CLIRJan 27, 2024

Indexing Portuguese NLP Resources with PT-Pump-Up

arXiv:2401.15400v179 citationsh-index: 6PROPOR
Originality Synthesis-oriented
AI Analysis

This addresses the scarcity of shared repositories for low-resource languages like Portuguese, though it is incremental as it builds on existing infrastructure concepts.

The authors tackled the problem of resource dispersion and lack of accessibility for Portuguese NLP data by developing PT-Pump-Up, a set of tools including a web platform, Python packages, and a GitHub repository, which resulted in improved organization and availability of resources for the community.

The recent advances in natural language processing (NLP) are linked to training processes that require vast amounts of corpora. Access to this data is commonly not a trivial process due to resource dispersion and the need to maintain these infrastructures online and up-to-date. New developments in NLP are often compromised due to the scarcity of data or lack of a shared repository that works as an entry point to the community. This is especially true in low and mid-resource languages, such as Portuguese, which lack data and proper resource management infrastructures. In this work, we propose PT-Pump-Up, a set of tools that aim to reduce resource dispersion and improve the accessibility to Portuguese NLP resources. Our proposal is divided into four software components: a) a web platform to list the available resources; b) a client-side Python package to simplify the loading of Portuguese NLP resources; c) an administrative Python package to manage the platform and d) a public GitHub repository to foster future collaboration and contributions. All four components are accessible using: https://linktr.ee/pt_pump_up

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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