ambiguity classification
[æm.bɪ.ˈɡju.ə.ti ˌklæs.ə.fɪ.ˈkeɪ.ʃən]
nounpl: ambiguity classifications
classificação de ambiguidade
1. A system or process of categorizing or identifying different types of ambiguities in language, text, or communication
The linguist proposed an ambiguity classification to distinguish between lexical and structural ambiguities in the sentence.
O linguista propôs uma classificação de ambiguidade para distinguir entre ambiguidades lexicais e estruturais na sentença.
2. In computational linguistics and NLP, the categorization of multiple interpretations or meanings that can arise from language processing
The ambiguity classification system helped the AI better resolve pronoun references in the text.
O sistema de classificação de ambiguidade ajudou a IA a resolver melhor as referências de pronome no texto.
3. The taxonomic organization of different sources or types of uncertainty or vagueness in language interpretation
Their research focused on ambiguity classification in machine translation systems.
Sua pesquisa se concentrou na classificação de ambiguidade em sistemas de tradução automática.
This term is primarily used in academic and technical contexts in both English-speaking countries and Brazil, particularly in linguistics, computational linguistics, and natural language processing fields. It reflects the growing importance of language processing technology in both American and Brazilian educational and research institutions.
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