？?
Semantic Web… what does it mean?

微软在2018年5月收购了SemanticMachines。
Microsoft acquired Semantic Machines in May 2018.

SemanticUI希望通过使用自然语言来改变叙述。
Semantic UI looks to change that narrative by using natural language.

微软在2018年5月收购了SemanticMachines。
Microsoft acquired Semantic Machines LA in May 2018.

语义记忆与情景记忆（semanticmemoryandepisodicmemory）.
Interaction between semantic memory and episodic memory.

微软收购对话式AI公司SemanticMachines.
Microsoft acquires conversational AI company Semantic Machines.

SemanticMediaWiki(SMW)是对MediaWiki的一种扩展。
The best-known of these is Semantic MediaWiki, an extension to MediaWiki.

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

因此这两个版本都应当被保留，然后交给客户端，由客户端（在下一次读到时候）执行semanticreconciliation。
Both versions of the data must be kept and presented to a client(upon a read) for semantic reconciliation.

人是Web的核心，因此建立所谓的semanticURLs被认为是最佳实践。
People are at the core of the Web, and so it is considered best practice to build what is called semantic URLs.

在Web2.0Semantic网页空间中正在开发的各种工具有希望带来分析元数据储存的新的更有效方式。
Tools being developed in the Web 2.0 semantic web space hold the promise of new and more efficient ways of analysing metadata stores.

Jekyll非常灵活，可以与Bootstrap，[1]SemanticUI等前端框架结合使用。
Jekyll is flexible and can be used in combination with front-end frameworks such as Bootstrap,[9] Semantic UI and many others.

提供服务扩展Providesservice是SemanticMediaWiki之中的一个特殊属性，其内在含义为：可用于为属性添加服务链接。
Provides service is a special property in Semantic MediaWiki with a built-in meaning: it can be used to add service links to properties.

我们利用快速学习机会，可以做SemanticSLAM，可以自动识别物体，也可以做成真正应用的场景。
We use the fast learning opportunity to do Semantic SLAM, which can automatically identify objects and make real application scenarios.

SemanticMediaWiki（SMW）是对支撑驱动Wikipedia的MediaWiki的一个自由的开源扩展，使您可以在维基页面之中存储和查询数据。
Semantic MediaWiki(SMW) is a free, open-source extension to MediaWiki that lets you store and query data within the wiki's pages.

比如说，随着搜索引擎的改进以及向SemanticWeb的迈进，XML成了Web站点管理员在页面中添加有意义信息的利器。
For example, as search engines improve and the world moves towards the Semantic Web, XML is how webmasters can add meaningful information to their pages.

TensorFlow2.0的发布是一个改正错误的好机会，并且针对在semanticversioning下被禁止的部分作出改善。
This new version, TensorFlow 2.0 is an opportunity to correct mistakes and make improvements which otherwise under semantic versioning are forbidden.

Allen研究所从其SemanticScholar学术搜索引擎，分析了截至2018年底200多万份AI研究出版物的数据。
The Allen Institute analyzed data on more than 2 million AI research publications through the end of 2018 from its Semantic Scholar academic search engine.

到目前为止，这种声音和氛围只有被另一位艺术家成功地模仿并改进过，就是Delerium和他们的专辑<SemanticSpacesgt;。
To date the sound and atmosphere have only been copied and improved on successfully by one artist, that being Delerium on their album Semantic Spaces.

直至SemanticMediaWiki1.5.6，数据类型当时都曾有着各自的维基页面，而自定义计量单位是在数据类型页面上加以声明的，而不是在属性页面上。
Up to Semantic MediaWiki 1.5.6, datatypes had their own wiki pages and custom units were declared on a datatype page, not on the property page.

研究团队创建了一个名为SemanticScholar的工具，用以搜索和分析在线发表的科研论文。
The capital-based Allen Institute created a tool called Semantic Scholar; which uses IA to facilitate the search and analysis of scientific research articles published online.

今天，我们宣布一个实验性系统SLING，该系统可将自然语言文本直接解析成语义表示--语义框架图（semanticframegraph）。
Today we are announcing SLING, an experimental system for parsing natural language text directly into a representation of its meaning as a semantic frame graph.

在“LearningSemanticTextualSimilarityfromConversations”中，我们引入了一种新的方法来学习语义文本相似度的语句形式。
In“Learning Semantic Textual Similarity from Conversations”, we introduce a new way to learn sentence representations for semantic textual similarity.

Electron最近发布了2.0版本，这标志着Electron开始采用语义化版本控制（SemanticVersioning）并采用了能保证预发布稳定性的新方法。
Electron has recently shipped version 2.0, which marks the beginning of Electron's adoption of Semantic Versioning and a new process for pre-release stability.

在「LearningSemanticTextualSimilarityfromConversations」这篇论文中，我们引入一种新的方式来学习语义文本相似的句子表示。
In“Learning Semantic Textual Similarity from Conversations”, we introduce a new way to learn sentence representations for semantic textual similarity.

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

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。
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.

LSA也被称为隐语义索引(latentsemanticindexing,LSI)，尽管严格地说它是指在持久索引(persistentindexes)中用于信息检索(informationretrieval)的目的。
LSA is also known as latent semantic indexing, LSI, though strictly that refers to its use in persistent indexes for information retrieval purposes.