associability的音標是[??s?u?s??b?l?ti]。

基本翻譯是“關聯性；聯想性”。

速記技巧是：as-so-vis-abil-ity。其中，as表示“像…一樣”，so表示“如此”，vis表示“看”，abil表示“能力”，ity是名詞后綴。整體表示“能夠被關聯的能力”。

Associability的英文詞源為：

“associate”意為“與…相關聯”

“-ability”是名詞后綴

Associability的意思是“關聯性，可關聯性”，指某物能夠與其他事物關聯的能力或特征。

變化形式：無

相關單詞：

1. association n. 協會，團體；聯合，結合

2. associative adj. 聯想的；聯合的

3. associative memory 聯想記憶；聯想存儲器

4. associative learning 聯想學習；聯想式學習

5. associative thinking 聯想式思維；聯想式思考

6. associative verb 聯想動詞；關聯動詞

7. associative adjective 聯想形容詞；關聯形容詞

8. associative noun 關聯名詞；聯想名詞

9. associative synonym 關聯同義詞；聯想同義詞

10. associative imagery 聯想意象；關聯意象

以上單詞都與associability有直接或間接的關系，它們在英語中廣泛使用，可以幫助我們更好地理解和運用associability這個詞匯。

associability 常用短語：

1. associative with 與...有聯系

2. associative learning 聯想學習

3. associative memory 聯想記憶

4. associative matrix 關聯矩陣

5. associative rule 關聯規則

6. associative function 關聯函數

7. associative product 結合產品

雙語例句：

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

這兩個想法之間有很強的聯系。

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

她對記住名字有很好的聯想記憶力。

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

這兩個概念緊密相關，可以被視為關聯的。

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

關聯矩陣是分析數據關系的有力工具。

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

關聯規則是一種在數據中尋找模式的方法。

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

結合產品的功能是按一定方式組合元素。

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

老師用聯想的方法幫助我們更好地理解這個主題。

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.