An Exploratory Study on Malay Processing Tool for Acquisition of Taxonomy Using FCA

In an effort to develop a tool for automatic ontology building from Malay text based on formal concept analysis, an effective natural language processing (NLP) tool as the pre-processing components is needed. The goal of the study is to investigate whether existing Malay NLP tools can be a viable component to be part of the ontology learning tool. This paper discusses the outcome of the study on three NLP applications. The annotated corpus approach was adopted in this study as deemed suitable for exploratory research. Using the metrics relative subject recall and precision, the results obtained show that statistical modeling technique outperformed pola grammar technique.