Fast Bootstrapping of Grapheme to Phoneme System for Under-resourced Languages - Application to the Iban Language

Juan, Sarah Samson and Besacier, Laurent (2013) Fast Bootstrapping of Grapheme to Phoneme System for Under-resourced Languages - Application to the Iban Language. In: Proceedings of 4th Workshop on South and Southeast Asian Natural Language Processing 2013, Nagoya, Japan.

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Abstract

This paper deals with the fast bootstrapping of Grapheme-to-Phoneme (G2P) conversion system, which is a key module for both automatic speech recognition (ASR), and text-to-speech synthesis (TTS). The idea is to exploit language contact between a local dominant language (Malay) and a very under-resourced language (Iban - spoken in Sarawak and in several parts of the Borneo Island) for which no resource nor knowledge is really available. More precisely, a pre-existing Malay G2P is used to produce phoneme sequences of Iban words. The phonemes are then manually post-edited (corrected) by an Iban native. This resource, which has been produced in a semi-supervised fashion, is later used to train the first G2P system for Iban language. As a by-product of this methodology, the analysis of the “pronunciation distance” between Malay and Iban enlighten the phonological and orthographic relations between these two languages. The experiments conducted show that a rather efficient Iban G2P system can be obtained after only two hours of post-edition (correction) of the output of Malay G2P applied to Iban words.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: fast bootstrapping of Grapheme-to-Phoneme (G2P), automatic speech recognition (ASR), text-tospeech synthesis (TTS), Languages, Universiti Malaysia Sarawak, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Dr Sarah Samson Juan
Date Deposited: 16 Oct 2015 01:10
Last Modified: 16 Oct 2015 01:10
URI: http://ir.unimas.my/id/eprint/8876

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