trigram

简明释义

英[ˈtraɪɡræm]美[ˈtraɪˌɡræm]

n. 卦（中国、日本等国用作占卜等用的）；三字铭；三线形

英英释义

单词用法

同义词

反义词

例句

1.In Mandarin speech recognition, this model shows a better performance and requires less memory space than the word based trigram model.

在汉语普通话连续音识别中，这个词义模型的性能优于基于词的三元文法模型，并且需要较小的存储空间。

2.For my trigram analysis, I utilized only the most highly differentiating trigrams as message categorizers.

对于我的三元模型分析，我只利用了高差分三元模型作为消息分类器。

3.While adding a new scenic attraction to our city the restored eight-trigram cropland will also offer a view into the agricultural history of the southern song dynasty.

修建后的八卦田在给我们城市增添一个新的风景点的同时，也提供了了解南宋农耕历史的视角。

4.Based on trigram models, this paper proposes a three-step method of "word-similar word-part of speech" by incorporating the similar words and solves the problem of sparse data to a large extent.

本文利用三元模型，通过引入相似词，采取“词形-相似词-词性”三步回退的策略，比较好地缓解了数据稀疏问题。

5.A trigram is a group of three consecutive characters taken from a string.

三字铭是从一个字串里取出来的一组三个连续的字符。

6.The different colors of the crops will outline the eight-trigram.

八卦田将会用不同颜色的农作物勾边。

7.Several interpolation methods based on trigram counts are used for the adaptation.

自适应采用了几种不同的计数意义上的插值算法。

8.By breaking down sentences into trigrams 三元组, we can better analyze language patterns.

通过将句子分解为 trigrams 三元组，我们可以更好地分析语言模式。

9.We analyzed the frequency of each trigram 三元组 in the dataset to improve our text classification algorithm.

我们分析了数据集中每个 trigram 三元组 的频率，以改善我们的文本分类算法。

10.The search engine uses trigrams 三元组 to enhance its query understanding capabilities.

搜索引擎使用 trigrams 三元组 来增强其查询理解能力。

11.In natural language processing, a trigram 三元组 model can help in predicting the next word in a sentence.

在自然语言处理领域，trigram 三元组 模型可以帮助预测句子中的下一个单词。

12.The trigram 三元组 approach is particularly useful in speech recognition systems.

在语音识别系统中，trigram 三元组 方法特别有用。

作文

In the realm of linguistics and language processing, the term trigram refers to a sequence of three consecutive elements from a given sample of text or speech. This concept is particularly significant in the field of natural language processing (NLP), where understanding the structure and patterns of language can lead to improved algorithms for tasks such as speech recognition, text prediction, and machine translation. By examining trigrams, researchers can glean insights into the frequency and co-occurrence of words, allowing for more sophisticated models that can predict what comes next in a sentence based on the preceding two words.For instance, consider the phrase "the cat sat". The trigrams derived from this phrase would include "the cat sat", "cat sat on", and so forth, depending on the surrounding context. This method of breaking down language into trigrams not only helps in identifying common phrases but also aids in understanding the syntax and semantics of a language. In fact, many modern text analysis tools utilize trigrams to enhance their predictive capabilities.Moreover, trigrams are not limited to just words; they can be applied to characters in languages, enabling the analysis of written text in a more granular way. For example, in Chinese, a trigram could consist of three characters, which may form a meaningful unit of language. This is especially useful in character-based languages where the meaning can shift dramatically with different combinations of characters.The application of trigrams extends beyond just linguistic analysis. In the field of data science, trigrams can be used in various algorithms to improve the accuracy of classification models. By incorporating trigrams into feature extraction processes, data scientists can create more robust models that better understand the context and relationships between different pieces of data.Furthermore, in the domain of artificial intelligence, especially in machine learning and deep learning, trigrams play a crucial role. They are often used in training datasets to help machines learn the nuances of human language. By processing vast amounts of text and extracting trigrams, AI systems can develop a more comprehensive understanding of language patterns, which is essential for tasks like sentiment analysis and chatbot development.In conclusion, the concept of trigram is a fundamental building block in both linguistics and computational linguistics. It serves as a powerful tool for analyzing language, enhancing predictive models, and improving the performance of various algorithms. As we continue to explore the intricacies of human language through technology, the significance of trigrams will undoubtedly remain a vital area of study. Understanding how to effectively utilize trigrams can lead to advancements in communication technologies and deepen our comprehension of language itself.

在语言学和语言处理的领域中，术语trigram指的是从给定的文本或语音样本中提取的三个连续元素的序列。这个概念在自然语言处理（NLP）领域尤为重要，因为理解语言的结构和模式可以提高语音识别、文本预测和机器翻译等任务的算法。通过研究trigrams，研究人员可以深入了解单词的频率和共现关系，从而建立更复杂的模型，根据前两个单词来预测句子中的下一个单词。例如，考虑短语“the cat sat”。从这个短语中提取的trigrams包括“the cat sat”、“cat sat on”等，具体取决于周围的上下文。这种将语言分解为trigrams的方法不仅有助于识别常见短语，还能帮助理解语言的句法和语义。事实上，许多现代文本分析工具利用trigrams来增强其预测能力。此外，trigrams不仅限于单词；它们还可以应用于语言中的字符，使得以更细致的方式分析书面文本。例如，在中文中，一个trigram可以由三个字符组成，这可能形成一个有意义的语言单位。这在字符基础的语言中尤其有用，因为不同字符组合的意义可能会大相径庭。trigrams的应用超越了语言分析。在数据科学领域，trigrams可以用于各种算法，以提高分类模型的准确性。通过将trigrams纳入特征提取过程，数据科学家可以创建更加稳健的模型，更好地理解不同数据之间的上下文和关系。此外，在人工智能领域，特别是在机器学习和深度学习中，trigrams发挥着至关重要的作用。它们通常用于训练数据集，以帮助机器学习人类语言的细微差别。通过处理大量文本并提取trigrams，AI系统可以更全面地理解语言模式，这对于情感分析和聊天机器人开发等任务至关重要。总之，trigram的概念是语言学和计算语言学中的基本构建块。它作为分析语言、增强预测模型和改进各种算法性能的强大工具。随着我们继续通过技术探索人类语言的复杂性，trigrams的重要性无疑将成为一个重要的研究领域。有效利用trigrams的理解可以推动通信技术的进步，并加深我们对语言本身的理解。