Abstract:
In this paper a grammatical-based word
segmentation algorithm is presented. As the
nature of Myanmar language, word
segmentation process is necessary for machine
translation, speech recognition, speech
synthesis, etc. Many segmentation methods for
Myanmar have been proposed for many reasons.
Language model is the main part of computing
on statistical speech recognition method. This
word segmentation algorithm is proposed to use
in building word-based language model for
continuous speech recognition. We have used
16950 sentences for word segmentation. In this
algorithm, we used post-positional marker and
conjunction as word token markers. The output
word lists are used to compute the probability of
word order sequence for speech recognition
system.
