Complete the passage by filling in the blank with the word that best fits the context based on structural clues and transition signals.
Answer:In early computational linguistics, researchers operated under the central premise that exponentially increasing training corpus volume would automatically rectify semantic misinterpretations in machine translation. Far from being an 【innocuous】 assumption, however, this foundational belief obscured how deeply polysemous terms destabilize purely frequency-driven algorithms. Indeed, where pioneer models treated syntactic transition markers as mere auxiliary noise, modern transformer architectures explicitly rely on structural contrast and continuation signals to disambiguate context-bound meanings, demonstrating that raw data volume without structural context fails to eliminate lexical ambiguity.
Answer
The word 'innocuous' (or synonymous terms such as 'benign' or 'harmless') correctly completes the blank.
The structural frame 'Far from being an [blank] assumption, however...' sets up an explicit reversal. The clause immediately following reveals that the belief had detrimental effects, as it 'obscured' critical flaws and led to 'destabilize[d]' algorithms. To maintain structural coherence with the pivot marker, the word in the blank must express the opposite of harmful or destabilizing—specifically, that the assumption appeared entirely harmless, benign, or innocuous.
Step-by-Step Solution
Key Concept
Deciphering word meaning using contrast/reversal signals ('Far from being', 'however') paired with elaboration of cause-and-effect outcomes.