Araucárias: um corpus de árvores sintáticas para o ensino da sintaxe do português brasileiro

Automatic syntactic parsers can support the teaching of Brazilian Portuguese. However, existing corpora that underpin such parsers are primarily designed for industrial applications rather than for the instruction of the vernacular. In this context, we propose the Araucárias corpus, a collection of syntactic trees derived from well-formed Portuguese sentences. The aim is to demonstrate its relevance for educational purposes in comparison to other existing corpora. Due to its relatively intuitive, simple, and evocative nature—attributes that are absent in the evaluated existing corpora—Araucárias is expected to offer a more viable approach to teaching Portuguese syntax.

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Publication Details

Journal
Anais do Computer on the Beach
Published
2025-05-27
DOI
https://doi.org/10.14210/cotb.v16.p287-293
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Araucárias: um corpus de árvores sintáticas para o ensino da sintaxe do português brasileiro

Wagner Ferreira Lima, Cinthyan R. S. C. de Barbosa
Anais do Computer on the Beach
Natural Language Processing Techniques
article

Araucárias: um corpus de árvores sintáticas para o ensino da sintaxe do português brasileiro

Wagner Ferreira Lima, Cinthyan R. S. C. de Barbosa
article en

Abstract

Automatic syntactic parsers can support the teaching of Brazilian Portuguese. However, existing corpora that underpin such parsers are primarily designed for industrial applications rather than for the instruction of the vernacular. In this context, we propose the Araucárias corpus, a collection of syntactic trees derived from well-formed Portuguese sentences. The aim is to demonstrate its relevance for educational purposes in comparison to other existing corpora. Due to its relatively intuitive, simple, and evocative nature—attributes that are absent in the evaluated existing corpora—Araucárias is expected to offer a more viable approach to teaching Portuguese syntax.

Anais do Computer on the Beach
Universidade Estadual de Londrina (BR)
Openalex Percentile: Top 95%
Natural Language Processing Techniques
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