<div>Dear all,</div>
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<p style="BACKGROUND: white; MARGIN: 0in 0in 0pt; DIRECTION: ltr; TEXT-ALIGN: left"><span style="FONT-SIZE: 9.5pt; FONT-FAMILY: Arial">couple of days back i put a query regarding transcribing English text into Urdu and in response received some worthwhile suggestions.</span></p>
<p style="BACKGROUND: white; MARGIN: 0in 0in 0pt; DIRECTION: ltr; TEXT-ALIGN: left"><span style="FONT-SIZE: 9.5pt; FONT-FAMILY: Arial">the one on which i am working right now makes use of CMU pronunciation dictionary and it is working fine but OOV still remain a problem. one possible solution is to train neural nets or HMM on CMU pronunciation dictionary which later on can be used to predict pronunciation of <span> </span>unknown words. so </span><span style="FONT-SIZE: 9.5pt; FONT-FAMILY: Arial">i wanted to know if any related exercise has been done in this regard or not?</span></p>
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<p style="BACKGROUND: white; MARGIN: 0in 0in 0pt; DIRECTION: ltr; TEXT-ALIGN: left"><span style="FONT-SIZE: 9.5pt; FONT-FAMILY: Arial">secondly does any pronunciation dictionary (English) exist that provides syllabified word transcription instead of just providing transcription or any tool that syllabifies English text?</span></p>
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<p style="BACKGROUND: white; MARGIN: 0in 0in 0pt; DIRECTION: ltr; TEXT-ALIGN: left"><span style="FONT-SIZE: 9.5pt; FONT-FAMILY: Arial">regards</span></p>
<p style="BACKGROUND: white; MARGIN: 0in 0in 0pt; DIRECTION: ltr; TEXT-ALIGN: left"><span style="FONT-SIZE: 9.5pt; FONT-FAMILY: Arial">Madiha</span></p></div>
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