Automatic speech recognition systems with a large vocabulary and other natural language
processing applications cannot operate without a language model. Most studies on pre …

Nowadays, creation of the tagged corpora is becoming one of the most important tasks of
Natural Language Processing (NLP). There are not enough tagged corpora to build …

We present an open-source speech corpus for the Kazakh language. The Kazakh speech
corpus (KSC) contains around 332 hours of transcribed audio comprising over 153,000 …

We present the first industrial-scale open-source Kazakh speech corpus for automatic
speech recognition research and development. Our corpus subsumes two previously …

This paper introduces a high-quality open-source speech synthesis dataset for Kazakh, a
low-resource language spoken by over 13 million people worldwide. The dataset consists of …

The rapid development of natural language processing and deep learning techniques has
boosted the performance of related algorithms in several linguistic and text mining tasks …

We explain how semantic hyper-graphs are used to describe ontological models of
morphological rules of agglutinative languages, with the Kazakh language as a case study …

Industry-specific translation is one of the rapidly developing and highly demanded sectors in
Kazakhstan. This paper discusses the theoretical and methodological issues of compiling a …

Currently, the volume of various information resources in the Turkic languages is increasing.
Processing of such resources requires thesauri and corpora created using a single …

The present work is a report on the authors' first attempt to use the universal dependencies
(UD)(de Marneffe et al., 2014) standard for syntactic annotation of Kazakh. The report is a …