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Low-resource Languages: A Review of Past Work and Future Challenges
June 12, 2020 · The Cartographer · 🏛 arXiv.org
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"Title-pattern auto-detect: Low-resource Languages: A Review of Past Work and Future Challenges"
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Authors
Alexandre Magueresse, Vincent Carles, Evan Heetderks
arXiv ID
2006.07264
Category
cs.CL: Computation & Language
Citations
224
Venue
arXiv.org
Last Checked
1 day ago
Abstract
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.
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