Word Segmentation and Part-of-Speech Tagging Engine

Word segmentation is a fundamental problem in Myanmar NLP, whose importance cannot be overestimated. Word segmentation lays the foundation for many task in NLP, such as spelling correction, POS tagging, dependency parsing, etc. Here we have combined word segmenter and POS tagger into one demo.

On the other hand, Part-of-speech (POS) tagging depends heavily on word segmentation and sentence structure. Many issues arose from maintaining consistent segmentation and tagging standard amongst team members to following Myanmar grammatical structure, from capturing the immediate meaning of the sentence to capturing slangs, from technical correctness to adjusting for the end goals. There are so many subtleties that you would have to try out yourself!

Example Use Cases

POS Tags

noun နာမ်
adjective နာမဝိသေသန
adverb ကြိယာဝိသေသန
punc ပုဒ်ဖြတ်ပုဒ်ရပ်သင်္ကေတ
interjection အာမေဋိတ်
particle ပစ္စည်း
unknown unknown
foreign word အခြား ဘာသာစကား
verb ကြိယာ
emoticon emotion expressed icon
post positional marker ဝိဘတ်
number အရေအတွက်
pronoun နာမ်စား
conjunction သမ္ဗန္ဒ
symbol သင်္ကေတ
vulgar အမုန်းစကား
text number ဂဏန်းစာသား


This is the demo version of the Myanmar POS Tagger, so we do not guarantee 100% for the result.


Copy text

char limitation - 1000 chars/call
call limitation - 10 call/min