parsing

简明释义

英[ˈpɑːsɪŋ]美[ˈpɑːrsɪŋ]

n. 语法分析；剖析

v. 解析（parse 的 ing 形式）

英英释义

单词用法

同义词

反义词

例句

1.Parsing the file is outside the scope of this article.

文件的解析不在本文讨论范围之列。

2.The method is plain, vanilla parsing.

该方法是一种普通的解析。

3.Supports parsing of human-entered rich query expressions.

支持解析人们输入的丰富查询表达式。

4.This hairy function call does the argument parsing.

这个复杂的函数调用执行参数解析。

5.Pull parsing turns parse event reporting around.

而拉出解析将解析事件报告转了向。

6.Syntactic interoperability is all about parsing data correctly.

语义互操作性就是正确地解析数据。

7.We need to improve the parsing 解析 speed of our application to enhance user experience.

我们需要提高应用程序的解析解析速度，以提升用户体验。

8.In natural language processing, parsing 解析 is crucial for understanding sentence structure.

在自然语言处理过程中，解析解析对理解句子结构至关重要。

9.The parsing 解析 of the JSON data was successful without any errors.

JSON数据的解析解析成功，没有任何错误。

10.The program uses a library for parsing 解析 XML files.

该程序使用一个库来解析解析XML文件。

11.The software is designed for parsing 解析 large datasets efficiently.

该软件旨在高效地解析解析大数据集。

作文

In the realm of computer science and linguistics, parsing refers to the process of analyzing a string of symbols, either in natural language or in computer languages. This analysis involves breaking down the input into its constituent parts to understand its structure and meaning. For instance, when we write a sentence, it can be broken down into various components such as nouns, verbs, adjectives, etc. The act of parsing helps in identifying these components and understanding how they relate to each other. In programming, parsing is crucial for interpreting code written by developers. A compiler or interpreter needs to parse the code to convert it into a form that the machine can execute. Without parsing, computers would struggle to understand the instructions provided by humans.Moreover, parsing plays a significant role in natural language processing (NLP), which is a field at the intersection of artificial intelligence and linguistics. In NLP, parsing is used to analyze text data. For example, when a chatbot receives a user query, it must parse the input to determine the user's intent and provide an appropriate response. This requires sophisticated algorithms that can handle the complexities of human language, including syntax, semantics, and context. The ability to accurately parse language allows machines to interact more effectively with humans, making technology more accessible and intuitive.In educational contexts, parsing can also be applied to teaching students how to understand complex texts. By parsing sentences, students can learn to identify main ideas and supporting details, enhancing their comprehension skills. Teachers often encourage students to parse sentences as a way to break down difficult material into manageable parts. This method not only aids in understanding but also fosters critical thinking skills, as students must consider how different elements of a sentence work together to convey meaning.Furthermore, parsing is essential in data analysis, particularly in handling large datasets. Data scientists often need to parse raw data to extract relevant information and insights. For example, when analyzing customer feedback, a data analyst might parse through thousands of comments to identify common themes or sentiments. This process is vital for businesses aiming to improve their products and services based on customer input.In conclusion, parsing is a fundamental concept that spans various fields, from computer science to education and data analysis. Its importance cannot be overstated, as it enables both machines and humans to understand and interpret complex information. As technology continues to advance, the methods and tools for parsing will likely evolve, further enhancing our ability to communicate and process information effectively. Understanding parsing is essential for anyone looking to navigate the increasingly complex landscape of information in the modern world.

在计算机科学和语言学领域，parsing指的是分析一串符号的过程，无论是在自然语言中还是在计算机语言中。这种分析涉及将输入分解为其组成部分，以理解其结构和含义。例如，当我们写一个句子时，它可以被分解为各种成分，如名词、动词、形容词等。parsing的行为有助于识别这些成分并理解它们之间的关系。在编程中，parsing对于解释开发者编写的代码至关重要。编译器或解释器需要parsing代码，以将其转换为机器可以执行的形式。如果没有parsing，计算机将难以理解人类提供的指令。此外，parsing在自然语言处理（NLP）中也发挥着重要作用，这是人工智能和语言学交叉的一个领域。在NLP中，parsing用于分析文本数据。例如，当聊天机器人接收到用户查询时，它必须parsing输入，以确定用户的意图并提供适当的响应。这需要复杂的算法来处理人类语言的复杂性，包括语法、语义和上下文。准确的parsing语言的能力使机器能够更有效地与人类互动，使技术变得更加易于访问和直观。在教育背景下，parsing也可以应用于教学生如何理解复杂文本。通过parsing句子，学生可以学习识别主要思想和支持细节，从而增强他们的理解能力。教师通常鼓励学生parsing句子作为一种将困难材料分解为可管理部分的方法。这种方法不仅有助于理解，还培养批判性思维能力，因为学生必须考虑句子的不同元素如何协同工作以传达意义。此外，parsing在数据分析中也是必不可少的，尤其是在处理大数据集时。数据科学家通常需要parsing原始数据，以提取相关信息和见解。例如，在分析客户反馈时，数据分析师可能会parsing数千条评论，以识别常见主题或情感。这个过程对于希望根据客户反馈改进产品和服务的企业至关重要。总之，parsing是一个基本概念，跨越多个领域，从计算机科学到教育和数据分析。它的重要性不容低估，因为它使机器和人类能够理解和解释复杂的信息。随着技术的不断进步，parsing的方法和工具可能会不断演变，进一步增强我们有效沟通和处理信息的能力。理解parsing对于任何希望在现代信息复杂环境中导航的人来说都是必不可少的。