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Handling Massive <i>N</i> -Gram Datasets Efficiently

Research article (ACM Transactions on Information Systems, 2019) · cited 24× · AI/ML
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Handling Massive N -Gram Datasets Efficiently

Summary

Handling Massive N -Gram Datasets Efficiently is a scholarly article[1].

Key Facts

  • Handling Massive N -Gram Datasets Efficiently'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). Handling Massive <i>N</i> -Gram Datasets Efficiently. Retrieved May 24, 2026, from https://4ort.xyz/entity/handling-massive-i-n-i-gram-datasets-efficiently
MLA “Handling Massive <i>N</i> -Gram Datasets Efficiently.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/handling-massive-i-n-i-gram-datasets-efficiently.
BibTeX @misc{4ortxyz_handling-massive-i-n-i-gram-datasets-efficiently_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Handling Massive <i>N</i> -Gram Datasets Efficiently}}, year = {2026}, url = {https://4ort.xyz/entity/handling-massive-i-n-i-gram-datasets-efficiently}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Handling Massive <i>N</i> -Gram Datasets Efficiently — https://4ort.xyz/entity/handling-massive-i-n-i-gram-datasets-efficiently (retrieved 2026-05-24)

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