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Punctuation Restoration using Transformer Models for High-and Low-Resource Languages

Research article (Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020), 2020) · cited 66× · AI/ML
academia openalex:W3106905592
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Punctuation Restoration using Transformer Models for High-and Low-Resource Languages

Summary

Punctuation Restoration using Transformer Models for High-and Low-Resource Languages is a scholarly article[1].

Key Facts

  • Punctuation Restoration using Transformer Models for High-and Low-Resource Languages's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Punctuation Restoration using Transformer Models for High-and Low-Resource Languages. Retrieved May 24, 2026, from https://4ort.xyz/entity/punctuation-restoration-using-transformer-models-for-high-and-low-resource-languages
MLA “Punctuation Restoration using Transformer Models for High-and Low-Resource Languages.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/punctuation-restoration-using-transformer-models-for-high-and-low-resource-languages.
BibTeX @misc{4ortxyz_punctuation-restoration-using-transformer-models-for-high-and-low-resource-languages_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Punctuation Restoration using Transformer Models for High-and Low-Resource Languages}}, year = {2026}, url = {https://4ort.xyz/entity/punctuation-restoration-using-transformer-models-for-high-and-low-resource-languages}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Punctuation Restoration using Transformer Models for High-and Low-Resource Languages — https://4ort.xyz/entity/punctuation-restoration-using-transformer-models-for-high-and-low-resource-languages (retrieved 2026-05-24)

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