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        <title>A Parallel Corpus and Dictionary for Amis-Mandarin Translation</title>
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    <abstract>Amis is an endangered language indigenous to Taiwan with limited data available for computational processing. We thus present an Amis-Mandarin dataset containing a parallel corpus of 5,751 Amis and Mandarin sentences and a dictionary of 7,800 Amis words and phrases with their definitions in Mandarin. Using our dataset, we also established a baseline for machine translation between Amis and Mandarin in both directions. Our dataset can be found at https://github.com/francisdzheng/amis-mandarin.</abstract>
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%0 Conference Proceedings
%T A Parallel Corpus and Dictionary for Amis-Mandarin Translation
%A Zheng, Francis
%A Marrese-Taylor, Edison
%A Matsuo, Yutaka
%Y Hämäläinen, Mika
%Y Alnajjar, Khalid
%Y Partanen, Niko
%Y Rueter, Jack
%S Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities
%D 2022
%8 November
%I Association for Computational Linguistics
%C Taipei, Taiwan
%F zheng-etal-2022-parallel
%X Amis is an endangered language indigenous to Taiwan with limited data available for computational processing. We thus present an Amis-Mandarin dataset containing a parallel corpus of 5,751 Amis and Mandarin sentences and a dictionary of 7,800 Amis words and phrases with their definitions in Mandarin. Using our dataset, we also established a baseline for machine translation between Amis and Mandarin in both directions. Our dataset can be found at https://github.com/francisdzheng/amis-mandarin.
%U https://aclanthology.org/2022.nlp4dh-1.11
%P 79-84

Markdown (Informal)

[A Parallel Corpus and Dictionary for Amis-Mandarin Translation](https://aclanthology.org/2022.nlp4dh-1.11) (Zheng et al., NLP4DH 2022)

• A Parallel Corpus and Dictionary for Amis-Mandarin Translation (Zheng et al., NLP4DH 2022)

ACL

• Francis Zheng, Edison Marrese-Taylor, and Yutaka Matsuo. 2022. A Parallel Corpus and Dictionary for Amis-Mandarin Translation. In Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities, pages 79–84, Taipei, Taiwan. Association for Computational Linguistics.