deracinated

deracinated的音标是[dɪ"reɪsɪeɪtɪd]，基本翻译是“剥夺土地的；脱土的”，速记技巧为“der=剥夺，racin=土地，ate=做某事”。

Deracinated这个词的词源可以追溯到拉丁语和希腊语，意为“剥夺了其根源”。它的变化形式主要有复数形式deracinated，过去式和过去分词deracinated，现在分词形式deracinated。

相关单词：

decapitation：斩首，剥夺头部，处决

exile：流放，放逐，剥夺公民身份

dismemberment：肢解，剥夺权利

uproot：拔出，根除，剥夺地位

rootless：无根的，漂泊的，无依靠的

uprooted：被拔出的，漂泊的，无依靠的

marginalized：边缘化的，被排斥的

deprivation：剥夺，丧失

expulsion：驱逐，开除，剥夺权利

dislocation：混乱，无秩序，丧失功能

这些单词都与deracinated这个词有某种程度的关联，它们都表示剥夺或丧失某种权利、地位或身份的情况。例如，dismemberment可以指肢解一个整体，使其丧失完整性；uprooted可以指一个个体被剥夺其根基，被迫离开原居住地。这些单词都反映了社会、政治、经济等领域的动态和变迁。

常用短语：

1. deracinated from

2. deracination process

3. complete deracination

4. deracinated data

5. deracinated data set

6. deracinated data structure

7. deracinated data type

双语例句：

1. The process of deracination is complex and requires careful handling.

2. The data in the deracinated dataset is difficult to interpret because it lacks contextual information.

3. The deracinated data type is a specialized data structure that is used for specific purposes.

4. The deracination process can be time-consuming and resource-intensive, especially when dealing with large datasets.

5. The data in the deracinated data set is completely independent of its original source and can be used independently of its original context.

英文小作文：

Title: The Dilemma of Data Deracination

Data deracination is a necessary process in many fields, such as data science and machine learning, where datasets are often collected from various sources and need to be standardized for analysis and processing. However, deracination can be a challenging task, as it often involves removing contextual information that is essential for proper interpretation and use of the data. On the one hand, deracination ensures that the data is independent of its original source, making it easier to share and reuse; on the other hand, it can also lead to loss of valuable information that is crucial for understanding the data"s true meaning and value. Therefore, it is essential to carefully consider the trade-offs between data standardization and information loss when embarking on a deracination project.