Phonotactic modeling of extremely low resource languages

A Shcherbakov; E Vylomova; N Thieberger

Conference Proceedings

Phonotactic modeling of extremely low resource languages

A Shcherbakov, E Vylomova, N Thieberger

Australasian Language Technology Association Workshop 2016 Alta 2016 Proceedings | Australasian Language Technology Association | Published : 2016

Abstract

This paper presents a novel approach to low resource language modeling. Here we propose a model for word prediction which is based on multi-variant ngram abstraction with weighted confidence level. We demonstrate a significant improvement in word recall over”traditional” Kneser-Ney back-off model for most of the examined low resource languages.

University of Melbourne Researchers

Ekaterina Vylomova Author

Nicholas Thieberger Author

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