Browse State-of-the-Art › Vietnamese Word Segmentation
Vietnamese Word Segmentation
6 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
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Most implemented papers archive 2025-07-28
6 shown of 6 papers with code (11 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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1 Oct 2022 1 repository listedIn this paper, we present the first empirical study for Vietnamese disfluency detection.
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8 Apr 2021 1 repository listedThe current COVID-19 pandemic has lead to the creation of many corpora that facilitate NLP research and downstream applications to help fight the pandemic.
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5 Oct 2020 1 repository listedWe compare the two baselines with key configurations and find that: automatic Vietnamese word segmentation improves the parsing results of both baselines; the normalized pointwise mutual information (NPMI) score (Bouma,…
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14 Jun 2020 1 repository listedIn this paper, we approach Vietnamese word segmentation as a binary classification by using the Support Vector Machine classifier.
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19 Sep 2017 1 repository listedWe propose a novel approach to Vietnamese word segmentation.
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29 Dec 2016 1 repository listedWord segmentation is the very first task for Vietnamese language processing.
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