stemming

简明释义

英[ˈstemɪŋ]美[ˈstemɪŋ]

v. 阻止，封堵，遏制（stem 的现在分词）

英英释义

单词用法

同义词

反义词

例句

1.Drawing (do not mix it with painting) is a particular type of visual art, stemming back to prehistoric times with their rock and cave drawings.

绘图(不要与绘画混为一谈)是一种特殊的视觉艺术类型，可追溯至史前时期的岩画或洞穴壁画。

2.The bank’s big problem is litigation stemming from America’s mortgage fiasco. This risk is not unique to BofA but it is unusually severe.

美国银行最大的问题是按揭部门的巨亏招致的诉讼，这个问题并不只是美国银行有，只不过它的特别严重。

3.While a few countries are making major strides in this regard, the majority are having great difficulty even stemming the rate of increase, let alone reversing it.

虽然一些国家在这方面取得了显著的成果，但大多数国家就连降低（碳排放的）增长率都很难，更别说减排了。

4.Searches are not limited to literal strings, the application understands such as stemming.

搜索并不局限于字符串，应用程序所能理解的例如词干分析。

5.They need to understand that stemming Greece's debt crisis is less an act of charity than of self-interest.

他们需要明白阻止希腊债务危机并非做善事，而是为自己着想。

6.This was to avoid "weird" results stemming from the fact that the OODBMS notion of identity isn't the same as that found in relational theory.

这是为了避免由于一致性概念在OODBMS中与在关系理论中的不同而导致的“怪异”结果。

7.They are working on stemming 减少 the rise of antibiotic resistance.

他们正在努力 减少 抗生素抗药性的上升。

8.The company is stemming 抑制 its production costs by using more efficient technologies.

该公司通过使用更高效的技术来 抑制 生产成本。

9.The government is implementing policies aimed at stemming 遏制 unemployment rates.

政府正在实施旨在 遏制 失业率的政策。

10.The research team is focusing on methods for stemming 遏制 climate change impacts.

研究小组专注于应对气候变化影响的 遏制 方法。

11.She is stemming 阻止 the flow of water to prevent flooding in the area.

她正在 阻止 水流，以防止该地区洪水。

作文

In the field of linguistics and natural language processing, the term stemming refers to the process of reducing a word to its base or root form. For example, the words 'running', 'ran', and 'runner' can all be reduced to the root 'run' through stemming. This technique is crucial for various applications such as search engines, text analysis, and information retrieval, as it helps in grouping similar words together, thereby improving the efficiency of data processing. The importance of stemming cannot be overstated, especially in an age where vast amounts of textual data are generated every second.When we consider the role of stemming in search engines, it becomes clear how it enhances user experience. Imagine searching for information on 'running shoes'. Without stemming, the search engine might only retrieve pages that contain the exact phrase 'running shoes', potentially missing out on valuable resources that mention 'run', 'runner', or 'runs'. However, with stemming, the search engine can recognize these variations and present a more comprehensive list of results. This not only saves time for users but also increases the likelihood of finding relevant information.In addition to search engines, stemming plays a significant role in text mining and sentiment analysis. Businesses often analyze customer feedback to gauge public opinion about their products or services. By employing stemming, companies can identify common themes and sentiments expressed in reviews. For instance, if many customers mention 'great running experience', 'runs smoothly', or 'best runner's choice', stemming allows analysts to aggregate these comments under the root word 'run', providing a clearer picture of customer satisfaction.Moreover, stemming is not limited to English. Many languages have their own stemming algorithms tailored to their specific grammatical structures. This adaptability makes stemming a universal tool in the realm of computational linguistics. Researchers continuously refine stemming algorithms to improve accuracy and efficiency, ensuring that they can handle the complexities of different languages while still delivering reliable results.However, it is important to note that stemming is not without its challenges. One of the main issues is the potential for over-stemming, which occurs when words that should remain distinct are reduced to the same root form. For instance, the words 'university' and 'universe' could be incorrectly stemmed to 'univers', leading to confusion in interpretation. To mitigate this issue, developers often incorporate additional context or utilize more advanced techniques like lemmatization, which considers the meaning of words rather than just their forms.In conclusion, stemming is a fundamental concept in linguistics and natural language processing that aids in the simplification and categorization of words. Its applications in search engines, text analysis, and various other fields highlight its significance in our increasingly digital world. As technology continues to evolve, so too will the methods and algorithms associated with stemming, making it an exciting area of study for linguists and computer scientists alike. Understanding stemming and its implications will undoubtedly enhance our ability to navigate and make sense of the vast quantities of information available to us today.

在语言学和自然语言处理领域，术语stemming指的是将单词简化为其基本或根形式的过程。例如，单词“running”，“ran”和“runner”都可以通过stemming简化为根词“run”。这一技术对于搜索引擎、文本分析和信息检索等各种应用至关重要，因为它有助于将相似的单词归类在一起，从而提高数据处理的效率。尤其是在当今每秒产生大量文本数据的时代，stemming的重要性不容小觑。当我们考虑stemming在搜索引擎中的作用时，可以清楚地看到它如何提升用户体验。想象一下，搜索“跑鞋”的信息。如果没有stemming，搜索引擎可能只会检索包含确切短语“跑鞋”的页面，可能会错过提到“跑”、“跑者”或“跑步”的宝贵资源。然而，通过stemming，搜索引擎可以识别这些变体，并提供更全面的结果列表。这不仅节省了用户的时间，还增加了找到相关信息的可能性。除了搜索引擎，stemming在文本挖掘和情感分析中也扮演着重要角色。企业通常分析客户反馈，以评估公众对其产品或服务的看法。通过采用stemming，公司可以识别评论中表达的共同主题和情感。例如，如果许多客户提到“极好的跑步体验”、“跑得很顺畅”或“最佳跑者选择”，stemming允许分析师将这些评论汇总到根词“跑”下，从而提供客户满意度的更清晰图景。此外，stemming并不限于英语。许多语言都有自己针对特定语法结构量身定制的词干算法。这种适应性使得stemming成为计算语言学领域的通用工具。研究人员不断完善词干算法，以提高准确性和效率，确保它们能够处理不同语言的复杂性，同时仍能提供可靠的结果。然而，需要注意的是，stemming并非没有挑战。主要问题之一是潜在的过度词干化，即应该保持独立的单词被简化为同一根形式。例如，单词“大学”和“宇宙”可能被错误地词干化为“univers”，导致理解上的混淆。为了减轻这个问题，开发人员通常会结合额外的上下文或利用更先进的技术，如词形还原，这种方法考虑了单词的含义而不仅仅是其形式。总之，stemming是语言学和自然语言处理中的一个基本概念，帮助简化和分类单词。它在搜索引擎、文本分析及其他各个领域的应用凸显了其在我们日益数字化的世界中的重要性。随着技术的不断发展，与stemming相关的方法和算法也将不断演变，使其成为语言学家和计算机科学家研究的一个令人兴奋的领域。理解stemming及其影响无疑将增强我们在今天这个信息量庞大的世界中导航和理解的能力。