unsegmented

简明释义

英[ˌʌnseɡˈmentɪd]美[ʌnseɡˈmentɪd]

未分段的

不分节的

英英释义

单词用法

同义词

反义词

例句

1.Zoology An elongated, flexible, unsegmented extension, as one of those surrounding the mouth or oral cavity of the squid, used for feeling, grasping, or locomotion .

一种可伸长的、有弹性的、不分节的伸展部分，如环绕在鱿鱼嘴部或口腔周围的触须，用以触感、扑捉或移动。

2.This address space is flat (unsegmented), with addresses ranging continuously from 0 to FFFFFFFFH.

这个空间是平坦的(未分段)，连续的从地址0到FFFFFFFFH分布。

3.Zoology An elongated, flexible, unsegmented extension, as one of those surrounding the mouth or oral cavity of the squid, used for feeling, grasping, or locomotion .

一种可伸长的、有弹性的、不分节的伸展部分，如环绕在鱿鱼嘴部或口腔周围的触须，用以触感、扑捉或移动。

4.The video footage was captured in an unsegmented 未分段的 format, complicating the editing process.

视频素材以未分段的格式捕捉，给编辑过程带来了复杂性。

5.In the early stages of development, the market was considered unsegmented 未分段的, which allowed for broad targeting strategies.

在发展的早期阶段，市场被认为是未分段的，这使得广泛的目标策略成为可能。

6.The data was collected in an unsegmented 未分段的 manner, making it difficult to analyze specific trends.

数据以未分段的方式收集，使得分析特定趋势变得困难。

7.An unsegmented 未分段的 approach to customer feedback can lead to missed insights.

对客户反馈采取未分段的方法可能会导致错过重要见解。

8.The software struggled to process unsegmented 未分段的 audio files accurately.

该软件难以准确处理未分段的音频文件。

作文

In the realm of linguistics and cognitive science, the term unsegmented refers to the continuous flow of speech or text that lacks clear boundaries between words or phrases. This phenomenon is particularly evident in languages where words are not distinctly separated by spaces, as seen in some Asian languages like Chinese or Japanese. The concept of unsegmented language processing poses unique challenges for both language learners and artificial intelligence systems tasked with understanding human communication. When we consider how children acquire language, they often begin by listening to unsegmented speech. At first, they cannot distinguish individual words; instead, they hear a stream of sounds. Through exposure and practice, they learn to identify patterns and segment these sounds into recognizable units. This process highlights the importance of context and repetition in language learning. For instance, when a child hears the phrase 'I want a cookie' repeatedly, they start associating the sounds with the meaning, eventually segmenting it into distinct words.In contrast, adults who are learning a new language may struggle with unsegmented speech due to their pre-existing knowledge of their native language. They might try to apply familiar rules and structures to a new language that does not conform to those expectations. This can lead to confusion and frustration when faced with unsegmented phrases that seem chaotic and difficult to parse. Consequently, language educators often employ techniques to help learners navigate this challenge, such as using visual aids or breaking down sentences into smaller parts to facilitate understanding.Moreover, technology has also grappled with the issue of unsegmented language. Speech recognition software, for example, relies on algorithms to detect word boundaries in a continuous stream of audio. Early systems struggled significantly with unsegmented input, resulting in high error rates. However, advancements in machine learning and natural language processing have led to more sophisticated models that can better handle unsegmented speech by learning from vast amounts of data. These improvements have made virtual assistants and translation services much more effective, allowing users to communicate more naturally.The implications of unsegmented language extend beyond just linguistics; they touch upon cognitive psychology as well. Research indicates that the ability to segment speech accurately is linked to various cognitive skills, including memory and attention. Individuals who are adept at processing unsegmented language may possess enhanced auditory discrimination abilities, which can benefit them in other areas of learning and communication.In conclusion, the concept of unsegmented language is a fascinating area of study that intersects linguistics, cognitive science, and technology. Understanding how humans and machines deal with unsegmented speech can provide valuable insights into the nature of language acquisition and communication. As we continue to explore this topic, it becomes increasingly clear that the ability to segment language is not merely a linguistic skill but a crucial component of effective interaction in our complex world.

在语言学和认知科学领域，术语unsegmented指的是缺乏单词或短语之间明确边界的连续语音或文本流。这种现象在某些亚洲语言中尤为明显，例如中文或日文，这些语言的单词并不通过空格明显分隔。unsegmented语言处理的概念对语言学习者和人工智能系统在理解人类交流时提出了独特的挑战。当我们考虑儿童如何习得语言时，他们通常开始时听到unsegmented的语音。起初，他们无法区分单个单词；相反，他们听到的是一串声音。通过接触和练习，他们学会识别模式，将这些声音分段为可识别的单位。这个过程突显了上下文和重复在语言学习中的重要性。例如，当一个孩子多次听到短语“我想要一个饼干”时，他们开始将这些声音与意义联系起来，最终将其分割成独立的单词。相比之下，正在学习新语言的成年人可能会因为他们已有的母语知识而在unsegmented语音中挣扎。他们可能试图将熟悉的规则和结构应用于一种不符合这些期望的新语言。这可能导致在面对看似混乱且难以解析的unsegmented短语时产生困惑和挫折。因此，语言教育者通常采用一些技巧来帮助学习者应对这一挑战，例如使用视觉辅助工具或将句子分解为更小的部分，以促进理解。此外，科技也在与unsegmented语言的问题作斗争。例如，语音识别软件依赖算法来检测连续音频中的单词边界。早期系统在处理unsegmented输入时遇到了重大困难，导致错误率很高。然而，机器学习和自然语言处理的进步使得更复杂的模型能够更好地处理unsegmented语音，通过从大量数据中学习。这些改进使虚拟助手和翻译服务变得更加有效，允许用户更自然地沟通。unsegmented语言的影响不仅限于语言学；它们还涉及认知心理学。研究表明，准确分段语音的能力与各种认知技能相关，包括记忆和注意力。擅长处理unsegmented语言的个体可能具备更强的听觉辨别能力，这可以在其他学习和交流领域中为他们带来益处。总之，unsegmented语言的概念是一个迷人的研究领域，交叉了语言学、认知科学和技术。理解人类和机器如何处理unsegmented语音可以为我们提供有关语言习得和交流本质的宝贵见解。随着我们继续探索这个主题，越来越清楚的是，分段语言的能力不仅仅是一种语言技能，而是我们复杂世界中有效互动的关键组成部分。