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Open Access

Correction

Correction: Unsupervised acquisition of idiomatic units of symbolic natural language: An n-gram frequency-based approach for the chunking of news articles and tweets

  • Dario Borrelli,
  • Gabriela Gongora Svartzman,
  • Carlo Lipizzi
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The image for Fig 5 incorrectly shows the left line-plot and the middle line-plot as same. Please see the correct Fig 5 here.

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Fig 5. Accuracy, precision, recall.

The Fβ = 1 score, precision, and recall as a function of the corpus length. In this graph, the WSJ corpus length has also been reduced to the same dimension as the Twitter Corpus.

https://doi.org/10.1371/journal.pone.0245404.g001

Reference

  1. 1. Borrelli D, Gongora Svartzman G, Lipizzi C (2020) Unsupervised acquisition of idiomatic units of symbolic natural language: An n-gram frequency-based approach for the chunking of news articles and tweets. PLoS ONE 15(6): e0234214. https://doi.org/10.1371/journal.pone.0234214 pmid:32511252

Citation: Borrelli D, Svartzman GG, Lipizzi C (2021) Correction: Unsupervised acquisition of idiomatic units of symbolic natural language: An n-gram frequency-based approach for the chunking of news articles and tweets. PLoS ONE 16(1): e0245404. https://doi.org/10.1371/journal.pone.0245404

Published: January 7, 2021

Copyright: © 2021 Borrelli et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.