associability

associability的音标是[ˌæsəuɪsəˈbɪləti]。

基本翻译是“关联性；联想性”。

速记技巧是：as-so-vis-abil-ity。其中，as表示“像…一样”，so表示“如此”，vis表示“看”，abil表示“能力”，ity是名词后缀。整体表示“能够被关联的能力”。

Associability的英文词源为：

“associate”意为“与…相关联”

“-ability”是名词后缀

Associability的意思是“关联性，可关联性”，指某物能够与其他事物关联的能力或特征。

变化形式：无

相关单词：

1. association n. 协会，团体；联合，结合

2. associative adj. 联想的；联合的

3. associative memory 联想记忆；联想存储器

4. associative learning 联想学习；联想式学习

5. associative thinking 联想式思维；联想式思考

6. associative verb 联想动词；关联动词

7. associative adjective 联想形容词；关联形容词

8. associative noun 关联名词；联想名词

9. associative synonym 关联同义词；联想同义词

10. associative imagery 联想意象；关联意象

以上单词都与associability有直接或间接的关系，它们在英语中广泛使用，可以帮助我们更好地理解和运用associability这个词汇。

associability 常用短语：

1. associative with 与...有联系

2. associative learning 联想学习

3. associative memory 联想记忆

4. associative matrix 关联矩阵

5. associative rule 关联规则

6. associative function 关联函数

7. associative product 结合产品

双语例句：

1. The two ideas are strongly associated with each other.

这两个想法之间有很强的联系。

2. She has a good associative memory for remembering names.

她对记住名字有很好的联想记忆力。

3. The two concepts are closely related and can be seen as associative.

这两个概念紧密相关，可以被视为关联的。

4. The associative matrix is a powerful tool for analyzing data relationships.

关联矩阵是分析数据关系的有力工具。

5. The associative rule is a method for finding patterns in data.

关联规则是一种在数据中寻找模式的方法。

6. The function of the associative product is to combine elements in a certain way.

结合产品的功能是按一定方式组合元素。

7. The teacher used the associative method to help us understand the topic better.

老师用联想的方法帮助我们更好地理解这个主题。

英文小作文：

Associability and Its Application

Associability refers to the ability to associate or link things together in our minds. It plays an important role in our daily lives, helping us to understand and process information more effectively.

For example, when we see a word, we can quickly associate it with other words or ideas in our mind, forming a network of associations that helps us to understand its meaning better. Similarly, we can use associative methods to solve problems or find patterns in data, which can be helpful in many different contexts.

Associability is not only useful for humans, but also for machines and computers. By using associative algorithms, machines can learn from previous experiences and make predictions based on patterns that they have identified. This allows machines to become more intelligent and adaptive, making them more useful in a wide range of applications.

In conclusion, associability is an essential skill that we all possess to some extent, and it can be used to help us understand and solve problems more effectively. By harnessing this skill, we can improve our cognitive abilities and make progress in many different areas of life.