Meaningcompletion
Meaningcompletion refers to the cognitive and computational act of inferring complete meaning from partial or ambiguous linguistic input. It involves filling gaps in language, resolving references, and reconstructing intended messages by drawing on syntax, semantics, discourse context, and general world knowledge. The term is used variably in scholarly literature, overlapping with notions such as inference, implicature, and semantic recovery.
Within linguistic theory, meaningcompletion aligns with pragmatic interpretation, where listeners derive content that is implied rather
In artificial intelligence and natural language processing, meaningcompletion describes tasks where a system restores or predicts
Applications include dialogue systems, machine translation, summarization, information extraction, and question answering. Challenges include ambiguity and
- natural language understanding
- context