Evaluation on knowledge extraction and machine learning in resolving Malay word ambiguity

Abstract

The involvement of linguistic professionals in resolving the ambiguity of a word within a particular context will produce a concise meaning of the words that are found in the lexical knowledge based collection. Motivated from that issue, we employed lexical knowledge and machine learning approach which includes the integration of data or/and information from the lexical knowledge based, that is Malay collections which linked to the ambiguous words. We show that the proposed method has improved the precision in resolving ambiguity.