Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yeshpanov, Rustem"'
We introduce KazQAD -- a Kazakh open-domain question answering (ODQA) dataset -- that can be used in both reading comprehension and full ODQA settings, as well as for information retrieval experiments. KazQAD contains just under 6,000 unique question
Externí odkaz:
http://arxiv.org/abs/2404.04487
This study focuses on the creation of the KazEmoTTS dataset, designed for emotional Kazakh text-to-speech (TTS) applications. KazEmoTTS is a collection of 54,760 audio-text pairs, with a total duration of 74.85 hours, featuring 34.23 hours delivered
Externí odkaz:
http://arxiv.org/abs/2404.01033
We introduce KazParC, a parallel corpus designed for machine translation across Kazakh, English, Russian, and Turkish. The first and largest publicly available corpus of its kind, KazParC contains a collection of 371,902 parallel sentences covering d
Externí odkaz:
http://arxiv.org/abs/2403.19399
This paper presents KazSAnDRA, a dataset developed for Kazakh sentiment analysis that is the first and largest publicly available dataset of its kind. KazSAnDRA comprises an extensive collection of 180,064 reviews obtained from various sources and in
Externí odkaz:
http://arxiv.org/abs/2403.19335
This work aims to build a multilingual text-to-speech (TTS) synthesis system for ten lower-resourced Turkic languages: Azerbaijani, Bashkir, Kazakh, Kyrgyz, Sakha, Tatar, Turkish, Turkmen, Uyghur, and Uzbek. We specifically target the zero-shot learn
Externí odkaz:
http://arxiv.org/abs/2305.15749
We present the development of a dataset for Kazakh named entity recognition. The dataset was built as there is a clear need for publicly available annotated corpora in Kazakh, as well as annotation guidelines containing straightforward--but rigorous-
Externí odkaz:
http://arxiv.org/abs/2111.13419
Autor:
Mussakhojayeva, Saida1 (AUTHOR), Dauletbek, Kaisar1 (AUTHOR), Yeshpanov, Rustem1 (AUTHOR), Varol, Huseyin Atakan1 (AUTHOR) ahvarol@nu.edu.kz
Publikováno v:
Information (2078-2489). Feb2023, Vol. 14 Issue 2, p74. 18p.
