CCMT2023 Tibetan-Chinese Machine Translation Evaluation Technical Report

Gyatso, Kalzang; Liu, Peizhuo; Jing, Yi; Li, Yinqiao; Tashi, Nyima; Xiao, Tong; Zhu, Jingbo

doi:10.1007/978-981-99-7894-6_3

Communications in Computer and Information Science

2023

DOI: 10.1007/978-981-99-7894-6_3

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CCMT2023 Tibetan-Chinese Machine Translation Evaluation Technical Report

Kalzang Gyatso,

Peizhuo Liu,

Yi Jing

et al.

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2024

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Neural Machine Translation for Low-Resource Languages from a Chinese-centric Perspective: A Survey

Zhang,

Su,

et al. 2024

ACM Trans. Asian Low-Resour. Lang. Inf. Process.

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Machine translation—the automatic transformation of one natural language (source language) into another (target language) through computational means—occupies a central role in computational linguistics and stands as a cornerstone of research within the field of Natural Language Processing (NLP). In recent years, the prominence of Neural Machine Translation (NMT) has grown exponentially, offering an advanced framework for machine translation research. It is noted for its superior translation performance, especially when tackling the challenges posed by low-resource language pairs that suffer from a limited corpus of data resources. This article offers an exhaustive exploration of the historical trajectory and advancements in NMT, accompanied by an analysis of the underlying foundational concepts. It subsequently provides a concise demarcation of the unique characteristics associated with low-resource languages and presents a succinct review of pertinent translation models and their applications, specifically within the context of languages with low-resources. Moreover, this article delves deeply into machine translation techniques, highlighting approaches tailored for Chinese-centric low-resource languages. Ultimately, it anticipates upcoming research directions in the realm of low-resource language translation.

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Neural Machine Translation for Low-Resource Languages from a Chinese-centric Perspective: A Survey

Zhang,

Su,

et al. 2024

ACM Trans. Asian Low-Resour. Lang. Inf. Process.

View full text Add to dashboard Cite

show abstract

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CCMT2023 Tibetan-Chinese Machine Translation Evaluation Technical Report

Cited by 1 publication

References 4 publications

Neural Machine Translation for Low-Resource Languages from a Chinese-centric Perspective: A Survey

Neural Machine Translation for Low-Resource Languages from a Chinese-centric Perspective: A Survey

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