Library Automation and Digital Archive
LONTAR
Fakultas Ilmu Komputer
Universitas Indonesia

Pencarian Sederhana

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Call Number SEM-369
Collection Type Indeks Artikel prosiding/Sem
Title Rule Based Automated Pronunciation Generator (hal 37-40)
Author Ayesha Binte Mosaddeque;
Publisher Satellite workshop on language artifical intelligence and computer science for natural processing applications (LAICS-NLP) October 19 2006
Subject
Location
Lokasi : Perpustakaan Fakultas Ilmu Komputer
Nomor Panggil ID Koleksi Status
SEM-369 TERSEDIA
Tidak ada review pada koleksi ini: 45928
This paper present a rule based pronunciaton generator for bangla words. It takes a words and finds the pronunciations for the graphemes of the word. A grapheme is a unit in writing that cannot be analyzed into smaller components. Resolving the pronunciation of a polyphone grapheme(i.e grapheme that generates more than one phoneme) is the major hurdle that the automated pronunciation generator (APG) encounters. Bangla is partially phonetic in nature, thus we can define rules to handle most of the cases. besides, up till now we lack a balanced corpus which could be used for a statistical pronunciation generator. As a result, for the time being a rule-based approach towards implementing the APG for banglaturnsn out to be effocient.