Abstract:
Name Entity Recognition (NER) is one
of the fundamental problems in many Natural
Language Processing applications. NE consists
of names, person, location, organization, time,
numerical expressions and etc. Not much works
have been done on NER for Myanmar language.
Due to the characteristics of Myanmar language,
NE extraction is more difficult than English
Language. Myanmar Language is also difficult
to distinguish NE and common word because it
lacks of orthographical information to signal
NEs, no boundary indication between words and
no capitalization like English. In this paper, we
propose NER algorithm which can recognize
three classes of NEs: Person, Organization and
Location. In identification phase, we employed
pre-defined rules generated from Language
knowledge, and Myanmar-English bi-lingual
Lexicon.
