"achieve the meaning" is a correct and usable part of a sentence in written English.
You can use it when you are attempting to explain that someone has done something in order to understand a concept or achieve a certain goal. For example: "John studied for hours in order to achieve the meaning of the complex text."
Fifth, the "sort" feature located underneath the search field is in the same location as SuperGu despite the utilization of different words to achieve the same meaning to the user.
In order to achieve the intended meaning, it should be 'I couldn't care less.'" ― Georgie Kempton.
Poverty and the concomitant absence of opportunity can be equally crushing; our focus on sub-Saharan cities emerged from the knowledge that this region was the furthest off-track in its efforts to achieve the MDGs, meaning that, without determined, targeted interventions, several hundred million African children will be deprived of hope.
For example the question "The nurse is understanding in listening to a patient's problems", this was translated differently in the two populations in order to achieve the same meaning.
Their answers revealed that two-thirds of children achieved the target, meaning one-third did not.
GOP alternative plans use a different means to achieve the same end: "continuous coverage," meaning that pre-existing conditions must be covered without premium increases if the consumer has maintained insurance without a significant lapse.
And if we did that, that would achieve the economist test of sustainability, meaning it would get the deficit down to a modest primary surplus so the debt would start falling as a share of GDP.
Item equivalence is achieved when the meaning of the individual item in both sets of questionnaires is contextually similar.
A balanced and responsible view will only be achieved if the meaning of the multiplicity of actions is clearly seen and distinctions are made between the various experimental systems and the relevance of their outcome relative to the situation in a patient.
Similarly, if a bias exists in your organization, whether in the way people are hired, or developed, or promoted, just taking the existing data as a basis for your machine learning may actually achieve the opposite of what you are trying to achieve — meaning it can reinforce and amplify bias instead of eliminating it.
