CHALLENGES AND STRATEGIES FOR TERMINOLOGICAL CLARITY IN COMPUTER LINGUISTICS
Keywords:
Keywords: computational linguistics; polysemy; terminological clarity; natural language processing; homonymy; metaphorical extension; syntactic ambiguity; standardized terminology.Abstract
This paper delves into the intricate challenge of polysemy within computational
linguistics, a field uniquely positioned at the intersection of language and technology.
Polysemy, the phenomenon of multiple meanings for a single term, is both a linguistic
richness and a computational hurdle. The paper discusses how diverse meanings of
terms in different subfields can lead to ambiguities in computational models. The paper
also explores various polysemy types, including homonymy, metaphorical extension,
and syntactic ambiguity, highlighting their implications for natural language
processing and professional communication. Emphasizing the need for standardized
terminology, the paper suggests strategies like comprehensive glossaries and
consensus building. Through case studies and future research directions, it underscores
the importance of tackling polysemy for advancing clarity in computational linguistics.
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