Abstract:
In Myanmar Language, Pronunciation and
orthography has differences because spelling is often
not an accurate reflection of pronunciation.
Pronunciation of a word may lead to misspelling. In this
paper, we present Myanmar Compound misused words
errors detection and suggestion generation system. In
this paper, we propose Myanmar compound misused
word error detection algorithm to apply in Myanmar
spell checker. After detecting Myanmar compound
misused words errors, we provide suggestion list, which
implemented with two methods: Cosine Similarity and
Levenshtein Distance Algorithm. To evaluate the
efficiency of the system, we tested with various types of
Myanmar sentences which contain various types of spell
errors. According to the evaluation results, our proposed
system achieves promising accuracy (over 90 %) for
Myanmar compound misused words errors detection. By
analyzing these two results, we found that Levenshtein
Distance Algorithm can provide better relevant
suggestion list.
