arXiv Open Access 2020

Low-resource Languages: A Review of Past Work and Future Challenges

Alexandre Magueresse Vincent Carles Evan Heetderks

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Abstrak

A current problem in NLP is massaging and processing low-resource languages which lack useful training attributes such as supervised data, number of native speakers or experts, etc. This review paper concisely summarizes previous groundbreaking achievements made towards resolving this problem, and analyzes potential improvements in the context of the overall future research direction.

Topik & Kata Kunci

cs.CL

Penulis (3)

Alexandre Magueresse

Vincent Carles

Evan Heetderks

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APA MLA BibTeX

Magueresse, A., Carles, V., Heetderks, E. (2020). Low-resource Languages: A Review of Past Work and Future Challenges. https://arxiv.org/abs/2006.07264

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓