Building Language Models for Morphological Rich Low-Resource Languages using Data from Related Donor Languages: the Case of Uyghur

no code implementations • LREC 2020 • Ayimunishagu Abulimiti, Tanja Schultz

In this work, we show our effort to build word-based as well as morpheme-based language models for Uyghur, a language that combines both challenges, i. e. it is a low-resource and agglutinative language.

Language Modelling

Automatic Speech Recognition for Uyghur through Multilingual Acoustic Modeling

no code implementations • LREC 2020 • Ayimunishagu Abulimiti, Tanja Schultz

For the developing of multilingual speech recognition system for Uyghur, we used Turkish as donor language, which we selected from GlobalPhone corpus as the most similar language to Uyghur.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1