Killkan: The Automatic Speech Recognition Dataset for Kichwa with Morphosyntactic Information
International Conference on Computational Linguistics(2024)
摘要
This paper presents Killkan, the first dataset for automatic speech
recognition (ASR) in the Kichwa language, an indigenous language of Ecuador.
Kichwa is an extremely low-resource endangered language, and there have been no
resources before Killkan for Kichwa to be incorporated in applications of
natural language processing. The dataset contains approximately 4 hours of
audio with transcription, translation into Spanish, and morphosyntactic
annotation in the format of Universal Dependencies. The audio data was
retrieved from a publicly available radio program in Kichwa. This paper also
provides corpus-linguistic analyses of the dataset with a special focus on the
agglutinative morphology of Kichwa and frequent code-switching with Spanish.
The experiments show that the dataset makes it possible to develop the first
ASR system for Kichwa with reliable quality despite its small dataset size.
This dataset, the ASR model, and the code used to develop them will be publicly
available. Thus, our study positively showcases resource building and its
applications for low-resource languages and their community.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要