理解文本 英语是什么意思 - 英语翻译

• understanding the text
• understand the text

在 中文 中使用 理解文本 的示例及其翻译为 英语

熟悉一个故事有助于读者更好地理解文本。
Being familiar with a story already helps the reader better understand the text.

我们建造的是能阅读和理解文本的机器。
We are building machines that read and understand text.

我们相信，构建能够阅读和理解文本的机器?
We are building machines that read and understand text.

用来实际理解文本的、有意识的部分，少了一些空间。
Leaving less room in the conscious part of the mind for actually understanding the text.

数学阅读不是线性的体验……理解文本需要交叉引用、扫读、停顿和重读。
Reading Mathematics is not at all a linear experience… Understanding the text requires cross references, scanning, pausing and revisiting” 2.

这背后，理解语音命令或查询，软件需要将语音输入转录为文本，然后使用NLP技术理解文本。
To understand the voice commands or enquiries, the software needs to transcribe the voice input into text, and then understand the text using NLP technology.

盖茨：最令人惊奇的事将是电脑能够像人类一样阅读和理解文本的时候。
The most amazing thing will be when computers can read and understand the text like humans do.

甚至一个健康的人常常无法理解文本的图像,更不用说视力不佳或失明。
Even a healthy human being is often times unable to understand the text in the image, let alone people with poor eyesight or blindness.

短期内，这使得从解析语言和理解文本中得到更快的回应成为了可能。
In the short term, this allows for quicker responses in interpreting languages and understanding text.

在文档层面，理解文本最有效的方式之一就是分析其主题。
At the document level, one of the most useful ways to understand text is by analyzing its topics.

阅读让我们的大脑成为一种锻炼，因为理解文本需要更多的精神能量，例如，在电视屏幕上处理图像。
Reading gives our brains a workout because comprehending text requires more mental energy than, for example, processing an image on a television screen.

作为学习和理解文本的研究人员，我们最近的工作集中在阅读印刷媒体和数字媒体之间的差异上。
As researchers in learning and text comprehension, our recent work has focused on the differences between reading print and digital media.

大多数人类都擅长阅读和理解文本，但是计算机并非如此。
Most humans are pretty good at reading and interpreting text; computers… not so much.

阅读是一种技能很多人都认为是理所当然，但阅读和正确理解文本的行为是一个复杂的互动过程。
Reading is a skill many people take for granted, but the act of reading and properly comprehending a text is a complex and interactive process.

使理论和实践之间的连接，不仅应用该理论来理解文本，而且要解决问题，有效教学;
Make connections between theory and practice, applying that theory not only to understanding texts, but also to solving problems and teaching effectively.

随着人类越来越依赖于计算系统，计算机理解文本和语言也变得越来越重要。
As humans become more dependent on computing systems, it becomes more and more important for computers to understand text and language.

因此，这是一个自然语言处理问题，需要理解文本，以预测潜在的意图。
Therefore, this is a natural language processing problem, which needs to understand the text to predict the potential intention.

从短期来看，这让该公司得以更好地解读语言、理解文本。
In the short term, this allows for quicker responses in interpreting languages and understanding text.

ChrisUhlenbeck与MargaritaWinkel指出“这幅作品反映出，在隔离状况及未能理解文本情况下对图像的扭曲理解”。
According to Chris Uhlenbeck and Margarita Winkel,"his print is testimony to how our interpretation of an image can be distorted when seen in isolation and without understanding the text.".

尽管在这几年的seo发展中，搜索引擎技术有了惊人的进步，搜索引擎尚未能理解文本，查看图像，或以同样的方式，一个人可以观看视频。
Despite amazing technological advances, search engines can't yet understand text, view images, or watch video the same way a human can.

并理解文本的有限相关部分。
Understands limited relevant parts of text.

语义-理解文本的字面意义。
Semantics- understanding the literal meaning of the text.

但我们的目标不在于理解文本的每个细节；.
But our own aim is not to understand every little detail of a text;

VQA是一个需要理解文本和视觉的新领域。
VQA is a recent field that requires the understanding of both text and vision.

初级水平的读者在能够预测文本信息时，可以最好地理解文本。
Readers at the Novice level are best able to understand a text when they are able to anticipate the information in the text.

媒体对于一般性问题并不重要（例如理解文本的主要思想）。
The medium didn't matter for general questions(like understanding the main idea of the text).

迄今为止，这种机器能够理解文本并将其翻译为手语。
Thus far, the machine can take text and translate it into finger spelling.

因此，这是一个自然语言处理问题，需要理解文本，以预测潜在的意图。
Therefore it is a natural language processing problem where text needs to be understood in order to predict the underlying intent.

帮助训练您的机器学习模型，以便更好地理解文本，从而更准确地响应人机交互。
Help train your machine learning model to better understand text so it can respond more accurately to human interaction.