Artificial language decoding — select the word that could mean “aftercare” Given translations: • relftaga = carefree • otaga = careful • fertaga = careless Which constructed word could stand for “aftercare”?

Difficulty: Easy

Correct Answer: zentaga

Explanation:


Introduction / Context:
The three examples show a clear base morpheme for “care” that accepts different prefixes to alter meaning: free of care, full of care, and lacking care. The task is to apply the same structure to form “aftercare”.



Given Data / Assumptions:

  • The common element “taga” appears in all three: relftaga, otaga, fertaga → therefore “taga” = care.
  • Prefixes modify the concept: “relf–” (free of), “o–” (full of), “fer–” (less).
  • We need a prefix meaning “after–”. “zen–” is the only candidate prefix offered that is not mapped yet.


Concept / Approach:
Maintain the discovered pattern: prefix + base. Keep “taga” intact and choose a plausible new prefix for “after”. Options that move “taga” to the front or dismantle the pattern should be rejected.



Step-by-Step Solution:

Fix the base: “taga” = care.Attach a new modifier prefix to express time relation: “zen–” for after → “zentaga”.Reject inversions like “tagazen” (they scramble the demonstrated affix order).Ignore options that alter the base or mix known prefixes with unrelated endings.


Verification / Alternative check:
All given words are of the form (prefix) + (taga). Therefore, “zentaga” best preserves the morphological template and meaning “aftercare”.



Why Other Options Are Wrong:

  • tagafer: flips the structure and also uses “fer” (less), not “after”.
  • tagazen: violates the established prefix-base order.
  • relffer: removes “taga” entirely; cannot mean any kind of care.
  • otazen: combines “o–” (careful/full of care) with a stray ending; not the base “taga”.


Common Pitfalls:
Treating prefixes and suffixes as interchangeable. The examples clearly show “taga” as a stable base receiving modifiers on the left.



Final Answer:
zentaga

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