Hybrid, Three-stage Named Entity Recognizer for Tamil
نویسندگان
چکیده
The aim of this paper is to present the construction of a hybrid, three-stage named entity recognizer for Tamil. Named entity recognition performs an in-place tagging task for a given Tamil document in three phases namely shallow parsing, shallow semantic parsing and statistical processing. The E-M algorithm (HMM) is used in the statistical processing phase, with initial probabilities obtained from the shallow parsing phase, and a modification to the E-M algorithm deals with inputs from the shallow semantic parsing phase. This study is concentrated on entity names (personal names, location names and organization names), temporal expressions (dates and times) and number expressions. Both NER tags and POS tags are used as the hidden variables in the E-M algorithm. The average Fvalues obtained from the system 72.72% for the various entity types.
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