We present an open-vocabulary Turkish news transcription system built with almost no language-specific resources. Our acoustic models are bootstrapped from those of a well trained source language (Italian), without using any Turkish transcribed data. For language modeling, we apply unsupervised word segmentation induced with a state-of-the-art technique (Creutz and Lagus, 2005) and we introduce a novel method to lexicalize suffixes and to recover their surface form in context without need of a morphological analyzer. Encouraging results obtained on a small test set are presented and discussed.
Building a Turkish ASR System with Minimal Resources
Bisazza, Arianna;Gretter, Roberto
2012-01-01
Abstract
We present an open-vocabulary Turkish news transcription system built with almost no language-specific resources. Our acoustic models are bootstrapped from those of a well trained source language (Italian), without using any Turkish transcribed data. For language modeling, we apply unsupervised word segmentation induced with a state-of-the-art technique (Creutz and Lagus, 2005) and we introduce a novel method to lexicalize suffixes and to recover their surface form in context without need of a morphological analyzer. Encouraging results obtained on a small test set are presented and discussed.File in questo prodotto:
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