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Autori principali: Dent, Rasul, Suarez, Pedro Ortiz, Clérice, Thibault, Sagot, Benoît
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2503.06547
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author Dent, Rasul
Suarez, Pedro Ortiz
Clérice, Thibault
Sagot, Benoît
author_facet Dent, Rasul
Suarez, Pedro Ortiz
Clérice, Thibault
Sagot, Benoît
contents Automatic language identification is frequently framed as a multi-class classification problem. However, when creating digital corpora for less commonly written languages, it may be more appropriate to consider it a data mining problem. For these varieties, one knows ahead of time that the vast majority of documents are of little interest. By minimizing resources spent on classifying such documents, we can create corpora much faster and with better coverage than using established pipelines. To demonstrate the effectiveness of the language mining perspective, we introduce a new pipeline and corpora for several French-based Creoles.
format Preprint
id arxiv_https___arxiv_org_abs_2503_06547
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle KréyoLID From Language Identification Towards Language Mining
Dent, Rasul
Suarez, Pedro Ortiz
Clérice, Thibault
Sagot, Benoît
Computation and Language
Automatic language identification is frequently framed as a multi-class classification problem. However, when creating digital corpora for less commonly written languages, it may be more appropriate to consider it a data mining problem. For these varieties, one knows ahead of time that the vast majority of documents are of little interest. By minimizing resources spent on classifying such documents, we can create corpora much faster and with better coverage than using established pipelines. To demonstrate the effectiveness of the language mining perspective, we introduce a new pipeline and corpora for several French-based Creoles.
title KréyoLID From Language Identification Towards Language Mining
topic Computation and Language
url https://arxiv.org/abs/2503.06547