Resolving Lexical Verb Ambiguity in Yoruba through Semantic Web Annotations

Lexical verb ambiguity refers to the potential for multiple interpretations of units speech in languages that renders it difficult or impossible understand a lexical item without additional information. The goal semantic web research is allow vast range web-accessible information and services be more effectively exploited by both humans automated tools. Technological advancement has given rise scholars developing translation systems from English Yorùbá language. However, problem arises these tools are not coping easily with nuances found especially verbs. To explore this problem, number ambiguous verbs which may pose serious challenges existing machine were generated analyzed. facilitate solution identified annotated following Qualia Structure (QS) Generative Lexicon. Protégé 4.5 employed as editing tool map QS web. With aid unique formal specification implemented each lexically verbs, system can now utilize Internationalized Resource Identifier (IRI) Unified Locator (URL) model developed link loop thereby alleviate system. This paper, therefore recommends efforts geared towards ontological annotation order foster will built