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English(EN) "Chi nas dal soch el sent de legn" -- Auditing Text Corpora for Lombard

伦巴第语语料库存在数据质量和偏见问题

研究人员审计了伦巴第语的文本语料库,揭示了数据质量和代表性方面存在严重问题。尽管网络抓取的数据看起来很丰富,但许多数据集存在识别错误、样板文本和非语言噪音。分析还突显了对西部伦巴第语方言的严重偏见,边缘化了东部方言,并表明需要社区驱动、顾及方言差异的数据整理,而不是简单的基于数量的抓取。 AI

影响 凸显了资源匮乏语言在数据质量和代表性方面面临的关键挑战,影响了自然语言处理模型的发展。

排序理由 该集群包含一篇详细介绍语言语料库研究结果的学术论文。

在 arXiv cs.CL 阅读 →

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伦巴第语语料库存在数据质量和偏见问题

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Research
该集群包含一篇详细介绍语言语料库研究结果的学术论文。
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2 independent sources
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Topics
paper, other
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High
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Story freshness
118 days old
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报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Edoardo Signoroni, Pavel Rychl\'y ·

    "Chi nas dal soch el sent de legn" -- 审计伦巴第语文本语料库

    arXiv:2606.06349v1 Announce Type: new Abstract: Several of the world's languages are still under-resourced in terms of Natural Language Processing (NLP) tools. This is mostly due to the lack of high-quality datasets to train, develop, and evaluate systems and models for several t…

  2. arXiv cs.CL TIER_1 English(EN) · Pavel Rychlý ·

    "Chi nas dal soch el sent de legn" -- 审计伦巴第语文本语料库

    Several of the world's languages are still under-resourced in terms of Natural Language Processing (NLP) tools. This is mostly due to the lack of high-quality datasets to train, develop, and evaluate systems and models for several tasks, such as Machine Translation (MT). We condu…