Abstract:
This paper presents a simple rule-based POS
tagger to tag the correct syntactic categories of
the Myanmar words by applying lexicon based
word segmentation and heuristic rule based
tagging method. Firstly, input sentence is
tokenized into words by using syllable breaking
and syllable merging with longest matching
approach. Secondly, this system defines the
detailed tag sets for POS tagging process by
using nine different POS in Myanmar grammar.
Finally, the proposed system solves the POS
ambiguities of one word by applying word
disambiguation rules which are generated from
morphological features of Myanmar grammar.
So, the proposed system can provide many
benefits to Myanmar-English translation system
and other NLP tasks.
